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

Author

Cesario, Eugenio ; Talia, Domenico

Author_Institution

ICAR-CNR, Rende, Italy

fYear

2011

fDate

9-11 Feb. 2011

Firstpage

70

Lastpage

79

Abstract

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.

Keywords

data mining; fault tolerant computing; grid computing; service-oriented architecture; distributed data mining services; failure handling framework; failure recovery; fault tolerance; grid computing; service-oriented architecture; Algorithm design and analysis; Computational modeling; Computer architecture; Data mining; Data models; Fault tolerance; Fault tolerant systems; Distributed Data Mining; Fault Tolerance; Grid computing;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Ayia Napa

ISSN

1066-6192

Print_ISBN

978-1-4244-9682-2

Type

conf

DOI

10.1109/PDP.2011.50

Filename

5738973