Network Resource Management for Improving Users Quality of experience in Software Defined Network by Weighted Fuzzy Petri-NetMethod
Publish place: Journal of Advances in Computer Research، Vol: 9، Issue: 2
Publish Year: 1397
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JACR-9-2_002
تاریخ نمایه سازی: 20 آذر 1398
Abstract:
The rapid rise in popularity of multimedia applications, such as VoIP, IPTV and Video Conferencing, intensifies the need to consider resource management for user satisfaction. Furthermore, improving Quality of Experience (QoE) in Software Defined Networks (SDNs) services is one of the important issues to be addressed by provisioning optimum resource management. In this paper, resource allocation in SDN is considered to improve user perceived quality in video applications. To this end, an intelligent learning is presented based on Weighted Fuzzy Petri Net decision algorithm for SDN resource management based on QoE assessment. The efficiency of the proposed system is evaluated in special condition by other applications such as FTP, Email, and data base through simulations. The results show that, through the control plane supervision, the proposed algorithm, improves Quality of Experience by decreasing delay, jitters, and bandwidth while preserving throughput in the network.Keywords: Quality of Experience, Resource Management, Software Defined Network, Weighted Fuzzy Petri Net
Keywords:
Quality of Experience (QoE) , Resource Management , Software Defined Network (SDN) , Weighted Fuzzy Petri Net (WFPN)
Authors
Bahman Botshekan
Department of Computer Engineering, University of Isfahan, Isfahan, Iran