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Retracted: Numerical Analysis of Synchronous Dislocation Scheduling Algorithm Optimization in Shared Cloud Computing Environment
This paper studies the numerical analysis of the optimization of the synchronization misalignment scheduling algorithm under the shared cloud computing environment. First, the user submitted job is initialized, and then the job is inserted into the execution queue according to the appropriate strate...
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Main Authors: | , |
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Format: | Conference Proceeding |
Language: | English |
Online Access: | Request full text |
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Summary: | This paper studies the numerical analysis of the optimization of the synchronization misalignment scheduling algorithm under the shared cloud computing environment. First, the user submitted job is initialized, and then the job is inserted into the execution queue according to the appropriate strategy of the user synchronization misalignment scheduling algorithm. Establish multiple simultaneous multiple vacations Queuing model. The steady-state distribution of the system model is given by the quasi-birth-death process and the matrix geometric solution method, and the expressions of the average response time of the task and the average power of the system are derived. The test results show that in the case of multiple virtual machines, compared with Xen's Credit scheduling algorithm, the synchronization optimization scheduling system CCHybrid improves the performance of parallel loads by 15% to 50%, and the performance impact on non-parallel loads does not exceed 5%. |
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ISSN: | 2768-5330 |
DOI: | 10.1109/ICICCS53718.2022.9788434 |