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Impact of workload and system parameters on next generation cluster scheduling mechanisms

  • Published:2001-09 Issue:9 Volume:12 Page:967-985
  • ISSN:1045-9219
  • Container-title:IEEE Transactions on Parallel and Distributed Systems
  • language:
  • Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Yanyong Zhang ,Sivasubramaniam A.,Moreira J.,Franke H.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. A new hybrid particle swarm optimizationalgorithm for optimal tasks scheduling in distributed computing system;Intelligent Systems with Applications;2023-05

3. Opposition-based learning inspired particle swarm optimization (OPSO) scheme for task scheduling problem in cloud computing;Journal of Ambient Intelligence and Humanized Computing;2021-01-03

4. Distributed Parameter Optimization Scheduling Strategy and System Design Based on Mesos;2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS);2019-05

5. An Effective Task Scheduling Approach for Cloud Computing Environment;Lecture Notes in Electrical Engineering;2016
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