CN113032168B - Data transmission rate dynamic adjustment method and device, electronic equipment and storage medium - Google Patents
Data transmission rate dynamic adjustment method and device, electronic equipment and storage medium Download PDFInfo
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- CN113032168B CN113032168B CN202110377522.3A CN202110377522A CN113032168B CN 113032168 B CN113032168 B CN 113032168B CN 202110377522 A CN202110377522 A CN 202110377522A CN 113032168 B CN113032168 B CN 113032168B
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Abstract
The invention relates to a data analysis technology, and discloses a dynamic adjustment method for data transmission rate, which comprises the following steps: generating unique identifiers of a plurality of server systems according to system interface parameters; establishing a data cache queue of each server system by using the unique identifier; writing the data to be transmitted into a data cache queue at a preset writing rate so as to push the data to be transmitted to a corresponding server system for data transmission, and monitoring the immediate success rate of data transmission in real time; calculating the success rate index of each server system according to the historical success rate information and the immediate success rate of each server system; and adjusting the writing rate in the data cache queue according to the success rate index. In addition, the invention also relates to a blockchain technology, and data to be transmitted can be stored in nodes of the blockchain. The invention also provides a data transmission rate dynamic adjustment device, electronic equipment and a computer readable storage medium. The invention can solve the problem of low data pushing efficiency.
Description
Technical Field
The present invention relates to the field of data analysis technologies, and in particular, to a method and apparatus for dynamically adjusting a data transmission rate, an electronic device, and a computer readable storage medium.
Background
With the development of computer technology, massive data are generated in the internet, and the data are required to be pushed to corresponding users so as to realize the transfer of the data among people. Most merchants cooperate with data service providers to realize unified data transmission when pushing data to users.
At present, the main data pushing method mostly sends data to a data service provider, and a short message service provider performs unified scheduling and pushing. However, in this method, if a data service provider receives a large amount of data in a short time, for example, twenty-two data per year, a large amount of promotion data needs to be pushed by the data service provider, which results in that the data pushing rate exceeds the service upper limit of the data service provider, and the pushing system is down, so that the efficiency of data pushing is low.
Disclosure of Invention
The invention provides a method and a device for dynamically adjusting data transmission rate and a computer readable storage medium, and mainly aims to solve the problem of low data pushing efficiency.
In order to achieve the above object, the present invention provides a method for dynamically adjusting a data transmission rate, including:
acquiring system interface parameters of a plurality of server systems, and generating unique identifiers of each server system according to the system interface parameters;
establishing a data cache queue of each server system by utilizing the unique identification;
acquiring data to be transmitted, and writing the data to be transmitted into the data cache queue at a preset writing rate;
pushing the data to be sent in the data cache queue to a corresponding server system for data sending, and monitoring the immediate success rate of data sending in each server system in real time;
acquiring historical success rate information of each server system, and calculating a success rate index of each server system according to the historical success rate information and the immediate success rate;
and adjusting the writing rate in the data cache queue corresponding to each server system according to the success rate index.
Optionally, the acquiring system interface parameters of the plurality of server systems includes:
determining the system environment of each server system, and selecting a compiler corresponding to the system environment; the method comprises the steps of carrying out a first treatment on the surface of the
Generating a system file call statement by using the compiler;
executing the system file call statement to acquire a system file of each system;
and analyzing the system file to obtain the system interface parameters of each system.
Optionally, the parsing the system file to obtain system interface parameters of each system includes:
performing field division on the system file to obtain a plurality of file fields;
extracting a field type of each file field in the plurality of file fields;
selecting a file field of a preset type as an interface parameter field;
and analyzing the interface parameter field to obtain system interface parameters.
Optionally, the establishing a data cache queue of each server system by using the unique identifier includes:
creating blank data queues with preset lengths which are the same as the number of the plurality of server systems, and marking the blank data queues by utilizing the unique identification;
determining a cache data type;
and performing queue variable assignment on the blank data queues according to the cache data types to obtain the data cache queues of each server system.
Optionally, the writing the data to be sent into the data cache queue at a preset writing rate includes:
Carrying out data stream conversion on the data to be sent to obtain a data stream;
and writing the data stream into the data cache queue according to a preset writing rate.
Optionally, the calculating the success rate index of each server system according to the historical success rate information and the immediate success rate includes:
analyzing the success rate trend value of each server system according to the historical success rate information;
and calculating the success rate index of each server system according to the success rate trend value and the immediate success rate.
