DocumentCode
1354395
Title
A Performance Modeling Scheme for Multistage Switch Networks With Phase-Type and Bursty Traffic
Author
Yu, Ming ; Zhou, MengChu
Author_Institution
Dept. of Electr. & Comput. Eng., Florida State Univ., Tallahassee, FL, USA
Volume
18
Issue
4
fYear
2010
Firstpage
1091
Lastpage
1104
Abstract
Existing analytical methods to model multistage switch networks cannot be applied to the performance modeling of switch networks with phase-type and bursty traffic because of the problem of state-space explosion and unrealistic assumptions, e.g., uniform traffic and independent destination (UTID). This paper presents an approximate scheme to model and analyze such networks. First, a traffic aggregation technique is proposed to deal with phase-type and bursty traffic, including splitting and merging. For the aggregation of two bursty traffic, a closed-form solution is obtained for buffer state probabilities. For the aggregation of more bursty traffic, a recursive algorithm is derived in terms of the buffer size and number of inputs of a switch. Second, a switch decomposition technique is developed, by which the crossbar of a switch is decomposed from its preceding and succeeding buffers. In this way, a switch network of N inputs and outputs is converted to N tandem queues, for which the performance can be easily evaluated. Our extensive numerical and simulation examples have shown that the proposed scheme achieves satisfied accuracy and computational efficiency.
Keywords
optical switches; packet switching; probability; telecommunication traffic; buffer size; buffer state probability; bursty traffic; merging; multistage switch network; packet switch; phase-type; recursive algorithm; splitting; state-space explosion; switch crossbar; switch decomposition; traffic aggregation; uniform traffic and independent destination; Finite buffer; performance modeling; switch network; traffic modeling;
fLanguage
English
Journal_Title
Networking, IEEE/ACM Transactions on
Publisher
ieee
ISSN
1063-6692
Type
jour
DOI
10.1109/TNET.2009.2036437
Filename
5352328
Link To Document