Fault Tolerance in Grid Computing by Resource Clustering

Autor:	Miloud Khaldi, Boudjelal Meftah, Mohammed Debakla, Mohammed Rebbah
Rok vydání:	2020
Předmět:	Exploit Computer Networks and Communications Computer science Node (networking) Distributed computing Fault tolerance computer.software_genre Replication (computing) Computer Science Applications Resource (project management) Grid computing Scalability Cluster analysis computer
Zdroj:	International Journal of Internet Technology and Secured Transactions. 10:1
ISSN:	1748-5703 1748-569X
DOI:	10.1504/ijitst.2020.10020944
Popis:	Computational grids have the potential for solving large-scale scientific problems using heterogeneous and geographically distributed resources. At this scale, the characteristics of dynamicity, resource heterogeneity and scalability have made fault tolerance more complex. In this paper, we propose FT-GRC a fault tolerance model that seeks to find the best substitute for the failed node by the clustering of the grid resources. This model is based on dynamic coloured graphs without replication of computer resources. The proposed fault tolerance mechanism uses scoring function to determine the appropriate substitute for each failed node by calculating the performance level of each node, and later exploits clustering to determine optimally the choice of substitute. Experimental results show the efficiency of the scoring method and the gain obtained by looking for the substitutes in the same cluster and then by the research for the nearest substitutes.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79666056fbdc563c4312b3efea5a3c6a https://doi.org/10.1504/ijitst.2020.10020944 Zobrazit plný text záznamu