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An Efficient and Reliable Scientific Workflow System

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7 Author(s)
Tavares, T. ; Dept. of Comput. Sci., Univ. Fed. de Minas Gerais, Belo Horizonte ; Teodoro, G. ; Kurc, T. ; Ferreira, R.
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This paper presents a fault tolerance framework for applications that process data using a distributed network of user-defined operations in a pipelined fashion. The framework saves intermediate results and messages exchanged among application components in a distributed data management system to facilitate quick recovery from failures. The experimental results show that the framework scales well and our approach introduces very little overhead to application execution.

Published in:

Cluster Computing and the Grid, 2007. CCGRID 2007. Seventh IEEE International Symposium on

Date of Conference:

14-17 May 2007

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