Fault Tolerant Architecture to Cloud Computing Using Adaptive Checkpoint

Fault Tolerant Architecture to Cloud Computing Using Adaptive Checkpoint

Ghalem Belalem, Said Limam
ISBN13: 9781466618794|ISBN10: 1466618795|EISBN13: 9781466618800
DOI: 10.4018/978-1-4666-1879-4.ch020
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MLA

Belalem, Ghalem, and Said Limam. "Fault Tolerant Architecture to Cloud Computing Using Adaptive Checkpoint." Cloud Computing Advancements in Design, Implementation, and Technologies, edited by Shadi Aljawarneh, IGI Global, 2013, pp. 280-289. https://doi.org/10.4018/978-1-4666-1879-4.ch020

APA

Belalem, G. & Limam, S. (2013). Fault Tolerant Architecture to Cloud Computing Using Adaptive Checkpoint. In S. Aljawarneh (Ed.), Cloud Computing Advancements in Design, Implementation, and Technologies (pp. 280-289). IGI Global. https://doi.org/10.4018/978-1-4666-1879-4.ch020

Chicago

Belalem, Ghalem, and Said Limam. "Fault Tolerant Architecture to Cloud Computing Using Adaptive Checkpoint." In Cloud Computing Advancements in Design, Implementation, and Technologies, edited by Shadi Aljawarneh, 280-289. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-1879-4.ch020

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Abstract

Cloud computing refers to both the applications delivered as services over the Internet and the hardware and systems software in the datacenters that provide those services. Failures of any type are common in current datacenters, partly due to the number of nodes. Fault tolerance has become a major task for computer engineers and software developers because the occurrence of faults increases the cost of using resources and to meet the user expectations, the most fundamental user expectation is, of course, that his or her application correctly finishes independent of faults in the node. This paper proposes a fault tolerant architecture to Cloud Computing that uses an adaptive Checkpoint mechanism to assure that a task running can correctly finish in spite of faults in the nodes in which it is running. The proposed fault tolerant architecture is simultaneously transparent and scalable.

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