Indian Journal of Science and Technology

Abstract

Background/Objectives: The main objective of this project is to identify and overcome those frequently occurring cloud computing failures and in turn maintaining the integrity of the system. Methods/Statistical analysis: Nowadays, predominantly existing failures are component failure, network failure and security issues. A practical problem is considered, that occurs frequently in our system, and the results also confirm that the downtime can be shortened even if failure occurs. In this paper a new mechanism is introduced namely CFTM (Collaborative Fault Tolerant Mechanism) to overcome these failures in the cloud environment. Results: The CFTM provides with authentication to the users who upload their data into the cloud. By fragmenting and replicating them into the virtual storages, there is least chance of data loss in the server end even when there is a system component failure in the server side that will result in the data that are stored. Therefore, the CFTM (Collaborative Fault Tolerant Mechanism) provides the user with reliability, availability and throughput. Collaboration of authentication and data recovery is the key feature of CFTM. It makes sure that the integrity, reliability and the scalability of the data that the user handles over the cloud server are enhanced and maintained. The CFTM works greatly on a smaller scale meaning that it will deal with systems that are under a smaller sized network. Since the mechanism revolves around basic techniques of computing, this mechanism can be applied to any bigger network. Conclusion/Application: The Collaborative Fault Tolerance Mechanism is a successful mini scale fault tolerance mechanism that provides effective cloud service to the user. CFTM can be applied to any cloud related system.
Keywords: Availability, CFTM, Dynamic, Fault-Tolerance, Reliability