绿色计算:云资源的节能计算时代

S. Saxena, M. Zubair Khan, Ravendra Singh
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引用次数: 3

摘要

云计算是一种被广泛接受的计算环境,其服务也广泛可用。但是能源的消耗是云计算作为绿色计算的主要问题之一。由于许多电子资源,如处理设备、客户端和服务器站点的存储设备以及交换机等网络计算设备,路由器是云计算中能耗的主要元素,并且在计算过程中也需要计算能力来冷却云计算中的IT负载。因此,由于云资源的高消耗,在云计算的服务活动中定义了高能源成本,并向大气中排放了更多的碳。这两个问题激发了云公司制定可再生云可持续发展法规,以控制能源成本和二氧化碳排放量。本文的主要目的是通过在云服务计算过程中识别计算资源需求的具体方法,通过节约云资源的能源来开发绿色计算环境。只有所需的计算资源保持ON(工作状态),其余的计算资源变为OFF(睡眠/休眠状态),以减少云数据中心的能源使用。这种方法将比基于云服务调度或云网络中服务的迁移和虚拟化的其他可用方法更有效。它通过在计算资源上应用电源管理方案(开/关)来减少云数据中心的能源使用。提出的方法通过在云上的任何服务计算过程中确定适当数量的云计算资源(如处理节点、服务器、磁盘和交换机/路由器)来处理节能或环境影响,从而有助于将云计算转换为绿色计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Green Computing: An Era of Energy Saving Computing of Cloud Resources
: Cloud computing is a widely acceptable computing environment, and its services are also widely available. But the consumption of energy is one of the major issues of cloud computing as a green computing. Because many electronic resources like processing devices, storage devices in both client and server site and network computing devices like switches, routers are the main elements of energy consumption in cloud and during computation power are also required to cool the IT load in cloud computing. So due to the high consumption, cloud resources define the high energy cost during the service activities of cloud computing and contribute more carbon emissions to the atmosphere. These two issues inspired the cloud companies to develop such renewable cloud sustainability regulations to control the energy cost and the rate of CO 2 emission. The main purpose of this paper is to develop a green computing environment through saving the energy of cloud resources using the specific approach of identifying the requirement of computing resources during the computation of cloud services. Only required computing resources remain ON (working state), and the rest become OFF (sleep/hibernate state) to reduce the energy uses in the cloud data centers. This approach will be more efficient than other available approaches based on cloud service scheduling or migration and virtualization of services in the cloud network. It reduces the cloud data center's energy usages by applying a power management scheme (ON/OFF) on computing resources. The proposed approach helps to convert the cloud computing in green computing through identifying an appropriate number of cloud computing resources like processing nodes, servers, disks and switches/routers during any service computation on cloud to handle the energy-saving or environmental impact.
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