Skip to Main content Skip to Navigation
Conference papers

A parallel hybrid evolutionary algorithm for the optimization of broker virtual machines subletting in cloud systems

Abstract : 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 make span 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 make span results.
Document type :
Conference papers
Complete list of metadatas

https://hal.inria.fr/hal-00872986
Contributor : Dorronsoro Bernabe <>
Submitted on : Monday, October 14, 2013 - 8:00:25 PM
Last modification on : Thursday, February 21, 2019 - 10:52:49 AM

Links full text

Identifiers

Citation

Santiago Iturriaga, Sergio Nesmachnow, Bernabé Dorronsoro, E.-G. Talbi, Pascal Bouvry. A parallel hybrid evolutionary algorithm for the optimization of broker virtual machines subletting in cloud systems. SCCG 2013 - 2nd International Workshop on Soft Computing Techniques in Cluster and Grid Computing Systems, Oct 2013, Compiegne, France. pp.594-599, ⟨10.1109/3PGCIC.2013.103⟩. ⟨hal-00872986⟩

Share

Metrics

Record views

265