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A Failure Handling Framework for Distributed Data Mining Services on the Grid

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2 Author(s)
Cesario, E. ; ICAR-CNR, Rende, Italy ; Talia, D.

Fault tolerance is an important issue in Grid computing, where many and heterogenous machines are used. In this paper we present a flexible failure handling framework which extends a service-oriented architecture for Distributed Data Mining previously proposed, addressing the requirements for fault tolerance in the Grid. The framework allows users to achieve failure recovery whenever a crash can occur on a Grid node involved in the computation. The implemented framework has been evaluated on a real Grid setting to assess its effectiveness and performance.

Published in:

Parallel, Distributed and Network-Based Processing (PDP), 2011 19th Euromicro International Conference on

Date of Conference:

9-11 Feb. 2011

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