Abstract
Abstract Increment of mobile client's information request in wireless mobile networks requires a new method to manage and serve the streaming media object. This paper proposes a new object segment grouping method for enhancing the performance of streaming media services in wireless mobile networks. The proposed method performs the similarity metric for the partitioned object segments, and it process the disjunction, conjunction, and filtering for these metrics. This paper was to decided the partitioned group of object segments for these operation metrics, and it decided the performance of streaming media services. The simulation result showed that the proposed method has better performance in throughput, average startup latency, and cache hit ratio. Key Words : Mobile Client, Streaming, Object Segment, Grouping, Similarity * 전북대학교 전자공학부 교수논문접수 : 2012년 4월 25일, 1차 수정을 거쳐, 심사완료 : 2012년 5월 9일 1. Introduction In the wireless mobile network environment, the streaming media service is performed by connecting various mobile devices through the base station. In a wireless mobile network, mobile devices access the wireless network throughput base stations, which are inter-connected by access routers to perform WLANs. For the streaming media service in this environment, managing huge amounts of multimedia data is an important issue [1][2][3]. The reason is because the above environment can utilize efficiently the limited resources and channel bandwidth of wireless networks. Above all, managing and caching popular media object segments at locations close the mobile clients is an effective strategy to improve the quality of streaming media services. Especially, managing streaming media objects at the proxy cache is an attractive approach to reduce network traffic and improve quality of streaming media services, due to the high network bandwidth demand and continuous playback constraints of streaming media applications. To realize this,
Published Version
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