Reliability of fault-tolerant systems with parallel task processing

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ejor.2005.11.016 Byline: Gregory Levitin (a), Min Xie (b), Tieling Zhang (b) Keywords: Performance; Fault-tolerant software; Multiprocessor system; Universal generating function Abstract: The paper considers performance and reliability of fault-tolerant software running on a hardware system that consists of multiple processing units. The software consists of functionally equivalent but independently developed versions that start execution simultaneously. The computational complexity and reliability of different versions are different. The system completes the task execution when the outputs of a pre-specified number of versions coincide. The processing units are characterized by different availability and processing speed. It is assumed that they are able to share the computational burden perfectly and that execution of each version can be fully parallelized. The algorithm based on the universal generating function technique is used for determining the distribution of system task execution time. This algorithm allows analysts to evaluate complex hardware-software reliability and performance indices such as expected task execution time and probability that the task is completed within a given time. Illustrative examples are also presented. Author Affiliation: (a) Reliability Department, Planning, Development and Technology Division, Israel Electric Corporation Ltd., P.O. Box 10, Haifa 31000, Israel (b) Department of Industrial and Systems Engineering, National University of Singapore, Singapore 117576, Singapore Article History: Received 31 December 2004; Accepted 10 November 2005