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Realistic models and efficient algorithms for fault-tolerant scheduling on heterogeneous platforms
Anne Benoit, Mourad Hakem, Yves Robert

Realistic models and efficient algorithms for fault-tolerant scheduling on heterogeneous platforms

Science & Mathematics Published 2008 Verification Pending

Overview & Synopsis

AbstractMost list scheduling heuristics rely on a simple platform model wherecommunication contention is not taken into account. In addition, it isgenerally assumed that processors in the systems are completely safe. Toschedule precedence graphs in a more realistic framework, we introducean efficient fault tolerant scheduling algorithm that is both contentionawareand capable of supporting " arbitrary fail-silent (fail-stop) processorfailures. We focus on a bi-criteria approach, where we aim atminimizing the total execution time, or latency, given a fixed number offailures supported in the system. Our algorithm has a low time complexity,and drastically reduces the number of additional communicationsinduced by the replication mechanism. Experimental results fullydemonstrate the usefulness of the proposed algorithm, which leads toefficient execution schemes while guaranteeing a prescribed level of faulttolerance.

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Document Information

Document Title Realistic models and efficient algorithms for fault-tolerant scheduling on heterogeneous platforms
Author / Organization Anne Benoit, Mourad Hakem, Yves Robert
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2008
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-166600
Original Source Link Visit Source Page on hal.science »