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An Adaptive Fast Expansion, Loading Statistics with Dynamic Swapping Algorithm to Support Real Time Services over CATV Networks  

Lo Chih-Chen, g (Department of Computer Science, National ChungHsing University)
Lai Hung-Chang (Department of Computer Science, National ChungHsing University)
Chen, Wen-Shyen E. (Department of Computer Science, National ChungHsing University)
Publication Information
Abstract
As the community antenna television (CATV) networks becomes ubiquitous, instead of constructing an entirely new broadband network infrastructure, it has emerged as one of the rapid and economic technologies to interconnecting heterogeneous network to provide broadband access to subscribers. How to support ubiquitous real-time multimedia applications, especially in a heavy traffic environment, becomes a critical issue in modern CATV networks. In this paper, we propose a time guaranteed and efficient upstream minislots allocation algorithm for supporting quality-of-service (QoS) traffic over data over cable service interface specification (DOCSIS) CATV networks to fulfill the needs of realtime interactive services, such as video telephony, video on demand (VOD), distance learning, and so on. The proposed adaptive fast expansion algorithm and the loading statistics with dynamic swapping algorithm have been shown to perform better than that of the multimedia cable network system (MCNS) DOCSIS.
Keywords
Cable modem; collision avoidance; community antenna television (CATV) networks; contention resolution; data over cable service interface specification (DOCSIS); hybrid fiber coaxial (HFC);
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