An Efficient Approach for Fault Tolerant Grid Computing in Distributed Data Mining
Main Article Content
Abstract
Fault tolerance is a key problem in Grid computing in which various kinds of devices are employed In this paper we project an efficient approach to handle failures in DDM services and requirements for fault tolerance in the Grid. This strategy permits user to obtain failure recovery whenever and wherever a crash can happen on a grid node in the network. The implemented Tool has been estimated on a real Grid setting to predict its effectiveness and performance.
Keywords-DDM, Grid, Fault Tolerance, failure handling, failure recovery, crash
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.