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A study on server Sleep state transition to reduce power consumption in a virtualized server cluster environment

机译:关于在虚拟服务器集群环境中降低功耗的服务器睡眠状态转换的研究

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Growth of Cloud computing has fueled the demand for large infrastructures called data centers. While the objective of the cloud computing ecosystem is to move computation and processing away towards a centralized environment, the fallout lies in the power and energy consumption of these infrastructures. Reducing power consumption is an essential requirement for Cloud resource providers to decrease operating costs. One of the options to reduce power consumption is to reduce the number of servers in IDLE (unused) state— as these IDLE servers consume as much as 60% of peak power. Number of servers in IDLE state can be reduced by turning off IDLE servers or transitioning these IDLE servers to low power SLEEP state. With virtualization being the backbone to provision cloud computing services, we use simulation to study and report the impact of using SLEEP state on the server with its virtual machines (VM) servicing application workload requests. We look at two parameters: a) power consumption of the cloud computing environment, b) average response time per request. Our simulation results show that using SLEEP state at server level, and the server with its VMs' servicing application workload requests, we can achieve a 2% savings in average power usage and around 27% savings in average response time per request.
机译:云计算的增长推动了对称为数据中心的大型基础架构的需求。尽管云计算生态系统的目标是将计算和处理移向集中式环境,但其后果在于这些基础架构的功耗和能耗。降低功耗是云资源提供商降低运营成本的基本要求。减少功耗的一种方法是减少处于IDLE(未使用)状态的服务器数量,因为这些IDLE服务器消耗的峰值功率高达60%。可以通过关闭IDLE服务器或将这些IDLE服务器转换为低功耗SLEEP状态来减少处于IDLE状态的服务器数量。虚拟化是提供云计算服务的基础,我们使用仿真来研究和报告使用SLEEP状态对服务器及其虚拟机(VM)提供服务的应用程序工作负载请求的影响。我们看两个参数:a)云计算环境的功耗,b)每个请求的平均响应时间。我们的仿真结果表明,在服务器级别使用SLEEP状态以及服务器及其虚拟机为应用程序工作负载提供服务时,我们可以将平均耗电量节省2%,将每个请求的平均响应时间节省约27%。

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