云服务器上数据碎片技术的性能分析

Nelson L. Santos, Salvatore Lentini, E. Grosso, B. Ghita, G. Masala
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引用次数: 4

摘要

虚拟化和分布式计算的进步使得云范式在用户和资源中变得非常流行。它允许公司节省基础设施和维护成本,并专注于产品开发。然而,这种快速增长的模式也带来了用户的一些担忧,例如数据的完整性和安全性,特别是在用户完全依赖提供商来保护其数据的环境中。本文探讨了不同的技术来分割云上的数据,并防止对数据的未经授权的直接访问。本文探讨了它们在云实例上的性能,其中考虑了执行操作的总时间,包括数据的上传和下载。实验结果表明,碎片化算法比加密算法表现出更好的性能。此外,当将加密与碎片结合使用时,安全性会有所提高,但性能会有所降低。
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Performance analysis of data fragmentation techniques on a cloud server
The advancements in virtualisation and distributed computing have allowed the cloud paradigm to become very popular among users and resources. It allows companies to save costs on infrastructure and maintenance and to focus on the development of products. However, this fast-growing paradigm has brought along some concerns from users, such as the integrity and security of the data, particularly in environments where users rely entirely on providers to secure their data. This paper explores different techniques to fragment data on the cloud and prevent direct unauthorised access to the data. It explores their performance on a cloud instance, where the total time to perform the operation, including the upload and download of the data, is considered. Results from this experiment indicate that fragmentation algorithms show better performance compared to encryption. Moreover, when combining encryption with fragmentation, there is an increase in the security, with the trade-off of the performance.
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