Article (Scientific journals)
Biobjective VoIP Service Management in Cloud Infrastructure
Cortes-Mendoza, Jorge; Tchernykh, Andrei; Armenta-Cano, Fermin et al.
2016In Scientific Programming, 14 (5706790:1-5706790:14)
Peer reviewed
 

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Abstract :
[en] 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.
Disciplines :
Computer science
Author, co-author :
Cortes-Mendoza, Jorge
Tchernykh, Andrei
Armenta-Cano, Fermin
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Drozdov
Didelot, Loic
External co-authors :
yes
Language :
English
Title :
Biobjective VoIP Service Management in Cloud Infrastructure
Publication date :
16 August 2016
Journal title :
Scientific Programming
ISSN :
1058-9244
Publisher :
IOS Press
Volume :
14
Issue :
5706790:1-5706790:14
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
FnR Project :
FNR6466384 - Internet Shopping Optimization Project, 2013 (01/03/2014-28/02/2017) - Pascal Bouvry
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