Software Rejuvenation based Fault Tolerance Scheme for Cloud Applications

被引：26

作者：

Liu, Jing ^{[1
]}

Zhou, Jiantao ^{[1
]}

Buyya, Rajkumar ^{[2
]}

机构：

[1] Inner Mongolia Univ, Coll Comp Sci, Hohhot, Peoples R China

[2] Univ Melbourne, Dept Comp & Informat Syst, CLOUDS Lab, Melbourne, Vic 3010, Australia

来源：

2015 IEEE 8TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING | 2015年

关键词：

software rejuvenation; failure prediction; live VM migration; checkpoint; cloud computing;

D O I：

10.1109/CLOUD.2015.164

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cloud applications are typically composed of multiple cloud service components communicating with each other through web service interfaces, where each component fulfills specified functionalities. Lack of effective fault tolerance scheme is one of major obstacles for enhancing availability and efficiency of complex and aging cloud application systems. In this paper, we propose a holistic software rejuvenation based fault tolerance scheme for cloud applications, which contains three indispensible parts: adaptive failure detection, aging degree evaluation, and checkpoint with trace replay based component rejuvenation. Through a preliminary and qualitative evaluation, it shows that our new fault tolerance scheme brings promising improvement on the availability of cloud applications.

引用

页码：1115 / 1118

页数：4

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