A multiprocessor scheduling algorithm for low overhead fault-tolerance

We propose a new scheduling algorithm for achieving fault tolerance in multiprocessor systems. The new algorithm partitions a parallel program into subsets of tasks based on some characteristics of a task graph. Then for each subset, the algorithm duplicates and schedules its tasks successively. App...

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Vydáno v:Proceedings - Symposium on Reliable Distributed Systems s. 186 - 194
Hlavní autoři: Hashimoto, K., Tsuchiya, T., Kikuno, T.
Médium: Konferenční příspěvek Journal Article
Jazyk:angličtina
Vydáno: IEEE 01.01.1998
Témata:
Fault tolerance
Laplace equations
Processor scheduling
Scheduling algorithm
ISBN:0818692189, 9780818692185
ISSN:1060-9857
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Abstract We propose a new scheduling algorithm for achieving fault tolerance in multiprocessor systems. The new algorithm partitions a parallel program into subsets of tasks based on some characteristics of a task graph. Then for each subset, the algorithm duplicates and schedules its tasks successively. Applying the proposed algorithm to three kinds of practical task graphs (Gaussian elimination, Laplace equation solver and LU decomposition), we conduct simulations. Experimental results show that fault tolerance can be achieved at the cost of a small degree of time redundancy, and that performance in the case of a processor failure is improved compared to a previous algorithm.
AbstractList We propose a new scheduling algorithm for achieving fault tolerance in multiprocessor systems. The new algorithm partitions a parallel program into subsets of tasks based on some characteristics of a task graph. Then for each subset, the algorithm duplicates and schedules its tasks successively. Applying the proposed algorithm to three kinds of practical task graphs (Gaussian elimination, Laplace equation solver and LU decomposition), we conduct simulations. Experimental results show that fault tolerance can be achieved at the cost of a small degree of time redundancy, and that performance in the case of a processor failure is improved compared to a previous algorithm.
In this paper, we propose a new scheduling algorithm for achieving fault-tolerance in multiprocessor systems. The new algorithm partitions a parallel program into subsets of tasks based on some characteristics of a task graph. Then for each subset, the algorithm duplicates and schedules its tasks successively. Applying the proposed algorithm to three kinds of practical task graphs (Gaussian elimination, Laplace equation solver and LU-decomposition), we conduct simulations. Experimental results show that fault-tolerance can be achieved at the cost of small degree of time redundancy, and that performance in the case of a processor failure is improved compared to a previous algorithm.
Author Tsuchiya, T.
Hashimoto, K.
Kikuno, T.
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Snippet We propose a new scheduling algorithm for achieving fault tolerance in multiprocessor systems. The new algorithm partitions a parallel program into subsets of...
In this paper, we propose a new scheduling algorithm for achieving fault-tolerance in multiprocessor systems. The new algorithm partitions a parallel program...
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SubjectTerms Fault tolerance
Laplace equations
Processor scheduling
Scheduling algorithm
Title A multiprocessor scheduling algorithm for low overhead fault-tolerance
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