Abstract
In this paper, we present a novel approach to solve the cloud storage issues and provide a fast load balancing algorithm. Our approach is based on partitioning and dual direction download of the files by multiple cloud servers. Partitions of the files are also saved on the cloud rather than the full files, which provides a good optimization to the cloud storage usage. Partial replication is used in this algorithm to ensure the reliability and availability of the data. Our focus is to improve the performance and optimize the storage usage in providing the DaaS service of the cloud. This algorithm solves the problem of having to fully replicate very large data sets, which uses up a lot of precious space on the cloud servers. Reducing the space needed will help reduce the cost of providing such space. Moreover, performance is also increased since multiple cloud servers will collaborate to provide the data to cloud clients in a faster manner.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
