Optimized Retrieval of Data from Cloud using Hybridization of Bellstra Algorithm

Vast volumes of data may be stored efficiently and affordably on the cloud. The data's true worth rests in the capacity to rapidly and effectively access it when we need it. In cloud computing, data retrieval is essential since data are usually shared by several data centers making it difficult to assure the great performance and most systematic use of resources. In this proposed paper a novel approach has been introduced to optimized retrieval of data from cloud is proposed. Hybridized Dijkstra and Bellman-ford algorithms has used for optimal retrieval of data. Here, nodes represent places where data is stored and edges for the network connections that connect them. Then the shortest distance has been calculated even with negative weighted edges and data are retrieved. The proposed algorithm has an enhanced performance when compared to Binary search and BTree.