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The Journal of Supercomputing
Published in: The Journal of Supercomputing 2/2019

26-09-2018

Toward maximization of profit and quality of cloud federation: solution to cloud federation formation problem

Authors: Benay Kumar Ray, Avirup Saha, Sunirmal Khatua, Sarbani Roy

Published in: The Journal of Supercomputing | Issue 2/2019

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Abstract

The emergence of cloud computing has led to an astronomical growth in the computing services provided by vendors over the cloud interface. This has led to the paradigm of cloud federations where a group of CSPs collaborate to form a federation for seamless provisioning of resource requests. In this paper, cloud federation formation framework is modeled as a multi-objective optimization problem with the trade-off between profit and QoS. Federation formation algorithms try to maximize the federation profit while maintaining a balance between the QoS and the profit of the members of the federation. We have applied Linear Scalarization as well as \(\varepsilon \)-constraint method to find the pareto-optimal solution to this multi-objective optimization problem. A heuristic-based algorithm for cloud federation formation following the integer linear program is proposed. We perform extensive experiments to investigate the performance of our proposed mechanism and show that our proposed mechanism yields optimized solution to the general problem of profit/QoS trade-off.
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Metadata
Title
Toward maximization of profit and quality of cloud federation: solution to cloud federation formation problem
Authors
Benay Kumar Ray
Avirup Saha
Sunirmal Khatua
Sarbani Roy
Publication date
26-09-2018
Publisher
Springer US
Published in
The Journal of Supercomputing / Issue 2/2019
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-018-2620-2

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