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Bandwidth reallocation approach for optimized data slices distribution over multi cloud storage

Author(s)
SAIF SAAD ALNUAIMI Center for Software Technology and Management, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Malaysia
ELANKOVAN A SUNDARARAJAN Center for Software Technology and Management, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Malaysia
ABDUL HADI ABD RAHMAN Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
Abstract
This paper sheds light on cloud computing and the importance of storing data in multiple clouds. Here it becomes an obvious necessity as when large data is transferred to a single cloud; transmission time becomes excessive. A large data distribution on more than one cloud is better for solving a time-consuming problem. However, some factors affect the transmission process as the speed of data transmission varies from one cloud to another and the size of the Internet data packet provided by the service provider. This paper proposed an optimization method to improve the transmission process and optimally redistribute the data packet to prevent data bottlenecks during transmission. It was evident from the research results that the proposed optimization method for distributing data over several clouds with optimal bandwidth reallocation is 13.58% better when compared with the method of equal distribution of data over several clouds without taking into account the optimal bandwidth reallocation.
Publication Details
Page(s) 6667-6676
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 22, Year: 2022

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Keywords
Multi-Cloud Storage., transmission optimization, Bandwidth Allocation
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