Self-Similar Network Traffic and Performance Evaluation

By Kihong Park, Walter Willinger. 2000

1,383 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/271ec3db204d7ac09198f1f7e0ba593571d6bdee

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Partha Pratim Pande
2. Qing-Long Han
3. Yang Xiang
4. Jun Zhang
5. Martin Reisslein
6. Carlos Alberto Kamienski
7. Brett Stanley Feero
8. Piotr Kokoszka

In Electrical and Electronic Engineering

1. Partha Pratim Pande
2. Qing-Long Han
3. Martin Reisslein
4. Brett Stanley Feero
5. Piotr Kokoszka
6. Qing-Long Han
7. Xiaohua Ge
8. Yong He

In Management Information Systems

1. Partha Pratim Pande
2. Brett Stanley Feero
3. E. Nathanael

Citations in the corpus

• On discriminating between long-range dependence and changes in mean (2006, background): “[30] and Paxson and Floyd [38], self-similar processes have also increasingly been used to model certain aspects of computer network traffic; see [36].”
• Detecting and Preventing Cyber Insider Threats: A Survey (2018, background): “By definition, network traffic is the data moving across a network at a given point of time and, in computer networks, are mostly encapsulated in packets [95].”
• Performance evaluation and design trade-offs for network-on-chip interconnect architectures (2005, background): “12 shows the variation of average energy dissipation per packet as a function of the number of virtual channels (the same for both Poisson and self-similar traffic) assuming the networks to be operated at the peak sustainable data rate.”
• MPEG-4 and H.263 video traces for network performance evaluation (2001, background): “These long-range correlations are formally characterized as self-similarity or long-range dependence (LRD) [ 37 , 39].”
• Stochastic properties of the linear multifractional stable motion (2004, background): “See, for example, Leland et al. (1994), Paxson and Floyd (1995), and the collection of papers edited by Park and Willinger (2000) for further references.”
• Networks-on-Chip in a Three-Dimensional Environment: A Performance Evaluation (2009, methodology): “In this work, we assume a self-similar injection process [19], [21], [22], [23].”
• A Survey on Internet Traffic Identification (2009, background): “It is well known that such aggregate traf fi c exhibits long-range dependence (LRD) [33][34] correlations and non-Gaussian marginal distributions.”