Optionally, the adjusting the writing rate in the data cache queue corresponding to each server system according to the success rate index includes:
judging whether the success rate index is larger than a preset success rate threshold value or not;
if the success rate index is larger than a preset success rate threshold, increasing the push rate in a data cache queue corresponding to a server system with the success rate index larger than the preset success rate threshold;
and if the success rate index is smaller than or equal to a preset success rate threshold, reducing the push rate in the data cache queue corresponding to the server system with the success rate index smaller than or equal to the preset success rate index threshold.
In order to solve the above problems, the present invention further provides a device for dynamically adjusting a data transmission rate, the device comprising:
the system comprises an identifier generation module, a service side identification module and a service side identification module, wherein the identifier generation module is used for acquiring system interface parameters of a plurality of service side systems and generating unique identifiers of each service side system according to the system interface parameters;
the queue construction module is used for establishing a data cache queue of each server system by utilizing the unique identifier;
the data caching module is used for acquiring data to be sent, and writing the data to be sent into the data caching queue at a preset writing rate;
the data pushing module is used for pushing the data to be sent in the data cache queue to the corresponding server system for data sending, and monitoring the immediate success rate of data sending in each server system in real time;
the index calculation module is used for acquiring the historical success rate information of each server system and calculating the success rate index of each server system according to the historical success rate information and the immediate success rate;
and the dynamic rate adjustment module is used for adjusting the writing rate in the data cache queue corresponding to each server system according to the success rate index.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
a memory storing at least one instruction; and
And the processor executes the instructions stored in the memory to realize the dynamic data transmission rate adjustment method.
In order to solve the above-mentioned problems, the present invention also provides a computer-readable storage medium having stored therein at least one instruction that is executed by a processor in an electronic device to implement the above-mentioned data transmission rate dynamic adjustment method.
According to the embodiment of the invention, the data pushing rates of a plurality of server systems with the data pushing function are detected simultaneously, and the success rate index of each server system is calculated according to the historical success rate information and the immediate success rate, so that the success rate index of the server system can be judged by combining the historical trend with the current system success rate, the pushing rate is prevented from being adjusted according to the success rate of the current system, the accuracy of the subsequent pushing rate adjustment according to the success rate index is improved, the dynamic pushing rate adjustment is realized, and the data pushing efficiency is improved. Therefore, the method, the device, the electronic equipment and the computer readable storage medium for dynamically adjusting the data transmission rate can solve the problem of low data pushing efficiency.
Drawings
Fig. 1 is a flow chart illustrating a method for dynamically adjusting a data transmission rate according to an embodiment of the present invention;
FIG. 2 is a flow chart of writing data to be sent into a data buffer queue according to an embodiment of the present invention;
FIG. 3 is a functional block diagram of a dynamic data rate adjustment device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device for implementing the dynamic adjustment method of data transmission rate according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the application provides a dynamic adjustment method for data transmission rate. The execution body of the data transmission rate dynamic adjustment method includes, but is not limited to, at least one of a server, a terminal, and the like, which can be configured to execute the method provided by the embodiment of the application. In other words, the data transmission rate dynamic adjustment method may be performed by software or hardware installed in a terminal device or a server device, and the software may be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Referring to fig. 1, a flow chart of a method for dynamically adjusting a data transmission rate according to an embodiment of the invention is shown. In this embodiment, the method for dynamically adjusting the data transmission rate includes:
s1, acquiring system interface parameters of a plurality of server systems, and generating unique identifiers of each server system according to the system interface parameters.
In the embodiment of the invention, the server system is a system with a data sending function. Such as a messenger cloud data transmission system, a union cloud data transmission system, etc.
In detail, the acquiring system interface parameters of the plurality of server systems includes:
determining the system environment of each server system, and selecting a compiler corresponding to the system environment; the method comprises the steps of carrying out a first treatment on the surface of the
Generating a system file call statement by using the compiler;
executing the system file call statement to acquire a system file of each system;
and analyzing the system file to obtain the system interface parameters of each system.
Specifically, the system environment of each server system is determined by an executable language lock of the server system, for example, if the server system can operate java language, the system environment is java.
And selecting corresponding compilers according to the system environment, wherein the compilers comprise a Clang compiler, a Microsoft Visual C ++ compiler and the like, and the usability of the generated system file call statement can be ensured.
In the embodiment of the invention, the system file is a file used for recording system interface parameters in different service side systems, and the system interface parameters include, but are not limited to, interface names, interface types, interface data transmission rates and the like.
In detail, the parsing the system file to obtain system interface parameters of each system includes:
performing field division on the system file to obtain a plurality of file fields;
extracting a field type of each file field in the plurality of file fields;
selecting a file field of a preset type as an interface parameter field;
and analyzing the interface parameter field to obtain system interface parameters.
