Research Article
QoE-Lab: Towards Evaluating Quality of Experience for Future Internet Conditions
@INPROCEEDINGS{10.1007/978-3-642-29273-6_22, author={Muhammad Mehmood and Andreas Wundsam and Steve Uhlig and Dan Levin and Nadi Sarrar and Anja Feldmann}, title={QoE-Lab: Towards Evaluating Quality of Experience for Future Internet Conditions}, proceedings={Testbeds and Research Infrastructure. Development of Networks and Communities. 7th International ICST Conference,TridentCom 2011, Shanghai, China, April 17-19, 2011, Revised Selected Papers}, proceedings_a={TRIDENTCOM}, year={2012}, month={5}, keywords={QoE NGMNs OpenFlow virtualization testbed}, doi={10.1007/978-3-642-29273-6_22} }- Muhammad Mehmood
Andreas Wundsam
Steve Uhlig
Dan Levin
Nadi Sarrar
Anja Feldmann
Year: 2012
QoE-Lab: Towards Evaluating Quality of Experience for Future Internet Conditions
TRIDENTCOM
Springer
DOI: 10.1007/978-3-642-29273-6_22
Abstract
Multimedia applications have recently been challenging existing mobile access networks and are raising the bar for next generation mobile networks (NGMN), both in terms of network traffic as well as in the expectations of end users. At the same time, the network and server landscape sees changes due to the advent of virtualization and split-architecture networks like OpenFlow. In this heterogeneous environment, quantitative measurement and prediction of the user’s Quality of Experience (QoE) require testbeds capable of studying these effects combined as well as in isolation, in a controlled and reproducible manner. In this paper, we present the design and architecture of , a multi-purpose heterogeneous testbed that supports a variety of networking conditions to evaluate QoE in future Internet scenarios. QoE-Lab includes 1) NGMN networks, 2) access/backbone network emulation, and 3) virtualization. It provides services like traffic generation, topology emulation and high-precision cross-layer monitoring. The experiments are provisioned, orchestrated and analyzed by a tool called ExpAuto. We analyze the experimental results for relationships between network performance and user perception. We report initial results from our studies, qualitatively indicating that each of the discussed components has a significant impact on the QoE.