2011
DOI: 10.1142/s0219525911003451
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The Dynamics of Internet Traffic: Self-Similarity, Self-Organization, and Complex Phenomena

Abstract: The Internet is the most complex system ever created in human history. Therefore, its dynamics and traffic unsurprisingly take on a rich variety of complex dynamics, selforganization, and other phenomena that have been researched for years. This paper is a review of the complex dynamics of Internet traffic. Departing from normal treatises, we will take a view from both the network engineering and physics perspectives showing the strengths and weaknesses as well as insights of both. In addition, many less cover… Show more

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Cited by 53 publications
(29 citation statements)
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References 183 publications
(290 reference statements)
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“…Internet2 data archives include logs of routing changes in the network issued by its communications protocol, Border Gateway Protocol (BGP) the same protocol used by routers on the Internet [34]. Under BGP, each node sends updates to its neighbors about which routes are most efficient for transmitting data.…”
Section: Internet2mentioning
confidence: 99%
See 1 more Smart Citation
“…Internet2 data archives include logs of routing changes in the network issued by its communications protocol, Border Gateway Protocol (BGP) the same protocol used by routers on the Internet [34]. Under BGP, each node sends updates to its neighbors about which routes are most efficient for transmitting data.…”
Section: Internet2mentioning
confidence: 99%
“…Delays are detected by network routers that read messages from other routers. When delays are detected, BGP messages are sent between routers so that they change their routing tables [34].…”
Section: Internet2mentioning
confidence: 99%
“…Whether those attractors are by design or a byproduct of complexity is not important. Other tools such as graph theory include the ability to assess robustness of the network, or potentially sensitive nodes, using toplogy analysis [50][51][52]. Furthermore, modeling as a graph allows for a topological analysis of the attractors and a qualitative assessment of their stability amongst other mathematical analysis [53,54].…”
Section: From State-based To Attractor-based Systemsmentioning
confidence: 99%
“…From the aspects of timing [6], induction and adaptive control [7], three kinds of control methods are studied separately, and point control is proposed for the reality of urban traffic vehicle, Wire control and surface control [8] [9].…”
Section: Introductionmentioning
confidence: 99%