Document Type: Original Manuscript
Department of Computer Engineering, University of Isfahan, Isfahan, Iran
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