We present a novel approach to solve the cloud storage issues and provide a fast load balancing algorithm. Our approach is based\non partitioning and concurrent dual direction download of the files from multiple cloud nodes. Partitions of the files are saved on\nthe cloud rather than the full files, which provide a good optimization to the cloud storage usage. Only partial replication is used\nin this algorithm to ensure the reliability and availability of the data. Our focus is to improve the performance and optimize the\nstorage usage by providing the DaaS on the cloud. This algorithm solves the problem of having to fully replicate large data sets,\nwhich uses up a lot of precious space on the cloud nodes. Reducing the space needed will help in reducing the cost of providing\nsuch space. Moreover, performance is also increased since multiple cloud servers will collaborate to provide the data to the cloud\nclients in a faster manner.
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