In the recent past, the cloud computing for multi data plays vital role for data transmission, reception and storage with datacenters distributed worldwide. The datacenters give various get/put delays and unit prices for utilization and reservation of resources. The service of cloud storage is highly utilized by various applications such as web applications, online social networks and web portals to give the storage services to the clients throughout the worldwide accessibilities. In the proposed system, we have to estimate the Service Provider (SP), the datacenters, the customers of cloud of world distribution applications such as online social network of data, image and video storage. We have to provide the data to worldwide cloud datacenters to fulfill the application service objective needs, within both data recovery latency and availability. The data and other resources in the cloud data centers connected with various SP to reduce the payment cost. This is possible by applying the optimization technique using Modified Particle Swarm Optimization (MPSO). The MPSO algorithm is used to provide the selection of SP amount various providers with considers various parameters such as latency, data storage space, cost efficiency, bandwidth allocation, throughput, and minimum mean square error of data storage. The experimental results show that the proposed algorithm is provided with high efficiency and accuracy in selecting the SP amount various providers.
Volume 11 | 07-Special Issue
Pages: 1364-1374