Reference : A parallel hybrid evolutionary algorithm for the optimization of broker virtual machi...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/13510
A parallel hybrid evolutionary algorithm for the optimization of broker virtual machines subletting in cloud systems
English
iturriaga, Santiago mailto []
Nesmachnow, Sergio mailto []
Dorronsoro, Bernabe mailto []
El-Ghazali, Talbi mailto []
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
2013
International Conference on P2P, Parallel, Grid, Cloud and Internet Computing
Yes
No
International
978-0-7695-5094-7
The 2-nd International Workshop on Soft Computing Techniques in Cluster and Grid Computing Systems (SCCG), part of the 8th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing
October, 2013
[en] parallel evolutionary algorithms ; scheduling ; cloud computing
[en] This article presents a new parallel hybrid evolutionary
algorithm to solve the problem of virtual machines
subletting in cloud systems. The problem deals with the efficient
allocation of a set of virtual machine requests from customers
into available pre-booked resources from a cloud broker, in
order to maximize the broker profit. The proposed parallel
algorithm uses a distributed subpopulations model, and a
Simulated Annealing operator. The experimental evaluation
analyzes the profit and makespan results of the proposed
methods over a set of problem instances that account for
realistic workloads and scenarios using real data from cloud
providers. A comparison with greedy heuristics indicates that
the proposed method is able to compute solutions with up to
133.8% improvement in the profit values, while accounting for
accurate makespan results.
Researchers
http://hdl.handle.net/10993/13510

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