Gandomi et al., 2020 - Google Patents
Designing a MapReduce performance model in distributed heterogeneous platforms based on benchmarking approachGandomi et al., 2020
View PDF- Document ID
- 4896516558630651665
- Author
- Gandomi A
- Movaghar A
- Reshadi M
- Khademzadeh A
- Publication year
- Publication venue
- The Journal of Supercomputing
External Links
Snippet
MapReduce framework is an effective method for big data parallel processing. Enhancing the performance of MapReduce clusters, along with reducing their job execution time, is a fundamental challenge to this approach. In fact, one is faced with two challenges here: how …
- 238000002474 experimental method 0 abstract description 20
Classifications
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- G06F9/48—Programme initiating; Programme switching, e.g. by interrupt
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- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
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- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
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- G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
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- G06F11/3442—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment for planning or managing the needed capacity
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