Managing Multi-Cloud Data Dependability Faults

Author:

AlZain Mohammed A.1,Li Alice S.2,Soh Ben2,Masud Mehedi1

Affiliation:

1. Taif University, Saudi Arabia

2. La Trobe University, Australia

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.

Publisher

IGI Global

Reference35 articles.

1. RACS

2. Database Management as a Service: Challenges and Opportunities

3. AlZain, M. A. (2014). Data security, data management and performance evaluation in a multi-cloud computing model (PhD thesis). La Trobe University.

4. Byzantine Fault-Tolerant Architecture in Cloud Data Management

5. Multi-Cloud Data Management using Shamir's Secret Sharing and Quantum Byzantine Agreement Schemes

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