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Issue No.04 - April (2004 vol.30)
pp: 257-277
ABSTRACT
Few distributed software-implemented fault tolerance (SIFT) environments have been experimentally evaluated using substantial applications to show that they protect both themselves and the applications from errors. This paper presents an experimental evaluation of a SIFT environment used to oversee spaceborne applications as part of the Remote Exploration and Experimentation (REE) program at the Jet Propulsion Laboratory. The SIFT environment is built around a set of self-checking <scp>ARMOR</scp> processes running on different machines that provide error detection and recovery services to themselves and to the REE applications. An evaluation methodology is presented in which over 28,000 errors were injected into both the SIFT processes and two representative REE applications. The experiments were split into three groups of error injections, with each group successively stressing the SIFT error detection and recovery more than the previous group. The results show that the SIFT environment added negligible overhead to the application's execution time during failure-free runs. Correlated failures affecting a SIFT process and application process are possible, but the division of detection and recovery responsibilities in the SIFT environment allows it to recover from these multiple failure scenarios. Only 28 cases were observed in which either the application failed to start or the SIFT environment failed to recognize that the application had completed. Further investigations showed that assertions within the SIFT processes—coupled with object-based incremental checkpointing—were effective in preventing system failures by protecting dynamic data within the SIFT processes.
INDEX TERMS
Software-implemented fault tolerance, distributed systems, high availability.
CITATION
Keith Whisnant, Ravishankar K. Iyer, Zbigniew T. Kalbarczyk, Phillip H. Jones III, David A. Rennels, Raphael Some, "The Effects of an ARMOR-Based SIFT Environment on the Performance and Dependability of User Applications", IEEE Transactions on Software Engineering, vol.30, no. 4, pp. 257-277, April 2004, doi:10.1109/TSE.2004.1274045
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