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Joint study on VMs deployment, assignment and migration in geographically distributed data centers

机译:地理分布数据中心中的VM部署,分配和迁移的联合研究

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摘要

Enterprises build private clouds to provide IT resources for geographically distributed subsidiaries or product divisions. Public cloud providers like Amazon lease their platforms to enterprise users, thus, enterprises can also rent a number of virtual machines (VMs) from their data centers in the service provider networks. Unfortunately, the network cannot always guarantee stable connectivity for their clients to access the VMs or low-latency transfer among data centers. Usually, both latency and bandwidth are in unstable network environment. Being affected by background traffics, the network status can be volatile. To reduce the latency uncertainty of client accesses, enterprises should consider the network status when they deploy data centers or rent virtual data centers from cloud providers. In this paper, we first develop a data center deployment and assignment scheme for an enterprise to meet its users' requirements under uncertain network status. To accommodate to the changes of the network status and users' demands, a VMs migration-based redeployment scheme is adopted. These two schemes work in a joint way, and lay out a framework to help enterprises make better use of private or public clouds.
机译:企业构建私有云,以便为地理上分散的子公司或产品部门提供IT资源。像Amazon这样的公共云提供商将其平台出租给企业用户,因此,企业还可以从服务提供商网络中的数据中心租用许多虚拟机(VM)。不幸的是,网络无法始终保证其客户端访问VM的稳定连接性或数据中心之间的低延迟传输。通常,延迟和带宽都处于不稳定的网络环境中。受后台流量的影响,网络状态可能会不稳定。为了减少客户端访问的延迟不确定性,企业在部署数据中心或从云提供商租用虚拟数据中心时应考虑网络状态。在本文中,我们首先为企业开发了一种数据中心部署和分配方案,以在不确定的网络状态下满足其用户需求。为了适应网络状态和用户需求的变化,采用了基于虚拟机迁移的部署方案。这两个方案以共同的方式工作,并提出了一个框架来帮助企业更好地利用私有或公共云。

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