VoD QAM resource allocation algorithms

被引:0
作者
Gong, Jiong
Reed, David
Shaw, Terry
Vivanco, Daniel
Martin, Jim
机构
[1] Cable Televis Labs Inc, Louisville, CO 80027 USA
[2] Clemson Univ, Dept Comp Sci, Clemson, SC 29631 USA
来源
NETWORKING 2006: NETWORKING TECHNOLOGIES, SERVICES, AND PROTOCOLS; PERFORMANCE OF COMPUTER AND COMMUNICATION NETWORKS; MOBILE AND WIRELESS COMMUNICATIONS SYSTEMS | 2006年 / 3976卷
关键词
VoD; HFC networks; broadband access; capacity planning; congestion control; traffic management & control; traffic modeling & characterization; resource allocation; network modeling & simulation;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a new Quadrature Amplitude Modulation (QAM) resource allocation algorithm for Video on Demand (VoD) when there is a mixture of standard definition (SD) and high definition (HD) video streams. We have developed a simulation model to compare this algorithm with two popular algorithms: the least-loaded algorithm and the most-loaded algorithm. We show that our algorithm, which we call the non-mixing algorithm, performs significantly better than the two existing algorithms by accommodating more streams thereby lowering the blocking probabilities under a range of assum-ptions of peak concurrent usage rate and percentage of HD streams. Using computer simulation we found that the non-mixing algorithm leads to an average of 4.39% higher allowed peak usage rate than the least-loaded and most-loaded algorithms.
引用
收藏
页码:268 / 280
页数:13
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