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Energy Efficient Resource Selection and Allocation Strategy for Virtual Machine Consolidation in Cloud Datacenters

机译:云数据中心中虚拟机整合的节能资源选择和分配策略

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Virtual Machine Placement (VMP) plays an important role in ensuring efficient resource provisioning of physical machines (PMs) and energy efficiency in Infrastructure as a Service (IaaS) data centers. Efficient server consolidation assisted by virtual machine (VM) migration can promote the utilization level of the servers and switch the idle PMs to sleep mode to save energy. The trade-off between energy and performance is difficult, because consolidation may cause performance degradation, even service level agreement (SLA) violations. A novel residual available capacity (RAC) resource model is proposed to resolve the VM selection and allocation problem from the cloud service provider (CSP) perspective. Furthermore, a novel heuristic VM selection policy for server consolidation, named Minimized Square Root available Resource (MISR) is proposed. Meanwhile, an efficient VM allocation policy, named Balanced Selection (BS) based on RAC is proposed. The effectiveness validation of the BS-MISR combination is conducted on CloudSim with real workloads from the CoMon project. Evaluation results of experiments show that the proposed combinationBS-MISR can significantly reduce the energy consumption, with an average of 36.35% compared to the Local Regression and Minimum Migration Time (LR-MMT) combination policy. Moreover, the BS-MISR ensures a reasonable level of SLAs compared to the benchmarks.
机译:虚拟机布局(VMP)在确保基础架构即服务(IaaS)数据中心的物理机(PM)的资源有效配置和能效方面发挥着重要作用。由虚拟机(VM)迁移协助的高效服务器整合可以提高服务器的利用率,并将空闲的PM切换到睡眠模式以节省能源。能源和性能之间的权衡比较困难,因为合并可能会导致性能下降,甚至违反服务水平协议(SLA)。提出了一种新颖的剩余可用容量(RAC)资源模型,以从云服务提供商(CSP)角度解决VM选择和分配问题。此外,提出了一种新颖的用于服务器整合的启发式VM选择策略,称为“最小平方根可用资源(MISR)”。同时,提出了一种有效的基于RAC的虚拟机分配策略,称为平衡选择(BS)。 BS-MISR组合的有效性验证是在CloudSim上使用CoMon项目中的实际工作负载进行的。实验评估结果表明,与局部回归和最小迁移时间(LR-MMT)组合策略相比,提出的BS-MISR组合可以显着降低能耗,平均降低36.35%。而且,与基准相比,BS-MISR确保了合理的SLA水平。

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