Specifically, the field dividing the system file to obtain a plurality of file fields includes:
traversing the system file and determining the position of field separators in the system file;
and carrying out field division on the system file according to the position of the field separator to obtain a plurality of file fields.
In the embodiment of the invention, the field type of each file field in the plurality of file fields can be extracted by using a java sentence with a type extraction function, wherein the field type comprises a parameter type, an annotation type and the like.
For example, the system file contains "qwe < rt < yuio < pl", where < is a field separator, and the system file is field-divided into: four file fields of "qwe", "rt", "yuio" and "pl", and a plurality of file fields are numbered in the division order: 1"qwe", 2"rt", 3"yuio", and 4"pl", e.g., preset sequence number 2, field "rt" is determined to be the target data field.
Further, the embodiment of the invention utilizes a preset parser to parse the system interface parameter field to obtain the system interface parameter, wherein the parser comprises, but is not limited to, a DOM parser and an HTML parser.
In the embodiment of the invention, a single server system may also contain a plurality of system interface parameters, and the embodiment of the invention generates the unique identifier of each server system according to the system interface parameters of the server system.
In detail, the generating the unique identifier of each server system according to the system interface parameters includes:
vectorizing the system interface parameters to obtain parameter vectors;
and splicing the parameter vectors to obtain a unique identifier.
Specifically, the vectorizing the system interface parameters to obtain parameter vectors includes:
performing byte encoding on each byte in the system interface parameters to obtain a byte vector set;
and splicing byte vectors in the byte vector set to obtain the parameter vector of the parameter to be converted.
In the embodiment of the present invention, each byte in the system interface parameter may be byte-encoded by a preset encoder, where the encoder includes an ASCII encoder, a URI encoder, and the like.
Specifically, the embodiment of the invention splices the obtained parameter vectors in an end-to-end connection mode to obtain the unique identifier, and the unique identifier can be used for uniquely marking the server system.
S2, establishing a data cache queue of each server system by utilizing the unique identification.
In the embodiment of the present invention, the establishing a data cache queue of each server system by using the unique identifier includes:
Creating blank data queues with preset lengths which are the same as the number of the plurality of server systems, and marking the blank data queues by utilizing the unique identification;
determining a cache data type;
and performing queue variable assignment on the blank data queues according to the cache data types to obtain the data cache queues of each server system.
In detail, the embodiment of the invention creates a data buffer queue for each server system.
Specifically, a "topic" instruction in kafka may be utilized to create a blank data queue that may be used for orderly written data.
In the embodiment of the present invention, the cache data types include, but are not limited to, data of types such as String, hash, map, set and sortset, where the cache data types are determined by data types included in a log of the distributed system, for example, data to be sent includes String type data, and the cache data types are String type data. Wherein, a plurality of cache data types can be determined simultaneously, i.e. the cache data types can be a plurality of different types of data simultaneously.
Further, the embodiment of the invention obtains a pre-stored queue variable value table, and performs queue variable assignment on the blank data queue by using the queue variable value table to obtain a first cache queue and a second cache queue. The variable value table of the queue can be preset by a user, and the variable value table comprises queue variables corresponding to a plurality of different cache data types. Wherein the queue variables include, but are not limited to, primary keys, primary key value types, and the like.
S3, acquiring data to be transmitted, and writing the data to be transmitted into the data cache queue at a preset writing rate.
In the embodiment of the invention, the data to be sent can be edited in advance by a user and stored in the blockchain node, such as the notification data of active pushing, the notification data of identity verification and the like, and the rate of acquiring the data to be sent can be improved by utilizing the high throughput of the blockchain to the data.
In detail, referring to fig. 2, the writing the data to be sent into the data cache queue at a preset writing rate includes:
s21, carrying out data stream conversion on the data to be sent to obtain a data stream;
s22, writing the data stream into the data cache queue according to a preset writing rate.
Specifically, the embodiment of the invention can convert the data to be sent into the data stream through the IO converter, so as to obtain the data stream, and convert the data to be sent into the data stream, thereby being beneficial to improving the efficiency of writing the data to be sent into the data cache queue.
And S4, pushing the data to be sent in the data cache queue to the corresponding server system for data sending, and monitoring the immediate success rate of data sending in each server system in real time.
In the embodiment of the present invention, the pushing the data to be sent in the data buffer queue to the corresponding server system for data sending includes:
transmitting a data transmission request to the server system corresponding to the unique identifier in the data cache queue to obtain a data transmission state;
and when the data transmission state is acceptable data transmission, pushing the data to be pushed in the data cache queue to the server system for data transmission.
