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WO2018130163A1 - Procédé et dispositif de planification pour plate-forme informatique de nuage mobile - Google Patents

Procédé et dispositif de planification pour plate-forme informatique de nuage mobile Download PDF

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Publication number
WO2018130163A1
WO2018130163A1 PCT/CN2018/072166 CN2018072166W WO2018130163A1 WO 2018130163 A1 WO2018130163 A1 WO 2018130163A1 CN 2018072166 W CN2018072166 W CN 2018072166W WO 2018130163 A1 WO2018130163 A1 WO 2018130163A1
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cloud
cloud system
mobile
cloud computing
system program
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Chinese (zh)
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杨立群
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/104—Peer-to-peer [P2P] networks
    • H04L67/1074—Peer-to-peer [P2P] networks for supporting data block transmission mechanisms

Definitions

  • the invention belongs to the field of cloud computing and mobile communication, and in particular relates to a scheduling method and device of a mobile cloud computing platform.
  • Intelligent mobile terminals such as smart phones, tablets, and portable computers, have become the network terminal devices that people can't keep in every day.
  • the smart phone terminal product has a short update cycle, and consumers tend to replace the new version of the mobile terminal product on average every year.
  • these updated products usually stack performance parameters such as CPU computing power, memory size, and storage capacity, while other hardware (such as display screens and network adapters) are less updated. Too frequent replacement of electronic products puts economic pressure on consumers and is not conducive to energy conservation and environmental protection.
  • their smart terminals often have excess performance and waste.
  • Mobile cloud computing is a new mode of delivery and use of IT resources or information services. It is the product of introducing cloud computing into the mobile Internet.
  • the present invention solves the above problems by providing a scheduling method and apparatus for a mobile cloud computing platform.
  • the mobile cloud computing platform integrates the cloud terminal resource to provide an operating environment for the plurality of cloud systems, and each group of the cloud system internally runs a plurality of cloud system programs in sequence, and the cloud system program is distributed to the corresponding mobile terminal through the network to provide Cloud computing services.
  • the solution of the present invention is a scheduling method of a mobile cloud computing platform, which includes the following steps: monitoring the resource occupancy of each cloud system program during running a group of cloud systems; if the current total resource occupancy is higher than When the preset upper threshold is preset, the execution order of the group of cloud system programs is dynamically changed according to the resource request amount occupied by each of the plurality of cloud system programs, so that the execution of the cloud system program with a small resource occupancy is prioritized
  • the execution priority of the cloud system program that is higher than the resource usage is large; the cloud system program with a large resource occupancy is executed during the idle period of the execution interval of the multiple cloud system programs with less resource occupation; if the current resource When the total occupancy is lower than the preset lower threshold, the original execution order of the cloud system program is restored or maintained.
  • the resource occupancy includes occupying a length of a central processing unit time slice, occupying a usage of the random access memory, occupying a usage of the data storage, or occupying a usage of the network resource.
  • the upper threshold value and/or the lower limit threshold value can be adjusted in real time according to the amount of cloud terminal resources currently fused by the mobile cloud computing platform.
  • the scheduling method of the mobile cloud computing platform further includes: recovering resources of the cloud system program that the mobile terminal logs out, and allocating to the remaining running cloud systems in the cloud system group where the log-out cloud system program is located. program.
  • the scheduling method of the mobile cloud computing platform further includes preferentially allocating resources of the logged out cloud system program to a cloud system program with a larger resource occupancy.
  • the scheduling method of the mobile cloud computing platform further includes allocating a part of the cloud terminal resources fused by the mobile cloud computing platform to one or more accessed mobile terminals.
  • a scheduling apparatus for a mobile cloud computing platform including: a monitoring module, configured to monitor a resource occupancy of each of the cloud system programs during running of a group of cloud systems; and execute a priority scheduling module, When determining whether the current total resource occupation amount is higher than a preset upper threshold, dynamically changing the execution order of the group cloud system program according to the resource request amount occupied by each of the plurality of cloud system programs, so that The execution priority of the cloud system program with a smaller resource usage is higher than the execution priority of the cloud system program with a large resource occupancy; the idle work scheduling module performs the execution interval of multiple cloud system programs with a small resource occupancy.
  • the idle system performs a cloud system program with a large amount of resources; and the priority recovery module is configured to restore or maintain the original execution order of the cloud system program when the current total resource occupancy is lower than a preset lower threshold.
