Efficient Resource Mapping by means of Storage Tiering using RAID in Cloud

Recent Technologies that reach end users are those which provide services for all their needs. Cloud computing is a technology where service is provided for all end user’s needs and requests. As we move deeper into an era in which data usage and the storage capacity are increased double year by year, some of the major companies are mainly concentrated on demand storage option like cloud storage. Cloud Storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications without the burden of local hardware and software management. Cloud Storage Systems commonly use replication of stored data sets to ensure high reliability and availability. However, the high storage overhead of replication becomes increasingly unacceptable with the explosive growth of data stored in cloud. The objective of this work is to afford Imaginative cloud storage with well-designed Cloud RAID mechanism which should achieve the right tradeoffs between storage efficiency, performance, and reliability. As there exists no widelyaccepted methods for Cloud RAID, we present a new breed of storage solutions, which are featured – rich RAID arrays that provide highly optimized I/O processing capabilities. These storage systems are configured with a large amount of memory (Cache) and multiple I/O paths and use sophisticated algorithms to meet the performance sensitive applications. Index Terms – Cloud Computing, Storage Tiering, Thin Provisioning, RAID, LUN Masking, Sub LUN Tiering, Storage Performance, Hybrid Clustering Algorithm.