When the server system receives the data transmission request, a Boolean value is automatically returned to represent the current data transmission state, wherein the Boolean value is 0 or 1,0 represents that the current data transmission state is in an unavailable state, and 1 represents that the current data transmission state is in an acceptable state.
Further, the embodiment of the invention monitors the sending state of each piece of data sent in the server system through a monitor pre-installed in the server system, wherein the sending state comprises sending success and sending failure.
The embodiment of the invention calculates the immediate success rate of data transmission in each server system through the following proportion algorithm:
f＝y i /n
wherein f is the immediate success rate, y is the number of data successfully transmitted in the ith server system in a preset unit time, and n is the total number of data transmitted in the ith server system in the preset unit time.
S5, acquiring historical success rate information of each server system, and calculating a success rate index of each server system according to the historical success rate information and the immediate success rate.
In the embodiment of the present invention, the historical success rate information includes the success rate of each server system at a plurality of historical moments, that is, the success rate of data transmission at the same moment as the current server system in the previous day or days in the server system, for example, the immediate success rate at the moment when the current server system time is monitored to be 1 month 31 day 3 in step S4 is 80, and the historical success rate information includes the success rate at 1 month 30 day 3, the success rate at 1 month 29 day 3, and the success rate … … at 1 month 28 day 3
In detail, the calculating the success rate index of each server system according to the historical success rate information and the immediate success rate includes:
analyzing the success rate trend value of each server system according to the historical success rate information;
and calculating the success rate index of each server system according to the success rate trend value and the immediate success rate.
Specifically, the success rate trend value of each server system is analyzed according to the historical success rate information, namely the success rate of each server system at different times is analyzed according to the historical success rate information.
In the embodiment of the present invention, the analyzing the success rate trend value of each server system according to the historical success rate information includes:
calculating the success rate trend value by using the following trend analysis algorithm:
wherein Q is the success rate trend value, M is the information quantity contained in the history success rate information, and C m And the historical success rate information is the m th historical success rate information.
For example, if the historical success rate information includes 80 for 1 month, 30 days, 3 days, 1 month, 29 days, 3 days, 70 for 1 month, 28 days, 3 days, 80 for 1 month, 27 days, 3 days, 90, the success rate trend value of 80 can be obtained by the above trend analysis algorithm.
Further, the embodiment of the invention calculates the success rate index of each server system according to the historical success rate information and the immediate success rate, namely, adds the success rate trend value and the immediate success rate index to obtain the success rate index of the server system.
According to the embodiment of the invention, the success rate index of each server system is calculated according to the historical success rate information and the instant success rate, so that the success rate index of the server system can be judged by combining the historical trend with the current system success rate, the accuracy of the subsequent push rate adjustment according to the success rate index can be improved, and the greater utilization of resources can be realized.
And S6, adjusting the writing rate in the data cache queue corresponding to each server system according to the success rate index.
In the embodiment of the invention, whether the success rate index is larger than the preset success rate threshold value or not can be judged, if the success rate index is larger than the preset success rate threshold value, the push rate in the data cache queue corresponding to the server system with the success rate index larger than the preset success rate threshold value is increased, and if the success rate index is smaller than or equal to the preset success rate threshold value, the push rate in the data cache queue corresponding to the server system with the success rate index smaller than or equal to the preset success rate index threshold value is reduced.
In detail, the success rate index of data transmission in each server system is compared with a preset success rate threshold value, so that whether the success rate index of data transmission in each server system is larger than the success rate threshold value is known.
In the embodiment of the invention, if the success rate index of data transmission in the server system is larger than the success rate threshold, the push rate of the data buffer queue corresponding to the server system is increased, so that the resources of the server system are more fully utilized, and the overall efficiency of data push is improved.
In the embodiment of the invention, if the success rate index of data transmission in the server system is smaller than or equal to the success rate threshold, the server system is indicated to have a fault, so that data push cannot be performed in time, and therefore, the push rate of the data buffer queue corresponding to the server system is reduced.
According to the embodiment of the invention, the data pushing rates of a plurality of server systems with the data pushing function are detected simultaneously, and the success rate index of each server system is calculated according to the historical success rate information and the immediate success rate, so that the success rate index of the server system can be judged by combining the historical trend with the current system success rate, the pushing rate is prevented from being adjusted according to the success rate of the current system, the accuracy of the subsequent pushing rate adjustment according to the success rate index is improved, the dynamic pushing rate adjustment is realized, and the data pushing efficiency is improved. Therefore, the data transmission rate dynamic adjustment method provided by the invention can solve the problem of low data pushing efficiency.
Fig. 3 is a functional block diagram of a dynamic data transmission rate adjustment device according to an embodiment of the present invention.
