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http://dx.doi.org/10.9709/JKSS.2011.20.1.061

Simulation Analysis of User Grouping Algorithms for Massive Smart TV Services  

Jeon, Cheol (명지대학교 컴퓨터공학과)
Lee, Kwan-Seob (명지대학교 컴퓨터공학과)
Jou, Wou-Seok (명지대학교 컴퓨터공학과)
Jeong, Tai-Kyeong Ted. (명지대학교 전자공학과)
Han, Seung-Chul (명지대학교 컴퓨터공학과)
Publication Information
Journal of the Korea Society for Simulation / v.20, no.1, 2011 , pp. 61-67 More about this Journal
Abstract
Smart TV System will lead to drastic change of communication and media industries as one of the emerging next generation network services. However, when the number of concurrent users increases rapidly, the issue of service quality degradation occurs because providing services to many users simultaneously stresses both the server and the network. The server limitation can be circumvented by deploying server clusters. but the network limitation is far less easy to cope with, due to the difficulty in determining the cause and location of congestion and in provisioning extra resources. In order to alleviate these problems, a number of schemes have been developed. Prior works mostly focus on reducing user-centric performance metrics of individual connection, such as the round-trip time(RTT), downloading time or packet loss rate, but tend to ignore the network loads caused by the concurrent connections or global network load balance. In this work, we make an in-depth investigation on the issue of user grouping for massive Smart TV services through simulations on actual Internet test-bed, PlanetLab.
Keywords
Smart TV; PlanetLab; User grouping algorithm; Network load metrics;
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