The increasing growth in the demand for cloud computing services, due to the increasing digital transformation and the high elasticity of the cloud, requires more efforts to improve the electrical energy efficiency of cloud data centers. In this paper, an energy-efficient hybrid (EEH) framework for improving the efficiency of consuming electrical energy in data centers is proposed and evaluated. The proposed framework is based on both the request scheduling and servers consolidation approaches rather than depending only on one approach as in the existing related works. The EEH framework sorts the customers' requests (tasks) according to their time and power needs before performing the scheduling. It has a scheduling algorithm that considers power consumption when taking its scheduling decisions. It also has a consolidation algorithm that determines the underloaded servers to be slept or hibernated, the overloaded servers, the virtual machines to be migrated and the servers that will receive migrated virtual machines. In addition, the EEH framework includes a migration algorithm for transferring migrated virtual machines to new servers. Results of simulation experiments indicate the superiority of the EEH framework to the utilization of one approach only to reduce power consumption in terms of power usage effectiveness (PUE), data center energy productivity (DCEP), average execution time, throughput and cost saving.

中文翻译：

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绿色云计算的节能混合框架


由于数字化转型的不断深入以及云的高弹性，云计算服务的需求不断增长，需要付出更多努力来提高云数据中心的电能效率。本文提出并评估了一种用于提高数据中心电能消耗效率的节能混合（EEH）框架。所提出的框架基于请求调度和服务器整合方法，而不是像现有相关工作那样仅依赖于一种方法。 EEH 框架在执行调度之前根据客户的时间和电力需求对客户的请求（任务）进行排序。它有一个调度算法，在做出调度决策时会考虑功耗。它还具有整合算法，可确定要睡眠或休眠的负载不足的服务器、过载的服务器、要迁移的虚拟机以及将接收迁移的虚拟机的服务器。此外，EEH框架还包括用于将迁移的虚拟机转移到新服务器的迁移算法。仿真实验结果表明，EEH框架在电力使用效率（PUE）、数据中心能源生产率（DCEP）、平均执行时间、吞吐量和成本节省方面优于仅利用一种方法来降低功耗。