  • the scheduling device of the mobile cloud computing platform can include a storage and a processor, wherein the processor executes program commands stored in the memory to perform the scheduling method of the cloud computing platform described above.
  • the invention has the beneficial effects of providing a scheduling mechanism of the mobile cloud computing platform, optimizing and rationally allocating resources, and providing a stable system running environment for the mobile cloud computing terminal to call.
  • FIG. 1 is a schematic diagram showing the operation mode of a mobile cloud computing platform according to the present invention.
  • FIG. 2 is a schematic diagram showing a scheduling process of a mobile cloud computing platform according to the present invention.
  • FIG. 3 is a flow chart showing a scheduling process of a mobile cloud computing platform in accordance with the present invention.
  • FIG. 1 is an application platform of the present invention and a working mode thereof, wherein the cloud computing terminal and the cloud computing server are networked through a communication device, and the networking manner adopted may be a wired connection, a wireless connection, or any combination thereof.
  • the cloud computing terminal, the cloud computing server, and the communication device may each be plural in number.
  • Cloud computing terminals can operate in both basic and cloud computing modes. Maintain basic communication functions such as calls, text messages, etc. in the basic mode. In cloud mode, you can access the cloud computing server through a high-speed network, and load rich system resources, such as logging in to use a variety of customized entertainment systems and office systems.
  • the cloud computing terminal can be embodied as a smart phone, a tablet computer, a portable game machine, or the like having a network communication function.
  • the cloud computing terminal and the cloud computing server may be connected by using a mobile communication connection (for example, 2G, 3G, 4G, or 5G communication mode), a wide area network, or an Ethernet network.
  • Communication devices include network adapters, network switches, routers, modems, fiber/twin-pair lines, wireless APs, antennas, mobile communication base stations, and the like.
  • the cloud computing server may include a cloud cluster architecture, a convergence scheduling module, and a transmission management module, wherein the fusion scheduling module includes a processor, a memory, and an external scheduler, and the transmission management module includes a network manager and a high speed network interface.
  • the cloud cluster architecture integrates the cloud terminal resources to provide a running environment for the multiple groups of cloud systems, and each group of cloud systems internally runs multiple cloud system programs in sequence, and the cloud system programs process the communication of the corresponding cloud computing terminals through the network manager to provide Cloud computing services.
  • the processor may cause the external scheduler to schedule resources from various cloud computing devices in the cloud cluster network or from the cloud computing terminal according to the current running condition of the cloud computing server.
  • the processor may analyze the idle NAS resource connected to the cloud computing server in the cloud cluster network, and the available storage content of the NAS is addressed to the memory through the scheduler.
  • the cloud computing server is used internally or for use by one or more cloud computing terminals.
  • the processor may analyze the idle memory resource of the cloud computing terminal connected to the cloud computing server, and integrate the available idle memory resources of the cloud computing terminal by using an external scheduler. In the memory pool in the cloud computing server.
  • the cloud computing platform may have a resource allocation module for adjusting the allocation amount of the software and hardware resources according to the request amount and the request priority of the cloud computing service layer and the transmission management unit, and according to the network throughput of the communication transmission unit.
  • the resource allocation module includes: a memory fusion unit, configured to fuse memory resources of other cloud computing devices by using a cloud computing server; and a storage fusion unit, configured to integrate storage resources of other cloud computing devices by using a cloud computing server.
  • the cloud computing platform further includes an internal scheduler, which performs the following steps: monitoring the resource occupancy of each of the cloud system programs during running of the cloud system; if the current total resource occupancy is higher than a preset upper threshold, Dynamically changing the execution order of the group of cloud system programs according to the resource request amount occupied by each of the plurality of cloud system programs, so that the execution priority of the cloud system program with less resource occupancy is higher than the resource occupancy ratio Execution priority of a large cloud system program; executing a cloud system program with a large resource occupancy during an idle period of an execution interval of a plurality of cloud system programs having a small resource occupancy; if the current total resource occupancy is lower than a preset When the lower threshold is reached, the original execution order of the cloud system program is restored or maintained.
  • an internal scheduler which performs the following steps: monitoring the resource occupancy of each of the cloud system programs during running of the cloud system; if the current total resource occupancy is higher than a preset upper threshold, Dynamically changing the execution order of the group of cloud system programs according
  • FIG. 3 is a flow chart of a mobile cloud computing platform scheduling method in accordance with a preferred embodiment of the present invention.
  • the method specifically includes the following steps:
