Abstract
Security and privacy are key issues in modern cloud computing. This paper focuses on data fragmentation techniques and it shows how these techniques can impact the global performance of a cloud service. Based on Amazon AWS, different fragmentation techniques are implemented and compared for several different types of file; the comparison is extended to AES encryption techniques in order to better evaluate the system performance and better understand potential effects on the overall security of the system. The presented results can be of great importance in the development of multi cloud and Fragmentation as a Service (FaaS) systems, targeting applications like large scale data mining and management.
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Lentini, S., Grosso, E., Masala, G.L. (2018). A Comparison of Data Fragmentation Techniques in Cloud Servers. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-75928-9_50
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DOI: https://doi.org/10.1007/978-3-319-75928-9_50
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