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Energy-Aware and Cost Effective VM Allocation Strategy Based on Best Fit MultiValued Binpaking Algorithm

机译：基于最佳拟合多值Binpaking算法的节能环保型VM分配策略

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摘要

Cloud computing is growing by providing features like rapid elasticity, measured services, on demand self-service, broad network access and pay-as-you-go concepts. Cloud providers are building large data centers to achieve the regularly growing demand of cloud users. Virtualization technology is the core concept behind cloud computing which provides computing services in the form of virtual machines. A large number of cloud services are requested by a large number of cloud users dynamically in the cloud computing. So, an efficient policy must be used for providing all resources to requesting users to fulfill their needs. Therefore, one of the central challenges in cloud computing is optimal resource allocation. Cloud providers use various virtual machine placement (VMP) policies to allocate the virtual machine to the available minimum number of physical servers. In this paper, Best Fit Multi valued Bin Packing approach is proposed for optimum resources allocation in which different virtual machines are allocated to minimum number of hosts by considering three parameters: RAM, CPU processing (MIPS) and network bandwidth. This approach also uses these parameters of the available physical servers to maximize the resource utilization for reducing energy consumption. The simulations of cloud environment for this approach are achieved by using CloudSim simulator. Our results show that maximum utilization of resources is achieved by choosing least number of hosts.
机译：云计算通过提供诸如快速弹性，可衡量的服务，按需自助服务，广泛的网络访问和即付即用概念等功能而不断发展。云提供商正在建设大型数据中心，以满足云用户不断增长的需求。虚拟化技术是云计算背后的核心概念，它以虚拟机的形式提供计算服务。云计算中大量云用户动态地请求大量云服务。因此，必须使用有效的策略为请求用户提供所有资源，以满足他们的需求。因此，云计算的主要挑战之一是优化资源分配。云提供商使用各种虚拟机放置（VMP）策略将虚拟机分配给可用的最小物理服务器数量。在本文中，提出了最佳适合多值Bin Packing方法来优化资源分配，其中通过考虑三个参数：RAM，CPU处理（MIPS）和网络带宽，将不同的虚拟机分配给最少数量的主机。此方法还使用可用物理服务器的这些参数来最大化资源利用率以减少能耗。通过使用CloudSim模拟器可以实现针对该方法的云环境仿真。我们的结果表明，通过选择最少数量的主机可以最大程度地利用资源。

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