Corrections to "How Does TCP Generate Pseudo-Self-Similarity?"
ACM SIGCOMM Computer Communication Review
On the autocorrelation structure of TCP traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Advances in modeling and engineering of Longe-Range dependent traffic
On the autocorrelation structure of TCP traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Advances in modeling and engineering of Longe-Range dependent traffic
On the Contribution of TCP to the Self-Similarity of Network Traffic
IWDC '01 Proceedings of the Thyrrhenian International Workshop on Digital Communications: Evolutionary Trends of the Internet
Crossover scaling effects in aggregated TCP traffic with congestion losses
ACM SIGCOMM Computer Communication Review
A decade of Internet research -- advances in models and practices
BT Technology Journal
Markov models of internet traffic and a new hierarchical MMPP model
Computer Communications
TCP's role in the propagation of self-similarity in the Internet
Computer Communications
| Hi-index | 0.00 |
Considerable attention has recently focussed on the characteristics of network traffic and related issues. In particular, the observation that data traffic in networks exhibits long range dependence or self-similarity has led to a myriad of research efforts in this area. In this paper we show that the TCP protocol can generate traffic with correlation structures over a finite range of timescales that are similar to characteristics observed in Internet traffic. This is independent of application-level characteristics and takes effect under a wide range of network conditions. We point out and analyze two of the mechanisms inside TCP that contribute to this: the exponential timeout back-off and the congestion avoidance. We support our claim using Markovian models that can be numerically analyzed. The models are validated against simulation results and measurements obtained in the Internet.