Paper Info
Title
Analysis of Consecutive Block-Loss for Streaming Services
Abstract
This paper considers the characteristics of consecutive block loss for streaming services in which a block for a streaming service consists of original data packets and redundant ones generated by forward error correction (FEC). We consider a single-server queueing system with two input processes: a general renewal input process and a Poisson one. The former represents a streaming-packet flow, while the latter is for background traffic multiplexed at the queue. We investigate the dynamics of the system state during the interval from the arrival epoch of the first packet of the block to that of the last one, deriving the block-loss run distribution, i.e., the probability distribution of the number of consecutive block losses. The analytical model is validated by trace-driven simulation experiments. Numerical examples show that the moments of the distribution are significantly affected by the volume of background traffic and the FEC redundancy, rather than the system capacity.
Year
DOI
Venue
2010
10.1109/ICC.2010.5502127
ICC
Keywords
Field
DocType
data packets,statistical distributions,packet flow streaming,trace-driven simulation,streaming services,system capacity,queueing theory,consecutive block-loss analysis,single-server queueing system,general renewal input process,analytical model,video coding,forward error correction,video streaming,probability distribution,telecommunication traffic,video streaming services,degradation,redundancy,markov processes
Forward error correction,Markov process,Computer science,Queue,Network packet,Computer network,Real-time computing,Redundancy (engineering),Queueing theory,Probability distribution,Poisson distribution
Conference
ISSN
ISBN
Citations 
1550-3607
978-1-4244-6402-9
0
PageRank 
References 
Authors
0.34
9
4
Name
Order
Citations
PageRank
Kota Kato100.34
Hiroyuki Masuyama28611.53
Shoji Kasahara321028.10
Yutaka Takahashi46512.25