The dynamic data transmission rate adjusting device 100 of the present invention may be installed in an electronic apparatus. Depending on the implemented functions, the data transmission rate dynamic adjustment device 100 may include an identifier generation module 101, a queue construction module 102, a data buffer module 103, a data push module 104, an index calculation module 105, and a dynamic rate adjustment module 106. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
the identifier generating module 101 is configured to obtain system interface parameters of a plurality of server systems, and generate a unique identifier of each server system according to the system interface parameters.
In the embodiment of the invention, the server system is a system with a data sending function. Such as a messenger cloud data transmission system, a union cloud data transmission system, etc.
In detail, the identifier generation module 101 is specifically configured to:
determining the system environment of each server system, and selecting a compiler corresponding to the system environment; the method comprises the steps of carrying out a first treatment on the surface of the
Generating a system file call statement by using the compiler;
executing the system file call statement to acquire a system file of each system;
analyzing the system file to obtain system interface parameters of each system;
and generating a unique identifier of each server system according to the system interface parameters.
Specifically, the system environment of each server system is determined by an executable language lock of the server system, for example, if the server system can operate java language, the system environment is java.
And selecting corresponding compilers according to the system environment, wherein the compilers comprise a Clang compiler, a Microsoft Visual C ++ compiler and the like, and the usability of the generated system file call statement can be ensured.
In the embodiment of the invention, the system file is a file used for recording system interface parameters in different service side systems, and the system interface parameters include, but are not limited to, interface names, interface types, interface data transmission rates and the like.
In detail, the parsing the system file to obtain system interface parameters of each system includes:
performing field division on the system file to obtain a plurality of file fields;
extracting a field type of each file field in the plurality of file fields;
Selecting a file field of a preset type as an interface parameter field;
and analyzing the interface parameter field to obtain system interface parameters.
Specifically, the field dividing the system file to obtain a plurality of file fields includes:
traversing the system file and determining the position of field separators in the system file;
and carrying out field division on the system file according to the position of the field separator to obtain a plurality of file fields.
In the embodiment of the invention, the field type of each file field in the plurality of file fields can be extracted by using a java sentence with a type extraction function, wherein the field type comprises a parameter type, an annotation type and the like.
For example, the system file contains "qwe < rt < yuio < pl", where < is a field separator, and the system file is field-divided into: four file fields of "qwe", "rt", "yuio" and "pl", and a plurality of file fields are numbered in the division order: 1"qwe", 2"rt", 3"yuio", and 4"pl", e.g., preset sequence number 2, field "rt" is determined to be the target data field.
Further, the embodiment of the invention utilizes a preset parser to parse the system interface parameter field to obtain the system interface parameter, wherein the parser comprises, but is not limited to, a DOM parser and an HTML parser.
In the embodiment of the invention, a single server system may also contain a plurality of system interface parameters, and the embodiment of the invention generates the unique identifier of each server system according to the system interface parameters of the server system.
In detail, the generating the unique identifier of each server system according to the system interface parameters includes:
vectorizing the system interface parameters to obtain parameter vectors;
and splicing the parameter vectors to obtain a unique identifier.
Specifically, the vectorizing the system interface parameters to obtain parameter vectors includes:
performing byte encoding on each byte in the system interface parameters to obtain a byte vector set;
and splicing byte vectors in the byte vector set to obtain the parameter vector of the parameter to be converted.
In the embodiment of the present invention, each byte in the system interface parameter may be byte-encoded by a preset encoder, where the encoder includes an ASCII encoder, a URI encoder, and the like.
Specifically, the embodiment of the invention splices the obtained parameter vectors in an end-to-end connection mode to obtain the unique identifier, and the unique identifier can be used for uniquely marking the server system.
The queue construction module 102 is configured to establish a data cache queue of each server system using the unique identifier.
In the embodiment of the present invention, the queue construction module 102 is specifically configured to:
creating blank data queues with preset lengths which are the same as the number of the plurality of server systems, and marking the blank data queues by utilizing the unique identification;
determining a cache data type;
and performing queue variable assignment on the blank data queues according to the cache data types to obtain the data cache queues of each server system.
In detail, the embodiment of the invention creates a data buffer queue for each server system.
Specifically, a "topic" instruction in kafka may be utilized to create a blank data queue that may be used for orderly written data.
In the embodiment of the present invention, the cache data types include, but are not limited to, data of types such as String, hash, map, set and sortset, where the cache data types are determined by data types included in a log of the distributed system, for example, data to be sent includes String type data, and the cache data types are String type data. Wherein, a plurality of cache data types can be determined simultaneously, i.e. the cache data types can be a plurality of different types of data simultaneously.
