標題: Conditional-Fault Diagnosability of Multiprocessor Systems with an Efficient Local Diagnosis Algorithm under the PMC Model
作者: Lin, Cheng-Kuan
Kung, Tzu-Liang
Tan, Jimmy J. M.
資訊工程學系
Department of Computer Science
關鍵字: Fault diagnosis;PMC model;diagnosability;reliability;diagnosis algorithm
公開日期: 1-十月-2011
摘要: Diagnosis is an essential subject for the reliability of multiprocessor systems. Under the PMC diagnosis model, Dahbura and Masson [12] proposed a polynomial-time algorithm with time complexity O(N(2.5)) to identify all the faulty processors in a system with N processors. In this paper, we present a novel method to diagnose a conditionally faulty system by applying the concept behind the local diagnosis, introduced by Somani and Agarwal [30], and formalized by Hsu and Tan [18]. The goal of local diagnosis is to identify the fault status of any single processor correctly. Under the PMC diagnosis model, we give a sufficient condition to estimate the local diagnosability of a given processor. Furthermore, we propose a helpful structure, called the augmenting star, to efficiently determine the fault status of each processor. For an N-processor system in which every processor has an O(log N) degree, the time complexity of our algorithm to diagnose any given processor is O((log N)(2)), provided that each processor can construct an augmenting star structure of full order in time O((log N)(2)) and the time for a processor to test another one is constant. Therefore, the time totals to O(N(log N)(2)) for diagnosing the whole system.
URI: http://dx.doi.org/10.1109/TPDS.2011.46
http://hdl.handle.net/11536/19004
ISSN: 1045-9219
DOI: 10.1109/TPDS.2011.46
期刊: IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
Volume: 22
Issue: 10
起始頁: 1669
結束頁: 1680
顯示於類別:期刊論文


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  1. 000294162500007.pdf