Optimisation of server selection for maximising utility in Erlang-loss systems
Article
Pietowski, M., Vien, Q. and Phan, T. 2019. Optimisation of server selection for maximising utility in Erlang-loss systems. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems. 7 (22), pp. 1-12. https://doi.org/10.4108/eai.24-10-2019.161367
Type | Article |
---|---|
Title | Optimisation of server selection for maximising utility in Erlang-loss systems |
Authors | Pietowski, M., Vien, Q. and Phan, T. |
Abstract | This paper undertakes the challenge of server selection problem in Erlang-loss system (ELS). We propose a novel approach to the server selection problem in the ELS taking into account probabilistic modelling to reflect a practical scenario when user arrivals vary over time. The proposed framework is divided into three stages, including i) developing a new method for server selection based on the M/M/n/n queuing model with probabilistic arrivals; ii) combining server allocation results with further research on utility-maximising server selection to optimise system performance; and iii) designing a heuristic approach to efficiently solve the developed optimisation problem. Simulation results show that by using this framework, Internet Service Providers (ISPs) can significantly improve QoS for better revenue with optimal server allocation in their data centre networks. |
Publisher | EAI |
Journal | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
ISSN | 2410-0218 |
Publication dates | |
Online | 05 Nov 2019 |
30 Nov 2019 | |
Publication process dates | |
Deposited | 06 Nov 2019 |
Accepted | 31 Oct 2019 |
Output status | Published |
Publisher's version | |
Copyright Statement | Copyright © 2019 Maciej Pietowski et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited. |
Digital Object Identifier (DOI) | https://doi.org/10.4108/eai.24-10-2019.161367 |
Language | English |
https://repository.mdx.ac.uk/item/88923
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