Further, the embodiment of the invention obtains a pre-stored queue variable value table, and performs queue variable assignment on the blank data queue by using the queue variable value table to obtain a first cache queue and a second cache queue. The variable value table of the queue can be preset by a user, and the variable value table comprises queue variables corresponding to a plurality of different cache data types. Wherein the queue variables include, but are not limited to, primary keys, primary key value types, and the like.
The data buffer module 103 is configured to obtain data to be sent, and write the data to be sent into the data buffer queue at a preset writing rate.
In the embodiment of the invention, the data to be sent can be edited in advance by a user and stored in the blockchain node, such as the notification data of active pushing, the notification data of identity verification and the like, and the rate of acquiring the data to be sent can be improved by utilizing the high throughput of the blockchain to the data.
In detail, the data buffering module 103 is specifically configured to:
carrying out data stream conversion on the data to be sent to obtain a data stream;
and writing the data stream into the data cache queue according to a preset writing rate.
Specifically, the embodiment of the invention can convert the data to be sent into the data stream through the IO converter, so as to obtain the data stream, and convert the data to be sent into the data stream, thereby being beneficial to improving the efficiency of writing the data to be sent into the data cache queue.
The data pushing module 104 is configured to push the data to be sent in the data buffer queue to the corresponding server system for data sending, and monitor the immediate success rate of data sending in each server system in real time.
In the embodiment of the present invention, the data pushing module 104 is specifically configured to:
transmitting a data transmission request to the server system corresponding to the unique identifier in the data cache queue to obtain a data transmission state;
and when the data transmission state is acceptable data transmission, pushing the data to be pushed in the data cache queue to the server system for data transmission.
When the server system receives the data transmission request, a Boolean value is automatically returned to represent the current data transmission state, wherein the Boolean value is 0 or 1,0 represents that the current data transmission state is in an unavailable state, and 1 represents that the current data transmission state is in an acceptable state.
Further, the embodiment of the invention monitors the sending state of each piece of data sent in the server system through a monitor pre-installed in the server system, wherein the sending state comprises sending success and sending failure.
The embodiment of the invention calculates the immediate success rate of data transmission in each server system through the following proportion algorithm:
f＝y i /n
wherein f is the immediate success rate, y is the number of data successfully transmitted in the ith server system in a preset unit time, and n is the total number of data transmitted in the ith server system in the preset unit time.
The index calculating module 105 is configured to obtain historical success rate information of each server system, and calculate a success rate index of each server system according to the historical success rate information and the immediate success rate.
In the embodiment of the present invention, the historical success rate information includes the success rate of each server system at a plurality of historical moments, that is, the success rate of data transmission at the same moment as the current server system in the previous day or days in the server system, for example, the data pushing module 104 monitors that the current server system time is 1 month, 31 days and 3 points in real time, and the immediate success rate at this time is 80, and the historical success rate information includes the success rate at 1 month, 30 days and 3 points, the success rate at 1 month, 29 days and 3 points, and the success rate at 1 month, 28 days and 3 points … …
In detail, the index calculation module 105 is specifically configured to:
analyzing the success rate trend value of each server system according to the historical success rate information;
and calculating the success rate index of each server system according to the success rate trend value and the immediate success rate.
Specifically, the success rate trend value of each server system is analyzed according to the historical success rate information, namely the success rate of each server system at different times is analyzed according to the historical success rate information.
In the embodiment of the present invention, the analyzing the success rate trend value of each server system according to the historical success rate information includes:
calculating the success rate trend value by using the following trend analysis algorithm:
wherein Q is the success rate trend value, M is the information quantity contained in the history success rate information, and C m And the historical success rate information is the m th historical success rate information.
For example, if the historical success rate information includes 80 for 1 month, 30 days, 3 days, 1 month, 29 days, 3 days, 70 for 1 month, 28 days, 3 days, 80 for 1 month, 27 days, 3 days, 90, the success rate trend value of 80 can be obtained by the above trend analysis algorithm.
Further, the embodiment of the invention calculates the success rate index of each server system according to the historical success rate information and the immediate success rate, namely, adds the success rate trend value and the immediate success rate index to obtain the success rate index of the server system.
According to the embodiment of the invention, the success rate index of each server system is calculated according to the historical success rate information and the instant success rate, so that the success rate index of the server system can be judged by combining the historical trend with the current system success rate, the accuracy of the subsequent push rate adjustment according to the success rate index can be improved, and the greater utilization of resources can be realized.
The dynamic rate adjustment module 106 is configured to adjust the writing rate in the data buffer queue corresponding to each server system according to the success rate index.
