Power and performance management for parallel computations in clouds and data centers
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- 作者：Keqin Li ; lik@newpaltz.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Cloud computing ; Data center ; Energy-efficient scheduling ; Parallel task ; Performance analysis ; Precedence constraint ; Simulation
- 刊名：Journal of Computer and System Sciences
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：82
- 期：2
- 页码：174-190
- 全文大小：452 K
文摘
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Address task scheduling in a data center as combinatorial optimization problems.
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Use level-by-level scheduling algorithms to deal with precedence constraints.
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Use a simple system partitioning and processor allocation scheme.
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Use two heuristic algorithms for scheduling independent tasks in the same level.
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Adopt a two-level energy/time/power allocation scheme.