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Dan Levin's Publications

QoE-Lab: Towards evaluating Quality of Experience for Future Internet Conditions
Citation key MWULSF-TWQOEFIC-11
Author Mehmood, Amir and Wundsam, Andreas and Uhlig, Steve and Levin, Dan and Sarrar, Nadi and Feldmann, Anja
Title of Book Proceedings of 7th International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TridentCom '11)
Pages 299–314
Year 2011
ISBN 978-1-936968-04-6
Location Shanghai, China
Address Berlin / Heidelberg, Germany
Month April
Publisher Springer
Organization ICST.ORG
Abstract Multimedia applications are currently challenging existing mobile access networks and raise the bar for next generation mobile networks (NGMN), both in terms of network traffic as well as in the expectations of end users about their always-on Internet experience. At the same time, the network and server landscape is getting more complex due to the advent of virtualization and split-architecture networks like OpenFlow. In this heterogeneous environment, quantitative measurements and predication of the user's Quality Of Experience (QoE) require an experimentation environment 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 ``QoE-Lab'', a multi-purpose heterogeneous testbed that supports a variety networking conditions to test future Internet scenarios. QoE-Lab includes 1) NGMN integration, 2) access/backbone network emulation, 3) virtualization components to provide services like flexible high-quality traffic generation, and high-precision cross-layer monitoring. The experiments are provisioned, orchestrated and analyzed by a tool called ExpAuto, used to create different test scenarios, allocate experimental resources and capture data at various layers. The experimental data is automatically analyzed in search for cross-layer interactions that provide insight into relationships between user perception and network performance. We report initial results from our studies, qualitatively indicating that each of discussed components has a significant impact on the QoE.
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