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首页> 外文期刊>ACM SIGPLAN Notices: A Monthly Publication of the Special Interest Group on Programming Languages >CloudNet: dynamic pooling of cloud resources by live WAN migration of virtual machines
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CloudNet: dynamic pooling of cloud resources by live WAN migration of virtual machines

机译:CloudNet:通过虚拟机的实时WAN迁移来动态池化云资源

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Virtual machine technology and the ease with which VMs can be migrated within the LAN, has changed the scope of resource management from allocating resources on a single server to manipulating pools of resources within a data center. We expect WAN migration of virtual machines to likewise transform the scope of provisioning compute resources from a single data center to multiple data centers spread across the country or around the world. In this paper we present the CloudNet architecure as a cloud framework consisting of cloud computing platforms linked with a VPN based network infrastructure to provide seamless and secure connectivity between enterprise and cloud data center sites. To realize our vision of efficiently pooling geographically distributed data center resources, CloudNet provides optimized support for live WAN migration of virtual machines. Specifically, we present a set of optimizations that minimize the cost of transferring storage and virtual machine memory during migrations over low bandwidth and high latency Internet links. We evaluate our system on an operational cloud platform distributed across the continental US. During simultaneous migrations of four VMs between data centers in Texas and Illinois, CloudNet's optimizations reduce memory migration time by 65% and lower bandwidth consumption for the storage and memory transfer by 19GB, a 50% reduction.
机译:虚拟机技术以及可在LAN内迁移VM的简便性,已将资源管理的范围从在单个服务器上分配资源变为在数据中心内处理资源池。我们希望虚拟机进行WAN迁移,同样会将配置计算资源的范围从单个数据中心转变为遍布全国或世界各地的多个数据中心。在本文中,我们将CloudNet体系结构介绍为一个云框架,该框架由与基于VPN的网络基础结构链接的云计算平台组成,以提供企业和云数据中心站点之间的无缝和安全连接。为了实现我们有效地集中地理上分散的数据中心资源的愿景,CloudNet为虚拟机的实时WAN迁移提供了优化的支持。具体来说,我们提出了一组优化措施,这些优化方案可在通过低带宽和高延迟Internet链接进行迁移期间最大程度地降低转移存储和虚拟机内存的成本。我们在遍布美国大陆的可运营云平台上评估我们的系统。在德克萨斯州和伊利诺伊州的数据中心之间同时迁移四个虚拟机时,CloudNet的优化将内存迁移时间减少了65%,并将存储和内存传输的带宽消耗降低了19GB,减少了50%。

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