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Scientific Programming - Volume 2016 2016, Article ID 5706790, 14 pages -

Research Article

CICESE Research Center, Ensenada, BC, Mexico

University of Luxembourg, Luxembourg City, Luxembourg

Moscow Institute of Physics and Technology, Moscow, Russia

MIXvoip S.A., Steinsel, Luxembourg

Received 22 January 2016; Revised 3 July 2016; Accepted 16 August 2016

Academic Editor: Ligang He

Copyright © 2016 Jorge M. Cortés-Mendoza et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Voice over Internet Protocol VoIP allows communication of voice and-or data over the internet in less expensive and reliable manner than traditional ISDN systems. This solution typically allows flexible interconnection between organization and companies on any domains. Cloud VoIP solutions can offer even cheaper and scalable service when virtualized telephone infrastructure is used in the most efficient way. Scheduling and load balancing algorithms are fundamental parts of this approach. Unfortunately, VoIP scheduling techniques do not take into account uncertainty in dynamic and unpredictable cloud environments. In this paper, we formulate the problem of scheduling of VoIP services in distributed cloud environments and propose a new model for biobjective optimization. We consider the special case of the on-line nonclairvoyant dynamic bin-packing problem and discuss solutions for provider cost and quality of service optimization. We propose twenty call allocation strategies and evaluate their performance by comprehensive simulation analysis on real workload considering six months of the MIXvoip company service.





Autor: Jorge M. Cortés-Mendoza, Andrei Tchernykh, Fermin A. Armenta-Cano, Pascal Bouvry, Alexander Yu. Drozdov, and Loic Didelot

Fuente: https://www.hindawi.com/



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