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Performance evaluation of multiple time scale TCP under self-similar traffic conditions (1999)
| Content Provider | CiteSeerX |
|---|---|
| Author | Tuan, Tsunyi Park, Kihong |
| Abstract | Measurements of network tra c have shown that self-similarity is a ubiquitous phenomenon spanning across diverse network environments. In previous work, we have explored the feasibility of exploiting long-range correlation structure in self-similar tra c for congestion control. We have advanced the framework of multiple time scale congestion control and shown its e ectiveness at enhancing performance for rate-based feedback control. In this paper, we extend the multiple time scale control framework to window-based congestion control, in particular, TCP. This is performed by interfacing TCP with a large time scale control module which adjusts the aggressiveness of bandwidth consumption behavior exhibited by TCP as a function of \large time scale " network state, i.e., information that exceeds the horizon of the feedback loop as determined by RTT. How to e ectively utilize such information due to its probabilistic nature, dispersion over multiple time scales, and a ection on top of existing window-based congestion controls is a nontrivial problem. Our contribution is threefold. First, we de ne a modular extension of TCP a function call with a simple interface that applies to various avours of TCP e.g., Tahoe, Reno, Vegas |
| File Format | |
| Journal | ACM Transactions on Modeling and Computer Simulation |
| Publisher Date | 1999-01-01 |
| Access Restriction | Open |
| Subject Keyword | Diverse Network Environment Feedback Loop Bandwidth Consumption Behavior Multiple Time Scale Simple Interface Rate-based Feedback Control Network State Various Avours Multiple Time Scale Congestion Control Probabilistic Nature Self-similar Traffic Condition Network Tra Nontrivial Problem Large Time Scale Control Module Large Time Scale Quot Modular Extension Self-similar Tra Function Call Window-based Congestion Control Congestion Control Ubiquitous Phenomenon Multiple Time Scale Tcp Performance Evaluation Long-range Correlation Structure Multiple Time Scale Control Framework |
| Content Type | Text |