  • S104 Dynamically change an execution order of the group of cloud system programs according to a resource request quantity occupied by each of the multiple cloud system programs, so that a cloud system program with a smaller resource occupancy has a higher execution priority than resource usage.
  • step S107 When it is determined that the current total resource occupancy is lower than a preset lower threshold, the original execution sequence of the cloud system program is restored or maintained in step S108.
  • the plurality of cloud computing client terminals send execution request information of the cloud system program to the cloud computing server.
  • the cloud computing server will receive each cloud system program request information sent by multiple terminals.
  • the resource allocation management unit 31 After receiving the request information of the plurality of cloud system programs, the resource allocation management unit 31 writes the execution order of the plurality of cloud system programs into the resource allocation management storage area. If there is still an unexecuted cloud system program in the execution sequence of the resource allocation management storage area, the newly requested cloud system program will write to the end of the sequence, that is, the newly requested cloud system program has the lowest execution priority.
  • the execution order stored in the resource allocation management storage area includes nine cloud system programs to be executed, including an A program of the first client terminal, a B program of the second client terminal, a C program of the third client terminal, and the like. .
  • the resource allocation management unit After the first client terminal issues the execution request information of the D program to the cloud computing server, the resource allocation management unit writes the D program into the table of the execution order, and the execution order of the D program is 10, that is, the execution priority level is the lowest. Then, the resource allocation management unit determines whether the current usage rate of the cloud computing server CPU is higher than a threshold, and if it is higher than the threshold, dynamically changes the execution order of each cloud system program.
  • the resource allocation management unit determines the resource request amount requested by each cloud system program, that is, the length of the CPU time slice, and changes the execution order of each cloud system program according to the length of the occupied time slice.
  • the principle of changing the execution order is that the amount of resource requests is large, that is, the cloud system program that takes a long time slice has a low priority level, and the resource request amount is small, that is, the cloud system program occupying a short time slice has a high priority.
  • the execution order can be set to "1".
  • the B program occupation time slice of the second client terminal is 10 milliseconds, which is only longer than the time slice occupied by the A program, and the execution priority level is high, and the execution order can be set to “2”.
  • the A program of the first client terminal occupies the longest time slice, and has the lowest execution priority level, and the execution order can be set to "10".
  • the C program of the third client terminal takes a longer time slice and the execution priority is lower, and the execution order is set to "9".
  • the resource allocation management unit of the cloud computing server changes the priority level of execution of each cloud system program according to the length of the time slice.
  • the resource allocation management unit does not change the execution order of the cloud system program, that is, the execution order of the multiple cloud system programs is arranged in the chronological order of the cloud system program request.
  • the cloud system program is sequentially executed from the high priority level to the low priority level.
  • the CPU executes the cloud system program, it is a short time slice allocated to the cloud system program, in which a process or thread of the cloud system program is executed, and when the process or thread is executed, the CPU has a free time slice. A process or thread that can execute the next cloud system program.
  • the resource allocation management unit After a process or thread is executed, the resource allocation management unit needs to reorder the execution order of the resource allocation management storage area, delete the executed cloud system program from the execution sequence, and update each cloud system program.
  • the remaining length of the occupied time slice, and the execution order of each cloud system program is arranged according to the remaining length of the occupied time slice.
  • the resource allocation management unit dynamically changes the execution order of multiple cloud system programs in real time.
  • the execution sequence is updated immediately, and the next cloud system program is executed. a process or thread.
  • multiple cloud system programs are alternately executed, and the cloud system program with a small resource request has a high priority, a short execution time, and a fast response time of the client terminal.
  • the execution time of the cloud system program with a small amount of resource requests is often short, and the cloud system program processes that execute the small amount of resource requests often have more idle time slices to execute cloud system programs with large resource requests. Therefore, a cloud system program that preferentially executes a small resource request does not wait too long or cannot execute a cloud system program that causes a large amount of resource requests.
  • the CPU executes the cloud system program
  • data exchange with the RAM and the ROM is required, and data needs to be transmitted to the client terminal through the network interface. Therefore, a certain cloud system program occupies a long CPU time slice, and the RAM usage occupied by the cloud system is There are also many ROM resources and network resources.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Stored Programmes (AREA)
  • Computer And Data Communications (AREA)

