Abstract: Distributed cloud servers are composed of processes, located on one or more locations that communicate with one another to offer services to front layer applications. A major difficulty computing paradigm has significantly changed the dimension of risks on user’s applications, specifically because the failures like server overload, network congestion, hardware faults that manifest in the data centers and data is difficult to collect. The thesis proposes an Efficient Geographic Multicast Protocol (EGMP) algorithm requires fault tolerance abilities so that they can overcome the impact of failures and perform their functions correctly when failures happen. In these systems when they are prone to process failures, two distributed computing models have received significant attention, namely, a fault tolerance mechanisms and replication mechanism. The Efficient Geographic Multicast Protocol (EGMP) also supports secure and robust data storage and retrieval, and user forward his data in the storage servers to another user without retrieving the data back. The EGMP locates the data in distributed clouds based on the geographic locations and based on the counts of server. So the complete data will not be present in the single server. It analyzes and suggests suitable locations for the number of copies of a message dispatched to storage servers and the number of storage servers queried by a key server.
Keywords: Cloud computing, fault tolerance as a service, EGMP, storage servers.
Title: Flaw Indulgence in Cloud Computing For Secure Data Transmission
Author: S. Umadevi MCA., M. Geetha MCA., M. Phil
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
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