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Erschienen in:
2022 | OriginalPaper | Buchkapitel
Design and Implementation of Hadoop-Based Campus Cloud Drive
verfasst von : Lei Xiang, Qi He, Zhuo Li, Jun Guo
Erschienen in: Advances in Artificial Intelligence and Security
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Abstract
Campus network users have an increasing demand for file storage and sharing, and the traditional storage and sharing methods cannot adapt to this demand. This study proposes a campus network cloud disk system based on cloud storage, which uses a network asynchronous communication mode to cope with the high load of user concurrency. Besides, the file hashing algorithm is used to solve the problem of multiple copies of files stored on the network, which enables multiple users to share one copy. Symmetric key algorithm is used for file sharing and inexpensive distributed storage is used to facilitate storage space expansion. Finally, Hadoop technology is used for implementation. This campus network cloud disk system adapts to the characteristics of high network bandwidth and low egress bandwidth of campus network, and solves the problem of remote file storage and sharing for teachers and students.