Paper Info
Title
Toward maximization of profit and quality of cloud federation: solution to cloud federation formation problem.
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.
Year
DOI
Venue
2019
10.1007/s11227-018-2620-2
The Journal of Supercomputing
Keywords
Field
DocType
Brand value, Cloud computing, Cloud broker, Cloud federation, Quality of service
Cloud federation,Heuristic,Computer science,Quality of service,Provisioning,Linear programming,Optimization problem,Maximization,Distributed computing,Cloud computing
Journal
Volume
Issue
ISSN
75
2
1573-0484
Citations 
PageRank 
References 
4
0.40
28
Authors
4
Name
Order
Citations
PageRank
Benay Kumar Ray1101.19
Avirup Saha2184.71
Sunirmal Khatua312015.00
Sarbani Roy410427.97