In the embodiment of the invention, whether the success rate index is larger than the preset success rate threshold value or not can be judged, if the success rate index is larger than the preset success rate threshold value, the push rate in the data cache queue corresponding to the server system with the success rate index larger than the preset success rate threshold value is increased, and if the success rate index is smaller than or equal to the preset success rate threshold value, the push rate in the data cache queue corresponding to the server system with the success rate index smaller than or equal to the preset success rate index threshold value is reduced.
In detail, the success rate index of data transmission in each server system is compared with a preset success rate threshold value, so that whether the success rate index of data transmission in each server system is larger than the success rate threshold value is known.
In the embodiment of the invention, if the success rate index of data transmission in the server system is larger than the success rate threshold, the push rate of the data buffer queue corresponding to the server system is increased, so that the resources of the server system are more fully utilized, and the overall efficiency of data push is improved.
In the embodiment of the invention, if the success rate index of data transmission in the server system is smaller than or equal to the success rate threshold, the server system is indicated to have a fault, so that data push cannot be performed in time, and therefore, the push rate of the data buffer queue corresponding to the server system is reduced.
According to the embodiment of the invention, the data pushing rates of a plurality of server systems with the data pushing function are detected simultaneously, and the success rate index of each server system is calculated according to the historical success rate information and the immediate success rate, so that the success rate index of the server system can be judged by combining the historical trend with the current system success rate, the pushing rate is prevented from being adjusted according to the success rate of the current system, the accuracy of the subsequent pushing rate adjustment according to the success rate index is improved, the dynamic pushing rate adjustment is realized, and the data pushing efficiency is improved. Therefore, the dynamic data transmission rate adjusting device provided by the invention can solve the problem of low data pushing efficiency.
Fig. 4 is a schematic structural diagram of an electronic device for implementing a method for dynamically adjusting a data transmission rate according to an embodiment of the present invention.
The electronic device 1 may comprise a processor 10, a memory 11 and a bus, and may further comprise a computer program, such as a data transmission rate dynamic adjustment program 12, stored in the memory 11 and executable on the processor 10.
The memory 11 includes at least one type of readable storage medium, including flash memory, a mobile hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may in other embodiments also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only for storing application software installed in the electronic device 1 and various types of data, such as codes of the data transmission rate dynamic adjustment program 12, but also for temporarily storing data that has been output or is to be output.
The processor 10 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, executes or executes programs or modules (e.g., a data transmission rate dynamic adjustment program, etc.) stored in the memory 11, and invokes data stored in the memory 11 to perform various functions of the electronic device 1 and process data.
The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
Fig. 4 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 4 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.
For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to each component, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.
Further, the electronic device 1 may also comprise a network interface, optionally the network interface may comprise a wired interface and/or a wireless interface (e.g. WI-FI interface, bluetooth interface, etc.), typically used for establishing a communication connection between the electronic device 1 and other electronic devices.
The electronic device 1 may optionally further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device 1 and for displaying a visual user interface.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The data transmission rate dynamic adjustment program 12 stored in the memory 11 of the electronic device 1 is a combination of instructions that, when executed in the processor 10, can implement:
acquiring system interface parameters of a plurality of server systems, and generating unique identifiers of each server system according to the system interface parameters;
establishing a data cache queue of each server system by utilizing the unique identification;
Acquiring data to be transmitted, and writing the data to be transmitted into the data cache queue at a preset writing rate;
pushing the data to be sent in the data cache queue to a corresponding server system for data sending, and monitoring the immediate success rate of data sending in each server system in real time;
acquiring historical success rate information of each server system, and calculating a success rate index of each server system according to the historical success rate information and the immediate success rate;
and adjusting the writing rate in the data cache queue corresponding to each server system according to the success rate index.
Specifically, the specific implementation method of the above instructions by the processor 10 may refer to the description of the relevant steps in the corresponding embodiment of fig. 1, which is not repeated herein.
