Fault tolerant computing on the grid: What are my options?

Jon B. Weissman

Fault tolerant computing on the grid: What are my options?

Jon B. Weissman

Computer Science and Engineering

Research output: Contribution to journal › Conference article › peer-review

12 Scopus citations

Abstract

Achieving large-scale distributed computing in a seamless manner introduces a number of difficult problems. The fault tolerance options for a common class of high-performance parallel applications, single-program-multiple-data (SPMD). Performance models for two fault tolerance methods, checkpoint-recovery (CR) and wide-area replication (WR), were developed. These models enable quantitative comparisons of the two methods as applied to SPMD applications.

Original language	English (US)
Pages (from-to)	351-352
Number of pages	2
Journal	IEEE International Symposium on High Performance Distributed Computing, Proceedings
State	Published - Dec 1 1999
Event	Proceedings of the 1999 8th IEEE International Symposium on High Performance Distributed Computing - HPDC-8 - Redondo Beach, CA, USA Duration: Aug 3 1999 → Aug 6 1999

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title = "Fault tolerant computing on the grid: What are my options?",

abstract = "Achieving large-scale distributed computing in a seamless manner introduces a number of difficult problems. The fault tolerance options for a common class of high-performance parallel applications, single-program-multiple-data (SPMD). Performance models for two fault tolerance methods, checkpoint-recovery (CR) and wide-area replication (WR), were developed. These models enable quantitative comparisons of the two methods as applied to SPMD applications.",

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year = "1999",

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N2 - Achieving large-scale distributed computing in a seamless manner introduces a number of difficult problems. The fault tolerance options for a common class of high-performance parallel applications, single-program-multiple-data (SPMD). Performance models for two fault tolerance methods, checkpoint-recovery (CR) and wide-area replication (WR), were developed. These models enable quantitative comparisons of the two methods as applied to SPMD applications.

AB - Achieving large-scale distributed computing in a seamless manner introduces a number of difficult problems. The fault tolerance options for a common class of high-performance parallel applications, single-program-multiple-data (SPMD). Performance models for two fault tolerance methods, checkpoint-recovery (CR) and wide-area replication (WR), were developed. These models enable quantitative comparisons of the two methods as applied to SPMD applications.

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Y2 - 3 August 1999 through 6 August 1999

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