A Multi-Cloud Storage Environment Dynamic Bandwidth Reallocation For Improved Data Slice Distribution

Abstract

This article examines the advantages of employing many cloud platforms for data storage, alongside providing a comprehensive description of cloud computing. The significance of this matter is indisputable, considering the substantial duration required for the consolidation of such a vast amount of data into a singular cloud platform. When faced with a complex problem requiring significant time for resolution, it is advantageous to transfer a substantial amount of data across different cloud platforms. In addition to variations in transmission rates between different cloud providers, the size of Internet data packets employed by service providers may also play a factor in the transmission process. This study proposes an optimization approach to enhance data transfer and facilitate the optimal distribution of data packets when compared to a method that evenly distributed data across various clouds without considering optimal bandwidth allocation. This observation arises from the recognition that a strategy involving the uniform distribution of data over numerous cloud platforms fails to account for the optimal exploitation of the existing bandwidth.