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

被引：0

作者：

Cesario, Eugenio ^{[1
]}

Talia, Domenico ^{[2
]}

机构：

[1] ICAR CNR, Arcavacata Di Rende, Italy

[2] Univ Calabria, ICAR CNR, Arcavacata Di Rende, Italy

来源：

PROCEEDINGS OF THE 19TH INTERNATIONAL EUROMICRO CONFERENCE ON PARALLEL, DISTRIBUTED, AND NETWORK-BASED PROCESSING | 2011年

关键词：

Distributed Data Mining; Fault Tolerance; Grid computing; FAULT-TOLERANCE;

D O I：

10.1109/PDP.2011.50

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：70 / 79

页数：10