Managing Multi-Cloud Data Dependability Faults

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Author(s): Mohammed A. AlZain (Taif University, Saudi Arabia), Alice S. Li (La Trobe University, Australia), Ben Soh (La Trobe University, Australia)and Mehedi Masud (Taif University, Saudi Arabia)
Copyright: 2019
Pages: 15
Source title: Knowledge-Intensive Economies and Opportunities for Social, Organizational, and Technological Growth
Source Author(s)/Editor(s): Miltiadis D. Lytras (Effat University, Saudi Arabia), Linda Daniela (University of Latvia, Latvia)and Anna Visvizi (Effat University, Saudi Arabia)
DOI: 10.4018/978-1-5225-7347-0.ch011

Keywords: Education / Educational Technologies / Human Aspects of Technology / Information Science Reference

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Abstract

Cloud computing is considered a great paradigm that enables access to large scale, on demand, flexible computing infrastructure. Lower infrastructure cost and better application performance are some of the benefits of utilizing a cloud computing model. With the appearance of the new generation of multi-cloud computing, clients can benefit from a diversity of services. However, data security has become an important requirement for clients when dealing with clouds that may fail due to faults in the software or hardware, or attacks from malicious insiders. Hence, building a highly dependable and reliable cloud system has become a critical research problem. To that end, this chapter investigates and presents the results in relation to that how Byzantine fault tolerance (BFT) and secure cloud data storage and sharing techniques can be deployed to manage multi-cloud data dependability faults.

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