Abstract
The cloud is currently a ubiquitous facility used in global data storage. The cloud technology offers users an ability to store and retrieve data from disparate applications and devices. In order to utilize this data technology efficiently and to reduce the associated costs, we introduce a technique to minimize the space used for data storage. Storing data on a cloud server may not be efficient because multiple uploads of the same file may produce redundant data in the cloud. Currently, this technology is not utilizing matching algorithms which could determine the changes in the new version of a previously uploaded file. Use of such an algorithm could save storage space by only requiring modification of the previous version already stored in the cloud. In this paper we will check several different, and difficult, problems and see what affects the automatic load-balancing and asynchrony have on the speed of resolution of problems.
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Nossire, Z., Dichter, J., Abdelfattah, E., Thompson, S. (2015). Cloud Storage Using Matches Algorithms. In: Elleithy, K., Sobh, T. (eds) New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering. Lecture Notes in Electrical Engineering, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-06764-3_21
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DOI: https://doi.org/10.1007/978-3-319-06764-3_21
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