Efficient and scalable fault detection algorithm for grid systems

作     者：Ji, Xiaobo Chen, Shuyu Tian, Dong Wang, Rongbin 

作者机构：Department of Computer Science Chongqing University 174 Shazheng Street Chongqing 400044 China Department of Software Engineering Chongqing University 174 Shazheng Street Chongqing 100044 China Guizhou Electronic Computer Software Development Center 16 Science Street Guiyang 550003 China 

出 版 物：《Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University》 (Wuhan Daxue Xuebao Xinxi Kexue Ban)

年 卷 期：2008年第33卷第10期

页      面：1046-1050页

核心收录：

主　　题：Fault detection 

摘      要：Aimed at the problem that grids are more prone to failures, and existing failure detection algorithms can not satisfy the unique requirement of grids, an efficient and scalable failure detection algorithm is then presented. According to the characteristics of grids and the small world theory, the authors established a small world based grid system model and a fault detection model;Combined unreliable fault detection method with heartbeat strategy and grey prediction model, they designed a dynamic heartbeat mechanism, and presented the efficient and scalable fault detection algorithm for grid systems further. They also analyzed the performance of the: algorithm theoretically, such as how to select performance factors, as well as accuracy, completeness and scalability of the algorithm. At last, experimental result demonstrates that the algorithm is valid and effective, can be used for fault detection under grid environments.