Modeling TCP Startup Performance*

S. Giordano*, M. Pagano, F. Russo, R. Secchi

*Corresponding author for this work

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The paper proposes a Markovian approach to the performance evaluation of the ESSE (early slow start exit) modification of the TCP congestion control mechanism. ESSE takes advantage of estimating the optimal pipesize at the sender side to properly select initial slow start threshold. Previous simulative experiments have shown that ESSE allows one to speed-up TCP connections and significantly reduces the packet drop rate at the bottleneck. This work takes a step further in understanding the ESSE behavior by developing a model of TCP source to evaluate the influence of different settings of slow start threshold on a TCP performance. As confirmed by comparison with simulations, the model provides, significantly faster than simulations, accurate estimates of typical performance indicators such as the average completion time and average drop rate of short-lived TCP connections.

Original languageEnglish
Pages (from-to)424-431
Number of pages8
JournalJournal of Mathematical Sciences (United States)
Volume200
Issue number4
Early online date28 Jun 2014
DOIs
Publication statusPublished - Jul 2014

Fingerprint

Start-up
Performance Indicators
Congestion Control
Completion Time
Modeling
Performance Evaluation
Simulation
Speedup
Evaluate
Model
Estimate
Experiment
Experiments
Influence

ASJC Scopus subject areas

  • Mathematics(all)
  • Applied Mathematics
  • Statistics and Probability

Cite this

Modeling TCP Startup Performance*. / Giordano, S.; Pagano, M.; Russo, F.; Secchi, R.

In: Journal of Mathematical Sciences (United States), Vol. 200, No. 4, 07.2014, p. 424-431.

Research output: Contribution to journalArticle

Giordano, S. ; Pagano, M. ; Russo, F. ; Secchi, R. / Modeling TCP Startup Performance*. In: Journal of Mathematical Sciences (United States). 2014 ; Vol. 200, No. 4. pp. 424-431.
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