Data Integrity and Recovery Management Under Peer to Peer Convoluted Fault Recognition Cloud Systems

Abstract

Data is expanding beyond the speed of light and hence a lighting speed devices and networks are required for a better and more reliable system for data storage. Cloud computing is a boon for larger, remote data storage at a virtual location. Cloud computing encounters major challenges such as security, connectivity and backup recovery. In this paper, a novel methodology is proposed and concentrated on backup and recovery management to provide a fault tolerance and recognition cloud system with a higher order of reliability and scalability. The methodology proposes an approach of data segmentation and token generation for data split-up using tailing terminology of appending cloud storage location or addresses. Thus the faulty cloud server missing a location segment is recognized within a smaller broadcasting limit and fetches backup from secure neighboring sources.