Scientific Programming

Scientific Programming / 2010 / Article

Open Access

Volume 18 |Article ID 298578 | https://doi.org/10.3233/SPR-2010-0299

Qian Zhu, Gagan Agrawal, "Supporting Fault-Tolerance for Time-Critical Events in Distributed Environments", Scientific Programming, vol. 18, Article ID 298578, 26 pages, 2010. https://doi.org/10.3233/SPR-2010-0299

Supporting Fault-Tolerance for Time-Critical Events in Distributed Environments

Abstract

In this paper, we consider the problem of supporting fault tolerance for adaptive and time-critical applications in heterogeneous and unreliable grid computing environments. Our goal for this class of applications is to optimize a user-specified benefit function while meeting the time deadline. Our first contribution in this paper is a multi-objective optimization algorithm for scheduling the application onto the most efficient and reliable resources. In this way, the processing can achieve the maximum benefit while also maximizing the success-rate, which is the probability of finishing execution without failures. However, for the cases where failures do occur, we have developed a hybrid failure recovery scheme to ensure that the application can complete within the pre-specified time interval. Our experimental results show that our scheduling algorithm can achieve better benefit when compared to several heuristics-based greedy scheduling algorithms, while still having a negligible overhead. Benefit is further improved when we apply the hybrid failure recovery scheme, and the success-rate becomes 100%.

Copyright © 2010 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


More related articles

 PDF Download Citation Citation
 Order printed copiesOrder
Views282
Downloads406
Citations