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- W4292055497 abstract "Cloud environments are becoming increasingly important for businesses, research laboratories, and even ordinary customers. Because of their many offerings, such a technology has been able to attract a large number of users all over the world. One of the most intriguing cloud computing services is file storage, which entails uploading files to the cloud's data centers and accessing them from anywhere at any time. Because of the large number of users, it is necessary to improve the management of storage space surrounding data centers. Many studies have been conducted to optimise storage space; academics are attempting to develop some complicated compression algorithms without taking into account their execution time or the user's behaviour with a sluggish system. For large amounts of information applications, this article introduces E2FS, an elastic and efficient file storage system. E2FS can scale and proportion up and down the storage system in response to the real-time needs of big data applications. In order to better balance cloud storage performance and progress, cloud storage architecture and the E2FS system are explored. Furthermore, it is compared against DeDu to demonstrate that E2FS outperforms DeDu." @default.
- W4292055497 created "2022-08-17" @default.
- W4292055497 creator A5032466581 @default.
- W4292055497 date "2022-07-20" @default.
- W4292055497 modified "2023-09-25" @default.
- W4292055497 title "Cloud Computing Elastic Storage System for Storage Optimization" @default.
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- W4292055497 doi "https://doi.org/10.1109/icict54344.2022.9850781" @default.
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