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Load-Aware Strategies for Cloud-Based VoIP Optimization with VM Startup Prediction
Cortes-Mendoza, Jorge M.; Tchernykh, Andrei; Feoktistov, Alexander et al.
2017In IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2017
Peer reviewed
 

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Keywords :
Cloud computing, Quality of service, Codecs, Servers, Load modeling, Telephone sets, Bandwidth
Abstract :
[en] In this paper, we address cloud VoIP scheduling strategies to provide appropriate levels of quality of service to users, and cost to VoIP service providers. This bi-objective focus is reasonable and representative for real installations and applications. We conduct comprehensive simulation on real data of twenty three on-line non-clairvoyant scheduling strategies with fixed threshold of utilization to request VMs, and twenty strategies with dynamic prediction of the load. We show that our load-aware with predictions strategies outperform the known ones providing suitable quality of service and lower cost. The robustness of these strategies is also analyzed varying VM startup time delays to deal with realistic VoIP cloud environments.
Disciplines :
Computer science
Author, co-author :
Cortes-Mendoza, Jorge M.
Tchernykh, Andrei
Feoktistov, Alexander
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Didelot, Loïc
External co-authors :
yes
Language :
English
Title :
Load-Aware Strategies for Cloud-Based VoIP Optimization with VM Startup Prediction
Publication date :
June 2017
Event name :
IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2017
Event date :
29 May-2 June, 2017
Audience :
International
Main work title :
IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2017
Publisher :
IEEE
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 15 January 2018

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