JOURNAL OF COMMUNICATIONS (JCM)
ISSN : 1796-2021
Volume : 2 Issue : 1 Date : January 2007
QAM Resource Allocation in Mixed-Format VoD Systems
Jiong Gong, David Reed, Terry Shaw, Daniel Vivanco, and Jim Martin
Page(s): 1-9
Full Text: PDF (423 KB)
Abstract
A Quadrature Amplitude Modulation (QAM) resource allocation algorithm for Video on Demand
(VoD)traffic is presented. Based on stream encoding rates and available system capacity, the
proposed on-line non-mixing algorithm will select the QAM modulator that maximizes system
efficiency in a VoD service group. A discrete event simulator has been developed to compare the
performance
of the proposed algorithm against two commonly deployed algorithms known as the least-loaded
and most-loaded algorithms. Our analysis suggests that the non-mixing algorithm performs better
than the two algorithms under a range of assumptions that take into account peak concurrent usage
rate and traffic mixture composition. We show 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.
Index Terms
VoD, Broadband access, Capacity planning, Congestion control, Traffic modeling, Resource
allocation, Network simulation.
ISSN : 1796-2021
Volume : 2 Issue : 1 Date : January 2007
QAM Resource Allocation in Mixed-Format VoD Systems
Jiong Gong, David Reed, Terry Shaw, Daniel Vivanco, and Jim Martin
Page(s): 1-9
Full Text: PDF (423 KB)
Abstract
A Quadrature Amplitude Modulation (QAM) resource allocation algorithm for Video on Demand
(VoD)traffic is presented. Based on stream encoding rates and available system capacity, the
proposed on-line non-mixing algorithm will select the QAM modulator that maximizes system
efficiency in a VoD service group. A discrete event simulator has been developed to compare the
performance
of the proposed algorithm against two commonly deployed algorithms known as the least-loaded
and most-loaded algorithms. Our analysis suggests that the non-mixing algorithm performs better
than the two algorithms under a range of assumptions that take into account peak concurrent usage
rate and traffic mixture composition. We show 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.
Index Terms
VoD, Broadband access, Capacity planning, Congestion control, Traffic modeling, Resource
allocation, Network simulation.
