A QoS-Based Flow Assignment for Traffic Engineering in Software-Defined Networks

Thiruvasakan, Lakshmi Priya; Vien, Quoc-Tuan; Loo, Jonathan; Mapp, Glenford

doi:10.1007/978-3-030-15032-7_64

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…With the continuing growth of a number of applications consuming high bandwidth such as video streaming, online video gaming, etc., the limited spectrum resources would be drained quickly causing serious traffic problems even on very welldesign/maintained networks [2,3]. Prioritising diverse types of traffic based on Quality-of-Service (QoS) is critical to managing the access to resources [4].…”

Section: Introductionmentioning

confidence: 99%

Optimisation of Server Selection for Maximising Utility in Erlang-Loss Systems

Pietowski¹,

Vien²,

Phan³

2020

EAI Endorsed Transactions on Industrial Networks and Intelligen

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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.

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Section: Introductionmentioning

confidence: 99%