Abstract

L'invention concerne un procédé de planification pour une plateforme informatique de nuage mobile, comprenant les étapes suivantes consistant à : surveiller l'occupation de ressources de programmes de système de nuage dans un groupe de systèmes de nuage lors de l'exécution du groupe de systèmes de nuage; si l'occupation de ressource totale actuelle est supérieure à un seuil supérieur prédéfini, changer dynamiquement, selon des quantités de demande de ressources occupées par tous les programmes de système de nuage, une séquence d'exécution du groupe de programmes de système de nuage, de telle sorte que des priorités d'exécution des programmes de système de nuage ayant une occupation de ressources relativement faible sont supérieures à celles des programmes de système de nuage avec une occupation de ressources relativement élevée; exécuter des programmes de système de nuage avec une occupation de ressources relativement élevée pendant des périodes de repos à des intervalles d'exécution de la pluralité de programmes de système de nuage avec une occupation de ressources relativement faible; et si l'occupation de ressource totale actuelle est inférieure à un seuil inférieur prédéfini, restaurer ou maintenir une séquence d'exécution d'origine. L'invention concerne également un dispositif de planification pour une plate-forme informatique de nuage mobile, comprenant un module de surveillance, un module de planification de priorité d'exécution, un module de planification de travail au repos et un module de restauration de priorité d'exécution.
PCT/CN2018/072166 2017-01-11 2018-01-10 Procédé et dispositif de planification pour plate-forme informatique de nuage mobile Ceased WO2018130163A1 (fr)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110933226A (zh) * 2019-11-11 2020-03-27 深圳前海氢氧科技有限公司 应用程序远程托管方法及装置
CN112053099A (zh) * 2020-10-14 2020-12-08 国网北京市电力公司 一种路灯建设资源调度方法、系统、存储介质和装置
CN113568746A (zh) * 2021-07-27 2021-10-29 北京达佳互联信息技术有限公司 负载均衡方法、装置、电子设备及存储介质
CN113645262A (zh) * 2020-05-11 2021-11-12 中兴通讯股份有限公司 云计算服务系统和方法
CN113961321A (zh) * 2021-10-09 2022-01-21 国云科技股份有限公司 跨云平台资源调度方法、装置、终端设备及存储介质

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140372715A1 (en) * 2013-06-13 2014-12-18 Microsoft Corporation Page-based compressed storage management
CN105302643A (zh) * 2015-10-14 2016-02-03 浪潮集团有限公司 一种作业调度的方法和自学习调度器
CN105893158A (zh) * 2016-06-08 2016-08-24 北京工业大学 私有云条件下的大数据混合调度模型
CN106020937A (zh) * 2016-07-07 2016-10-12 腾讯科技（深圳）有限公司 一种创建虚拟机的方法、装置及系统
CN107018175A (zh) * 2017-01-11 2017-08-04 杨立群 移动云计算平台的调度方法和装置

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101968750B (zh) * 2010-10-15 2012-12-26 珠海举天软件科技有限公司 计算机系统及其工作方法
CN103491151A (zh) * 2013-09-13 2014-01-01 中安消技术有限公司 一种云计算资源的调度方法、装置及云计算平台

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140372715A1 (en) * 2013-06-13 2014-12-18 Microsoft Corporation Page-based compressed storage management
CN105302643A (zh) * 2015-10-14 2016-02-03 浪潮集团有限公司 一种作业调度的方法和自学习调度器
CN105893158A (zh) * 2016-06-08 2016-08-24 北京工业大学 私有云条件下的大数据混合调度模型
CN106020937A (zh) * 2016-07-07 2016-10-12 腾讯科技（深圳）有限公司 一种创建虚拟机的方法、装置及系统
CN107018175A (zh) * 2017-01-11 2017-08-04 杨立群 移动云计算平台的调度方法和装置

Cited By (7)

* Cited by examiner, † Cited by third party
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CN110933226A (zh) * 2019-11-11 2020-03-27 深圳前海氢氧科技有限公司 应用程序远程托管方法及装置
CN113645262A (zh) * 2020-05-11 2021-11-12 中兴通讯股份有限公司 云计算服务系统和方法
CN112053099A (zh) * 2020-10-14 2020-12-08 国网北京市电力公司 一种路灯建设资源调度方法、系统、存储介质和装置
CN112053099B (zh) * 2020-10-14 2023-11-17 国网北京市电力公司 一种路灯建设资源调度方法、系统、存储介质和装置
CN113568746A (zh) * 2021-07-27 2021-10-29 北京达佳互联信息技术有限公司 负载均衡方法、装置、电子设备及存储介质
CN113568746B (zh) * 2021-07-27 2024-01-02 北京达佳互联信息技术有限公司 负载均衡方法、装置、电子设备及存储介质
CN113961321A (zh) * 2021-10-09 2022-01-21 国云科技股份有限公司 跨云平台资源调度方法、装置、终端设备及存储介质

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