Performance analysis of TCP connections sharing a congested Internet link

Citation
Ma. Marsan et al., Performance analysis of TCP connections sharing a congested Internet link, PERF EVAL, 42(2-3), 2000, pp. 109-127
Citations number
12
Categorie Soggetti
Computer Science & Engineering
Journal title
PERFORMANCE EVALUATION
ISSN journal
01665316 → ACNP
Volume
42
Issue
2-3
Year of publication
2000
Pages
109 - 127
Database
ISI
SICI code
0166-5316(200010)42:2-3<109:PAOTCS>2.0.ZU;2-G
Abstract
Many Internet channels are today heavily loaded with traffic, most of which is due to TCP connections supporting bursty applications, such as web brow sing. Models that can accurately estimate the performance gains that could be obtained by increasing the link bandwidth are called for to support the Internet design and planning activities. A number of analytical models of t he TCP behavior have been presented in the recent literature. Most of them consider the interaction among TCP connections sharing one bottleneck link, but assume that they behave independently of each other, thus neglecting t he synchronization induced by periods of high loss probability due to buffe r overflows. In this paper, we develop a new model to describe the behavior of a number of TCP connections that share a bottleneck link, considering t he effects of the synchronization among connections. The model is based on Markovian assumptions and on two GSPN (generalized stochastic Petri net) de scriptions of the system. From the two GSPN descriptions, using a fixed poi nt algorithm, several interesting performance metrics referring to the TCP connections can be derived. A validation of our modeling approach is provid ed through extensive comparisons of the model's results with the output of the LBL simulator, "ns version 2", that is known to provide quite detailed descriptions of the dynamics of the Internet protocols. Comparisons show th at our model succeeds in providing an accurate representation of the behavi or of TCP connections under several different settings. (C) 2000 Elsevier S cience B.V. All rights reserved.