CLOUD STORAGE OPTIMIZATION USING EFFICIENT CODING APPROACH

Abstract

To minimize storage overhead, cloud file systems are transitioning from replication to erasure requirements. Cloud storage generally provides different  redundancy configuration to users in order to maintain the required the balance between performance and threshold. Data availability is critical in distributed storage systems, especially when node failures are prevalent in real world. This kind of process has revealed new dimensions on which to evaluate the performance of different coding schemes. This paper introduces a novel cloud storage management which optimally combines storage space resources from multiple providers. Redundancy, security and other impractical properties can be adjusted adequately to the needs of the storage space service consumer. Furthermore, this paper presents an user friendly storage controller implementation with adaptable overhead which operates on and integrates into typical
consumer environments as a central part of an overall storage system. Its optimality claims are validated in real-world situations with several commercial on the internet and cloud storage providers.