面向云数据中心虚拟机管理的分布式自平衡策略

Daniela Loreti, A. Ciampolini
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引用次数: 4

摘要

云计算对于现代企业来说是一种至关重要的计算范式,因为它可以使企业从管理不断增长的it基础设施中解脱出来。通过动态地提供大量计算资源,云还可以简化cpu密集型应用程序的执行。由于用户数量的增加和资源请求的增加,用于云计算的现代数据中心正面临着日益复杂的挑战。现在很多工作都集中在为云基础设施提供自主行为上,这样它就可以在没有人工干预的情况下跨数据中心节点做出关于虚拟机(VM)管理的决策。虽然这些解决方案的主要部分本质上是集中的,并且存在可伸缩性和可靠性问题,但我们研究了为云提供分散自组织行为的可能性。为此,我们提出了一种适合分布式环境的虚拟机迁移策略,在分布式环境中,主机可以根据预定义的协议相互交换状态信息。该策略的主要目标是通过方便地移动虚拟机来平衡数据中心物理主机上的计算负载。我们通过一个特别构建的模拟器测试了策略性能。
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A distributed self-balancing policy for virtual machine management in cloud datacenters
Cloud Computing is a crucial computational paradigm for modern companies because it can discharge them from managing their ever growing IT infrastructure. Dynamically offering a plenty of computational resources, the cloud can also simplify the execution of CPU-intensive applications. Modern data centers for cloud computing are facing the challenge of a growing complexity due to the increasing number of users and their augmenting resource requests. A lot of efforts are now concentrated on providing the cloud infrastructure with autonomic behavior, so that it can take decisions about virtual machine (VM) management across the datacenter's nodes without human intervention. While the major part of these solutions is intrinsically centralized and suffers of scalability and reliability problems, we investigate the possibility to provide the cloud with a decentralized self-organizing behavior. To this purpose we present a novel VM migration policy suitable for a distributed environment, where hosts can exchange status information with each other according to a predefined protocol. The main goal of the policy is to balance the computational load on datacenter's physical hosts by conveniently moving virtual machines (VMs). We tested the policy performance by means of an ad hoc built simulator.
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