A Channel Management Framework to Construct User Preferred Fast Channel Change Stream in IPTV ⋆ Md. Mamun-Or-Rashid, Dae Sun Kim, and Choong Seon Hong ⋆⋆ Department of Computer Engineering Kyung Hee University Seocheon, Giheung, Yongin, Gyeonggi, 446-701 Korea {mamun,dskim,cshong}@khu.ac.kr Abstract. This paper proposes an effective channel management frame- work which analyzes the user channel surfing behavior and constructs fast channel change stream consisting of user preferred channels. The usual channel delay is obliterated if the user requested channel is found at the Set-Top-Box (STB). Keywords: IPTV Channel Change, Channel Management. 1 Introduction IPTV is one of the most upcoming killer applications among the next generation Internet applications. Due to the bandwidth constraint of access network it is impossible to supply all channels to the user premises (i.e. STB). Therefore channel zapping delay is inevitable if the channel is not fount at STB. There are two major strategies ”(i) to increase the number of I-frames to reduce decoding delay [1][4] and (ii) to ensure channel availability at STB [2][3]” observed in the contemporary research works to reduce channel zapping delay. Considering usual the notion of human being, it is very evident that user’s choice in a locality does not vary rapidly. Therefore, ensuring the availability of user preferred channels at STB certainly reduces channel zapping delay. In this paper we propose a framework to acquire channel surfing behavior and an algorithm to mine user preferred channel sequence to reduce channel zapping delay. 2 Proposed Channel Management Framework Our basic idea (Fig. 1(a)) is to supply as many channels as possible at the STB based on available bandwidth. To analyze users channel surfing behavior and to prepare the list of preferred channels we need (i) a data collection framework and (ii) channel mining algorithm. ⋆ This research was supported by the MKE under the ITRC support program super- vised by the IITA” (IITA-2008-(C1090-0801-0002)). ⋆⋆ Corresponding author. Y. Ma, D. Choi, and S. Ata (Eds.): APNOMS 2008, LNCS 5297, pp. 462–465, 2008. c  Springer-Verlag Berlin Heidelberg 2008