Architectural Framework for Cloud Reliability Model using Fault Tolerance Techniques
Mridula Dhingra1, Neha Gupta2

1Mridula Dhingra, Research Scholar, Faculty of computer applications, Manav Rachna Institute of Research and Studies, Faridabad, India
2Dr. Neha Gupta, Associate Professor, Faculty of Computer, Applications, Manav Rachna Institute of Research and Studies, Faridabad, India.
Manuscript received on 19 August 2019. | Revised Manuscript received on 06 September 2019. | Manuscript published on 30 September 2019. | PP: 515-519 | Volume-8 Issue-11, September 2019. | Retrieval Number: K12860981119/2019©BEIESP | DOI: 10.35940/ijitee.K1286.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Cloud Computing is an essential podium for workable and impracticable users. It achieves high quality reliable services provided to the users via data storage servers. The key challenge in cloud architecture is to run the facilities without any hazel to the users. In today’s world of information technology, most of the applications are real time. The major constraint of the systems used in real time applications is that, they are prone to failure. The failure may be due to the following reasons: a) Failure to complete the task in prescribed time threshold value. b) Failure to achieve prescribed reliability value. Virtualization and Internet-based Cloud computing causes diverse types of failures to occur and so necessity for reliability and availability have turn out to be of vital concern. To ensure reliability and availability of cloud technologies, methods for fault tolerance need to be developed and deployed. The proposed work will focus on adaptive behavior during the assortment of replication and fine-grained check pointing methods for achieving a reliable cloud platform that can grip diverse client requests. In addition to this, the proposed work will also conclude the best suitable fault tolerance scheme to each chosen virtual machine.
Keywords: Cloud Computing, Virtualization, Fault Tolerance, Reliability, Replication, Fine grained check pointing, Reliability Assessment, Decision Mechanism.
Scope of the Article: