Recently, a paper written by a professor in the Department of Electrical and Computer Engineering at Texas A&M University was selected to appear in the October 2013 Issue of the Institute of Electrical and Electronics Engineers (IEEE) Communication Society Technology News. The paper titled “Avoiding Interruptions – a QoE Reliability Function for Streaming Media Applications, was written by Dr. Srinivas Shakkottai, an assistant professor in the department, along with Ali Parandeh Gheibi, Muriel Médard and Asuman Ozdaglar.
IEEE Communication Society Technology News is an IEEE initiative created to bring the latest and interesting IEEE articles and papers to the attention of ComSoc members, especially those in industry. It makes available a condensed version of papers that they believe will be interesting to a wider audience.
In their paper they discuss how to design optimal algorithms for content streaming to mobile devices. The content to be streamed could be sourced from a number of different servers or access points, some of which could themselves be peer devices. The unreliability of the wireless medium, coupled with heterogeneity of servers implies that the arrival rate of packets would follow some stochastic process. In order to account for this unreliability, it is customary for streaming applications to buffer some packets before playback begins. If the playback buffer is empty at any point, users experience a loss in quality due to interruption in playback. The main goal in their paper is to define and understand the fundamental trade-offs among Quality of user Experience (QoE) metrics in the context of video streaming on mobile devices.
Shakkottai joined the Computer Engineering group in January 2008. He received his M.S. and Ph.D. from the University of Illinois at Urbana-Champaign and was a postdoctoral associate at Stanford University until December 2007. Shakkottai’s research interests center around communication networks, with an emphasis on the Internet.
He has collaborated with several different research centers specializing in both analytical and measurement based approaches. His focus areas include information dissemination networks, pricing models and game theory, congestion control and the measurement and analysis of Internet data. He co-directs the Texas A&M-Droiders smart phone laboratory. Honors include receiving an NSF CAREER Award, a Young Investigator award from the Defense Threat Reduction Agency, as well as research awards from Google and Cisco.
The condensed version of the paper can be found here: