Optimisation of Server Selection for Maximising Utility in Erlang-Loss Systems
- Resource Type
- Authors
- Maciej Pietowski; Truong Khoa Phan; Quoc-Tuan Vien
- Source
- EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 7, Iss 22 (2020)
- Subject
- Queueing theory
lcsh:Computer engineering. Computer hardware
Computer Networks and Communications
Heuristic
Computer science
business.industry
Distributed computing
Quality of service
Probabilistic logic
utility function
lcsh:TK7885-7895
Erlang (unit)
Computer Science Applications
lcsh:TA168
server selection
Control and Systems Engineering
lcsh:Systems engineering
Revenue
Data center
erlang-loss system (els)
business
Selection (genetic algorithm)
Information Systems
- Language
- English
- ISSN
- 2410-0218
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.