Han Guangjie, Que Wenhui, Jia Gangyong, Shu Lei
Department of Information and Communication Systems, Hohai University, 200 North Jinling Road, Changzhou 213022, China.
Department of Computer Science, Hangzhou Dianzi University, Hangzhou 310018, China.
Sensors (Basel). 2016 Feb 18;16(2):246. doi: 10.3390/s16020246.
Cloud computing has innovated the IT industry in recent years, as it can delivery subscription-based services to users in the pay-as-you-go model. Meanwhile, multimedia cloud computing is emerging based on cloud computing to provide a variety of media services on the Internet. However, with the growing popularity of multimedia cloud computing, its large energy consumption cannot only contribute to greenhouse gas emissions, but also result in the rising of cloud users' costs. Therefore, the multimedia cloud providers should try to minimize its energy consumption as much as possible while satisfying the consumers' resource requirements and guaranteeing quality of service (QoS). In this paper, we have proposed a remaining utilization-aware (RUA) algorithm for virtual machine (VM) placement, and a power-aware algorithm (PA) is proposed to find proper hosts to shut down for energy saving. These two algorithms have been combined and applied to cloud data centers for completing the process of VM consolidation. Simulation results have shown that there exists a trade-off between the cloud data center's energy consumption and service-level agreement (SLA) violations. Besides, the RUA algorithm is able to deal with variable workload to prevent hosts from overloading after VM placement and to reduce the SLA violations dramatically.
近年来，云计算革新了信息技术产业，因为它能够以即付即用的模式向用户提供基于订阅的服务。与此同时，基于云计算的多媒体云计算正在兴起，以在互联网上提供各种媒体服务。然而，随着多媒体云计算的日益普及，其高能耗不仅会导致温室气体排放，还会导致云用户成本上升。因此，多媒体云提供商应在满足消费者资源需求并保证服务质量（QoS）的同时，尽可能降低其能耗。在本文中，我们提出了一种用于虚拟机（VM）放置的剩余利用率感知（RUA）算法，并提出了一种功率感知算法（PA）来寻找合适的主机进行关闭以节省能源。这两种算法已被结合并应用于云数据中心以完成VM整合过程。仿真结果表明，云数据中心的能耗与服务水平协议（SLA）违规之间存在权衡。此外，RUA算法能够处理可变工作负载，以防止VM放置后主机过载，并显著减少SLA违规。