Further, the modules/units integrated in the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
acquiring system interface parameters of a plurality of server systems, and generating unique identifiers of each server system according to the system interface parameters;
establishing a data cache queue of each server system by utilizing the unique identification;
acquiring data to be transmitted, and writing the data to be transmitted into the data cache queue at a preset writing rate;
pushing the data to be sent in the data cache queue to a corresponding server system for data sending, and monitoring the immediate success rate of data sending in each server system in real time;
acquiring historical success rate information of each server system, and calculating a success rate index of each server system according to the historical success rate information and the immediate success rate;
and adjusting the writing rate in the data cache queue corresponding to each server system according to the success rate index.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The Blockchain (Blockchain), which is essentially a decentralised database, is a string of data blocks that are generated by cryptographic means in association, each data block containing a batch of information of network transactions for verifying the validity of the information (anti-counterfeiting) and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the system claims can also be implemented by means of software or hardware by means of one unit or means. The terms second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (8)
1. A method for dynamically adjusting a data transmission rate, the method comprising:
acquiring system interface parameters of a plurality of server systems, and generating unique identifiers of each server system according to the system interface parameters;
establishing a data cache queue of each server system by utilizing the unique identification;
obtaining data to be transmitted, carrying out data stream conversion on the data to be transmitted to obtain a data stream, and writing the data stream into the data cache queue according to a preset writing rate;
pushing the data to be sent in the data cache queue to a corresponding server system for data sending, and monitoring the immediate success rate of data sending in each server system in real time;
acquiring historical success rate information of each server system, wherein the historical success rate information comprises the success rate of each server system at a plurality of historical moments, analyzing the success rate trend value of each server system according to the historical success rate information, and calculating the success rate index of each server system according to the success rate trend value and the immediate success rate;
adjusting the writing rate in the data cache queue corresponding to each server system according to the success rate index;
The analyzing the success rate trend value of each server system according to the historical success rate information includes:
calculating the success rate trend value by using the following trend analysis algorithm:
wherein Q is the success rate trend value, M is the information quantity contained in the history success rate information, and C m And the historical success rate information is the m th historical success rate information.
2. The method for dynamically adjusting data transmission rate according to claim 1, wherein the acquiring system interface parameters of the plurality of server systems comprises:
determining the system environment of each server system, and selecting a compiler corresponding to the system environment;
generating a system file call statement by using the compiler;
executing the system file call statement to acquire a system file of each system;
and analyzing the system file to obtain the system interface parameters of each system.
3. The method for dynamically adjusting data transmission rate according to claim 2, wherein said parsing the system file to obtain system interface parameters of each system comprises:
performing field division on the system file to obtain a plurality of file fields;
extracting a field type of each file field in the plurality of file fields;
Selecting a file field of a preset type as an interface parameter field;
and analyzing the interface parameter field to obtain system interface parameters.
4. The method for dynamically adjusting data transmission rate according to claim 1, wherein said establishing a data buffer queue for each server system using said unique identification comprises:
creating blank data queues with preset lengths which are the same as the number of the plurality of server systems, and marking the blank data queues by utilizing the unique identification;
determining a cache data type;
and performing queue variable assignment on the blank data queues according to the cache data types to obtain the data cache queues of each server system.
5. The method for dynamically adjusting a data transmission rate according to any one of claims 1 to 4, wherein the adjusting the write rate in the data buffer queue corresponding to each server system according to the success rate index includes:
judging whether the success rate index is larger than a preset success rate threshold value or not;
if the success rate index is larger than a preset success rate threshold, increasing the push rate in a data cache queue corresponding to a server system with the success rate index larger than the preset success rate threshold;
And if the success rate index is smaller than or equal to a preset success rate threshold, reducing the push rate in the data cache queue corresponding to the server system with the success rate index smaller than or equal to the preset success rate index threshold.
6. A data transmission rate dynamic adjustment device, the device comprising:
the system comprises an identifier generation module, a service side identification module and a service side identification module, wherein the identifier generation module is used for acquiring system interface parameters of a plurality of service side systems and generating unique identifiers of each service side system according to the system interface parameters;
the queue construction module is used for establishing a data cache queue of each server system by utilizing the unique identifier;
the data caching module is used for acquiring data to be sent, carrying out data stream conversion on the data to be sent to acquire a data stream, and writing the data stream into the data caching queue according to a preset writing rate;
the data pushing module is used for pushing the data to be sent in the data cache queue to the corresponding server system for data sending, and monitoring the immediate success rate of data sending in each server system in real time;
the index calculation module is used for acquiring the historical success rate information of each server system, wherein the historical success rate information comprises the success rate of each server system at a plurality of historical moments, analyzing the success rate trend value of each server system according to the historical success rate information, and calculating the success rate index of each server system according to the success rate trend value and the immediate success rate;
The dynamic rate adjustment module is used for adjusting the writing rate in the data cache queue corresponding to each server system according to the success rate index;
the analyzing the success rate trend value of each server system according to the historical success rate information includes:
calculating the success rate trend value by using the following trend analysis algorithm:
wherein Q is the success rate trend value, M is the information quantity contained in the history success rate information, and C m And the historical success rate information is the m th historical success rate information.
7. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the data transmission rate dynamic adjustment method according to any one of claims 1 to 5.
8. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the data transmission rate dynamic adjustment method according to any one of claims 1 to 5.
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