Reliability Evaluation of Data Center Network DCell

Mengjie Lv, Shuming Zhou, Xueli Sun, Guanqin Lian, Jiafei Liu
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引用次数: 5

Abstract

With the rapid development of cloud computing, many large-scale data centers are being built to provide increasingly popular online application services, such as search, e-mails, WeChat, and microblog, etc. The reliability of a massive data center network is the likelihood that it performs its expected functions consistently well under the given conditions within a specified time interval. A typical approach to measure the reliability of the system is to count the mean time to failure (MTTF), which shows the time that the appearance of a certain number of faulty subsystem costs. The higher the MTTF, the more reliable the system is. In this paper, we explore the reliability of data center network DCell when it is decomposed into smaller ones along the last dimension under server (node) failure model and link failure model, respectively.
数据中心网络DCell可靠性评估
随着云计算的快速发展,许多大型数据中心正在建设中,以提供越来越流行的在线应用服务,如搜索、电子邮件、微信、微博等。大型数据中心网络的可靠性是指它在给定的条件下,在指定的时间间隔内始终如一地执行其预期功能的可能性。衡量系统可靠性的一种典型方法是计算平均故障间隔时间(MTTF),它显示了出现一定数量的故障子系统所花费的时间。MTTF值越高,系统越可靠。本文分别在服务器(节点)故障模型和链路故障模型下,对数据中心网络DCell沿最后一个维度分解为较小的DCell时的可靠性进行了研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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