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Adaptive failure detection algorithm for grid systems
pp. 288-296
Abstract
Aimed at the grid system being more in failure and existing failure detection algorithms being not able to satisfy the unique requirement of grids, it was presented to a kind of adaptive failure detection algorithm in this paper. According to the characteristics of grids and the small world theory, the authors established a sort of small world based grid system model and a sort of failure detection model. By means of combining unreliable fault detection method with heartbeat strategy and grey prediction model, it was designed to dynamic heartbeat mechanism, and presented to the adaptive failure detection algorithm for grid systems further. Experimental result demonstrates that it is valid and effective in method, and it can be used for fault detection under grid environment.
Publication details
Published in:
Cao Bing-yuan, Zhang Cheng-yi, Li Tai-fu (2009) Fuzzy information and Engineering I. Dordrecht, Springer.
Pages: 288-296
DOI: 10.1007/978-3-540-88914-4_36
Full citation:
Tian Dong, Mao Tai-ping, Xie Jun (2009) „Adaptive failure detection algorithm for grid systems“, In: B. Cao, C. Zhang & T.-f. Li (eds.), Fuzzy information and Engineering I, Dordrecht, Springer, 288–296.