首页> 外文会议>Sixth IEEE International Symposium on Cluster Computing and the Grid Workshops >Survival of the Internet applications: a cluster recovery model
【24h】

Survival of the Internet applications: a cluster recovery model

机译:Internet应用程序的生存:集群恢复模型

获取原文

摘要

Internet applications become increasingly widely used for millions of people in the world and on the other hand the accidents or disruptions of service are also dramatically increasing. Accidents or disruptions occur either because of disasters or because of malicious attacks. The disasters could not be completely prevented. Prevention is a necessary but not a sufficient component of disaster. In this case, we have to prepare thoroughly for reducing the recovery time and get the users back to work faster. In this paper, we present a cluster recovery model to increase the survivability level of Internet applications. We construct a state transition model to describe the behaviors of cluster systems. By mapping through recovery actions to this transition model with stochastic process, we capture system behaviors as well as we get mathematical steady-state solutions of that chain. We first carry out for steady-state behaviors leading to measures like steady-state availability. By transforming this model with the system states we compute a system measure, the mean time to repair (MTTR) and also compute probabilities of cluster systems failures due in face of disruptions. Our model with the recovery actions have several benefits, which include reducing the time to get the users back to work and making recovery performance insensitive to the selection of a failure treatment parameter
机译:互联网应用越来越广泛地被世界上数百万人使用,另一方面,事故或服务中断也在急剧增加。事故或破坏是由于灾难或恶意攻击而发生的。灾难无法完全预防。预防是灾难的必要组成部分,但不是充分的组成部分。在这种情况下,我们必须做好充分准备以减少恢复时间,并使用户更快地恢复工作。在本文中,我们提出了一种集群恢复模型,以提高Internet应用程序的生存能力。我们构造了一个状态转移模型来描述集群系统的行为。通过将恢复操作映射到具有随机过程的此过渡模型,我们可以捕获系统行为并获得该链的数学稳态解决方案。我们首先进行稳态行为,导致采取诸如稳态可用性之类的措施。通过使用系统状态转换此模型,我们可以计算系统度量,平均修复时间(MTTR),还可以计算由于中断而导致的群集系统故障的可能性。我们的具有恢复措施的模型具有多个好处,其中包括减少使用户恢复工作的时间以及使恢复性能对故障处理参数的选择不敏感。

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