Article (Scientific journals)
Configurable Cost-Quality Optimization of Cloud-based VoIP
Tchernykh, Andrei; Cortes-Mendoza, Jorge M.; Bychkov, Igor et al.
2019In Journal of Parallel and Distributed Computing, 133, p. 319-336
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Keywords :
call allocation; scheduling; voip
Abstract :
[en] In this paper, we formulate configurable cloud-based VoIP call allocation problem as a special case of dynamic multi-objective bin-packing. We consider voice quality influenced by CPU stress, cost contributed by the number of billing hours for Virtual Machines (VMs) provisioning, and calls placed on hold due to under-provisioning resources. We distinguish call allocation strategies by the type and amount of information used for allocation: knowledge-free, utilization-aware, rental-aware, and loadaware. We propose and study a variety of strategies with static and dynamic policies of VM provisioning. To study realistic scenarios, we consider startup delays for VM provisioning, and three configurable parameters: utilization threshold, rental threshold, and prediction interval. They can be configured and dynamically adapted to cope with different objective preferences, workloads, and cloud properties. We conduct comprehensive simulation on the real workload of the MIXvoip company and show that the proposed strategies outperform ones currently in-use.
Disciplines :
Computer science
Author, co-author :
Tchernykh, Andrei
Cortes-Mendoza, Jorge M.
Bychkov, Igor
Feoktistov, Alexander
Didelot, Loic
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Radchenko, Gleb
Borodulin, Kirill
External co-authors :
yes
Language :
English
Title :
Configurable Cost-Quality Optimization of Cloud-based VoIP
Publication date :
2019
Journal title :
Journal of Parallel and Distributed Computing
ISSN :
1096-0848
Publisher :
Elsevier, Atlanta, Georgia
Volume :
133
Pages :
319-336
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust
Available on ORBilu :
since 25 January 2020

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