A Hybrid Heuristic Approach to Provider Selection and Task Allocation Problem in Telecommunications with Varying QoS Levels

DOI

10.2991/ijcis.2017.10.1.58How to use a DOI?

Keywords

Hybrid GA; telecommunications; provider selection; resource allocation; quality of service (QoS)

Abstract

In this research, we study a cost minimization problem for a firm that acquires capacity from providers to accomplish daily operations on telecommunication networks. We model the related optimization problem considering quality of service and capacity requirements and offer a solution approach based on genetic algorithm (GA). Our model reckons the tradeoff between the network capacity acquisition cost and opportunity cost arise when data transmission quality for real-time tasks manifested at undesired levels. To better represent the related features and complexities, we model both capacity and loss probability requirements explicitly, and then, formulate delay and jitter requirements as level matching constraints. Using an experimental framework, we analyze how optimal behavior of the firm is affected by different price schemes, transmission quality and task distributions. We also compare three GA based heuristic solution approaches and comment on the suitability of them on resource selection and task allocation problems.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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TY  - JOUR
AU  - Nihat Kasap
AU  - Berna Tektaş Sivrikaya
AU  - Hasan Hüseyin Turan
AU  - Dursun Delen
PY  - 2017
DA  - 2017/04/10
TI  - A Hybrid Heuristic Approach to Provider Selection and Task Allocation Problem in Telecommunications with Varying QoS Levels
JO  - International Journal of Computational Intelligence Systems
SP  - 866
EP  - 881
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2017.10.1.58
DO  - 10.2991/ijcis.2017.10.1.58
ID  - Kasap2017
ER  -