With the rapid demand for service-oriented computing in association with the growth of cloud computing technologies, large-scale virtualized data centers have been established throughout the globe. These huge data centers consume power at a large scale that results in a high operational cost. The massive carbon footprint from the energy generators is another great issue to deal global warming. It is essential to lower the rate of carbon emission and energy consumption as much as possible. The live-migration-enabled dynamic virtual machine consolidation results in high energy saving. But it also incurs the violation of service level agreement (SLA). Excessive migration may lead to performance degradation and SLA violation. The process of VM selection for migration plays a vital role in the domain of energy-aware cloud computing. Using VM selection policies, VMs are selected for migration. A new power-aware VM selection policy has been proposed in this research that helps in VM selection for migration. The proposed power-aware VM selection policy has been further evaluated using trace-based simulation environment.

中文翻译：

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一种在绿色云计算领域设计和开发具有改进的 SLA 违规的能量感知 VM 选择策略的方法

随着云计算技术的发展，对面向服务的计算需求的快速增长，大规模的虚拟化数据中心已经在全球范围内建立起来。这些巨大的数据中心大规模消耗电力，导致高运营成本。能源发电机产生的大量碳足迹是应对全球变暖的另一个重大问题。尽可能降低碳排放和能源消耗率至关重要。支持实时迁移的动态虚拟机整合带来高节能效果。但它也会导致违反服务级别协议 (SLA)。过度迁移可能会导致性能下降和违反 SLA。迁移的 VM 选择过程在能源感知云计算领域起着至关重要的作用。使用 VM 选择策略，选择 VM 进行迁移。本研究中提出了一种新的功率感知 VM 选择策略，有助于选择用于迁移的 VM。使用基于跟踪的模拟环境进一步评估了提议的功率感知 VM 选择策略。