• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >Piccolo: A Fast and Efficient Rollback System for Virtual Machine Clusters
【24h】

Piccolo: A Fast and Efficient Rollback System for Virtual Machine Clusters

机译：Piccolo：一种用于虚拟机集群的快速高效的回滚系统

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Rollback is an effective technique to resume the system execution from a recorded intermediate state upon failures, without having to restart the entire system. However, in virtualized environments, rollback of a virtual machine cluster (VMC) produces high network traffic and long service disruption, particularly for a large cluster used for scientific computing, thereby imposing significant overhead both on network and applications. This paper proposes Piccolo, a fast and efficient rollback system, to restore a VMC from snapshot files over data center network. First, we exploit the similarity among VMC snapshots and leverage multicast to deliver the identical pages across VMs placed on disperse hosts, thereby bypassing unnecessary transmission of a large number of pages. Second, we analyze the impact on network traffic of varying VM placements in data center network, formulate the traffic aware placement as an optimization problem, and design a two-tier approximation algorithm that efficiently solves the problem. In addition to presenting Piccolo, we detail its implementation, and evaluate it by a set of experiments. The results show that Piccolo could achieve a significant reduction in terms of total sent data, network traffic and rollback latency compared to the existing generic techniques.
机译：回滚是一种有效的技术，可以在发生故障时从记录的中间状态恢复系统执行，而不必重新启动整个系统。但是，在虚拟化环境中，虚拟机群集（VMC）的回滚会产生大量的网络流量和长时间的服务中断，尤其是对于用于科学计算的大型群集而言，从而给网络和应用程序带来了巨大的开销。本文提出了一种Piccolo，一种快速高效的回滚系统，可以通过数据中心网络上的快照文件还原VMC。首先，我们利用VMC快照之间的相似性，并利用多播在跨分散主机的虚拟机之间传递相同的页面，从而绕开了不必要的大量页面传输。其次，我们分析了数据中心网络中不同VM放置对网络流量的影响，将流量感知放置公式化为优化问题，并设计了两层近似算法来有效解决该问题。除了介绍Piccolo，我们还详细介绍了Piccolo的实现，并通过一系列实验对其进行了评估。结果表明，与现有的通用技术相比，Piccolo可以在总发送数据，网络流量和回滚延迟方面实现显着降低。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号