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A power and thermal-aware virtual machine allocation mechanism for Cloud data centers

机译:云数据中心的电源和热感知虚拟机分配机制

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With the rapid growing number of Cloud applications, demands for large-scale data centers have raised to historical high. Cloud data centers allow dynamic and flexible resource provisioning to accommodate time varying computational demands. Recent studies have proposed several allocation policies based mainly on power consumption of servers. Host temperature, however, is rarely considered as a monitoring parameter. This work proposes a power and thermal-aware virtual machine (VM) allocation mechanism for Cloud data centers. The objective of the proposed mechanism is to reduce the overall energy consumption and VM migration numbers, while avoiding violations of Service Level Agreements (SLA) in Cloud data centers. The proposed mechanism was implemented and evaluated on CloudSim. Simulation results show that the proposed allocation mechanism brings significant benefits in terms of energy saving and other performance indices.
机译:随着云应用的快速增长,对大规模数据中心的需求升至历史高。云数据中心允许动态和灵活的资源供应,以适应时间变化的计算需求。最近的研究提出了主要基于服务器的功耗的若干分配政策。然而,主机温度很少被认为是监测参数。这项工作提出了一种云数据中心的电源和热感知虚拟机(VM)分配机制。拟议机制的目的是减少整体能源消耗和VM迁移号,同时避免云数据中心违反服务级别协议(SLA)。拟议的机制是在Cloudsim实施和评估。仿真结果表明,该建议的分配机制在节能和其他性能指标方面带来了显着的益处。

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