Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
TCP/IP illustrated (vol. 1): the protocols
TCP/IP illustrated (vol. 1): the protocols
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Proof of a fundamental result in self-similar traffic modeling
ACM SIGCOMM Computer Communication Review
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Data networks as cascades: investigating the multifractal nature of Internet WAN traffic
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Comparative performance analysis of versions of TCP in a local network with a lossy link
IEEE/ACM Transactions on Networking (TON)
On estimating the intensity of long-range dependence in finite and infinite variance time series
A practical guide to heavy tails
On the relevance of long-range dependence in network traffic
IEEE/ACM Transactions on Networking (TON)
Modeling TCP Reno performance: a simple model and its empirical validation
IEEE/ACM Transactions on Networking (TON)
On the propagation of long-range dependence in the Internet
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Fitting Mixtures of Exponentials to Long-Tail Distributions to Analyze Network Performance Models
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
On the relationship between file sizes, transport protocols, and self-similar network traffic
ICNP '96 Proceedings of the 1996 International Conference on Network Protocols (ICNP '96)
TCP Congestion Control and Heavy Tails
TCP Congestion Control and Heavy Tails
On the Autocorrelation Structure of TCP Traffic TITLE2:
On the Autocorrelation Structure of TCP Traffic TITLE2:
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Recent research has shown the presence of self-similarity in TCP traffic which is unaffected by the application level and human factors. This suggests the presence of protocol level contributions to network traffic self-similarity, at least in certain time scales where the effect of protocol behavior is most prominent. In this paper we show how TCP's retransmission and congestion control mechanism contributes to the self-similarity of aggregate TCP flows. We develop a mathematical formulation which shows that TCP's retransmission and congestion control mechanism results in packet dynamics of a TCP flow being analogous to a number of ON/OFF sources with OFF periods taken from a heavy tailed distribution. Using well known limit theorems, we then show that this contributes to the self-similar nature of TCP traffic. Our model shows a direct correlation of the loss rates to the degree of self-similarity. Measurements on traces collected by us also exhibit this relationship predicted by our model.