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A Migration Approach for Fault Tolerance in Cloud Computing

A Migration Approach for Fault Tolerance in Cloud Computing

Said Limam, Ghalem Belalem
Copyright: © 2014 |Volume: 6 |Issue: 2 |Pages: 14
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781466654440|DOI: 10.4018/ijghpc.2014040102
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MLA

Limam, Said, and Ghalem Belalem. "A Migration Approach for Fault Tolerance in Cloud Computing." IJGHPC vol.6, no.2 2014: pp.24-37. http://doi.org/10.4018/ijghpc.2014040102

APA

Limam, S. & Belalem, G. (2014). A Migration Approach for Fault Tolerance in Cloud Computing. International Journal of Grid and High Performance Computing (IJGHPC), 6(2), 24-37. http://doi.org/10.4018/ijghpc.2014040102

Chicago

Limam, Said, and Ghalem Belalem. "A Migration Approach for Fault Tolerance in Cloud Computing," International Journal of Grid and High Performance Computing (IJGHPC) 6, no.2: 24-37. http://doi.org/10.4018/ijghpc.2014040102

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Abstract

Cloud computing has become a significant technology and a great solution for providing a flexible, on-demand, and dynamically scalable computing infrastructure for many applications. Cloud computing also presents a significant technology trends. With the cloud computing technology, users use a variety of devices to access programs, storage, and application-development platforms over the Internet, via services offered by cloud computing providers. The probability of failure occur during the execution becomes stronger when the number of node increases; since it is impossible to fully prevent failures, one solution is to implement fault tolerance mechanisms. Fault tolerance has become a major task for computer engineers and software developers because the occurrence of faults increases the cost of using resources. In this paper, the authors have proposed an approach that is a combination of migration and checkpoint mechanism. The checkpoint mechanism minimizes the time lost and reduces the effect of failures on application execution while the migration mechanism guarantee the continuity of application execution and avoid any loss due to hardware failure in a way transparent and efficient. The results obtained by the simulation show the effectiveness of our approaches to fault tolerance in term of execution time and masking effects of failures.

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