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Toward a Framework for VM Organisation based on Multi-Objectives
Authors:
Guilherme Arthur Geronimo
Rafael Brundo Uriarte
Carlos Becker Westphall
Keywords: Virtual Machine Placement, Cloud Computing, Multi-Objective Optimisation
Abstract:
This paper proposes a flexible framework to improve the quality of Virtual Machine's placements, in Clouds. It organises them by relocating the VMs based on the Multiple-Objectives of the environment. These Objectives are represented by Rules, Qualifiers, and Costs, which can be extended and prioritised. Based on Evolutionary Searches, the framework theoretically guarantees the adoption of a better set of Placements. More specifically, it seeks the non-dominated solutions (Pareto's Dominance concept) and compares then considering the implementation cost of the scenario and its benefits. In contrast to existing solutions that address specific objectives, our framework was devised to support many types of objectives and to be easily extensible, which enables the implementation of new and generic prioritised elements. Moreover, we conducted experiments using data from a real Cloud environment and show the flexibility of our approach and its scalability.
Pages: 1 to 6
Copyright: Copyright (c) IARIA, 2016
Publication date: February 21, 2016
Published in: conference
ISSN: 2308-4413
ISBN: 978-1-61208-450-3
Location: Lisbon, Portugal
Dates: from February 21, 2016 to February 25, 2016