SDQ: enabling rapid QoE experimentation using Software Defined Networking

Fawcett, Lyndon; Mu, Mu; Broadbent, Matthew; Hart, Nicholas; Race, Nicholas

Abstract

The emerging network paradigm of Software Defined Networking (SDN) has been increasingly adopted to improve the Quality of Experiences (QoE) across multiple HTTP adaptive streaming (HAS) instances. However, there is currently a gap between research and reality in this field. QoE models, which offer user-level context to network management processes, are often tested in a simulation environment. Such environments do not consider the effects that network protocols, client programs, and other real world factors may have on the outcomes. Ultimately, this can lead to models not functioning as expected in real networks. On the other hand, setting up an experiment that reflects reality is a time consuming process requiring expert knowledge. This paper shares designs and guidelines of an SDN experimentation framework (SDQ), which offers rapid evaluation of QoE models using real network infrastructures.

Citation

Fawcett, L., Mu, M., Broadbent, M., Hart, N., & Race, N. (2017). SDQ: enabling rapid QoE experimentation using Software Defined Networking. In 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) (656-659). https://doi.org/10.23919/INM.2017.7987353

• Conference Name: 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)
• Conference Location: Lisbon, Portugal
• Start Date: May 8, 2017
• End Date: May 12, 2017
• Online Publication Date: Jul 24, 2017
• Publication Date: 2017
• Deposit Date: Mar 10, 2022
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 656-659
• Book Title: 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)
• DOI: https://doi.org/10.23919/INM.2017.7987353
• Keywords: Software Defined Networking, Quality of Experience, Experimentation, Adaptive Streaming
• Public URL: http://researchrepository.napier.ac.uk/Output/2844021