Autonomous Workload Balancing in Cloud Federation Environments with Different Access Restrictions

Amjad, Anas and Sharma, M. and Abozariba, Raouf and Asaduzzaman, Md and Benkhelifa, E. and Patwary, Mohammad (2017) Autonomous Workload Balancing in Cloud Federation Environments with Different Access Restrictions. In: 2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 22-25 October, Orlando. (In Press)

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Abstract

Although federated cloud computing has emerged as a promising paradigm, autonomous orchestration of resource utilization within the federation is still required to be balanced on the basis of workload assignment at a given time. Such potential imbalance of workload allocation as well as resource utilization may lead to a negative cloudburst within the federation. The
analytical models found in the literature do not provide explicit framework to provide dynamic measure of workload requirement within a cloud federation environment. An additional challenge is the adoption of operational restrictions from regulatory body, the federation, or the federation participants. The analytical models presented in this paper have addressed workload balancing within a federated cloud environment under the access control restrictions agreed between federation members. The proposed
analytical models provide a closed form solution for access probability and resource utilization at a given time. The analytical results are evaluated at different degree of security within the cloud federation environment and efficiency of the proposed workload balancing models is demonstrated. The proposed models can be used for cloud services dimensioning to handle high computational demand.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Cloud computing, queuing system, Markov process, performance modeling, workload balancing.
Subjects: G400 Computer Science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Cloud Computing
UoA Collections > UoA11: Computer Science and Informatics
Depositing User: $ Ian McDonald
Date Deposited: 01 Sep 2017 10:23
Last Modified: 01 Sep 2017 10:23
URI: http://www.open-access.bcu.ac.uk/id/eprint/5111

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