Adaptive routing approaches of controlling traffic congestion in internet

Zonghua Liu; Ming Tang; P. M. Hui

doi:10.1007/978-3-642-02469-6_27

Adaptive routing approaches of controlling traffic congestion in internet

Zonghua Liu^*
, Ming Tang
, P. M. Hui

^*Corresponding author for this work

School of Physics and Electronic Science

Chinese University of Hong Kong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Different routing strategies may result in different behaviors of traffic in internet. We review the routing strategies developed recently in the field of physics and show that the traffic can be significantly improved by the adaptive routing approaches. Comparing with the shortest path approach, the adaptive routing approaches can reduce the over-loading of hub nodes and thus increase the capacity of network. Especially, for the realistic situation with fluctuated traffic, the local self-adjusting traffic awareness protocol can efficiently reduce the traffic congestion. These results provide new insight in sustaining the normal function of Internet.

Original language	English
Title of host publication	Complex Sciences - First International Conference, Complex 2009, Revised Papers
Pages	1472-1484
Number of pages	13
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-02469-6_27
State	Published - 2009
Event	1st International Conference on Complex Sciences: Theory and Applications, Complex 2009 - Shanghai, China Duration: 23 Feb 2009 → 25 Feb 2009

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Number	PART 2
Volume	5 LNICST
ISSN (Print)	1867-8211

Conference

Conference	1st International Conference on Complex Sciences: Theory and Applications, Complex 2009
Country/Territory	China
City	Shanghai
Period	23/02/09 → 25/02/09

Keywords

Routing strategies
Self-adjusting
Traffic congestion; Shortest path
Traffic in internet

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-02469-6_27

Cite this

Liu, Z., Tang, M., & Hui, P. M. (2009). Adaptive routing approaches of controlling traffic congestion in internet. In Complex Sciences - First International Conference, Complex 2009, Revised Papers (PART 2 ed., pp. 1472-1484). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 5 LNICST, No. PART 2). https://doi.org/10.1007/978-3-642-02469-6_27

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title = "Adaptive routing approaches of controlling traffic congestion in internet",

abstract = "Different routing strategies may result in different behaviors of traffic in internet. We review the routing strategies developed recently in the field of physics and show that the traffic can be significantly improved by the adaptive routing approaches. Comparing with the shortest path approach, the adaptive routing approaches can reduce the over-loading of hub nodes and thus increase the capacity of network. Especially, for the realistic situation with fluctuated traffic, the local self-adjusting traffic awareness protocol can efficiently reduce the traffic congestion. These results provide new insight in sustaining the normal function of Internet.",

keywords = "Routing strategies, Self-adjusting, Traffic congestion; Shortest path, Traffic in internet",

author = "Zonghua Liu and Ming Tang and Hui, \{P. M.\}",

year = "2009",

doi = "10.1007/978-3-642-02469-6\_27",

language = "英语",

isbn = "3642024688",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering",

number = "PART 2",

pages = "1472--1484",

booktitle = "Complex Sciences - First International Conference, Complex 2009, Revised Papers",

edition = "PART 2",

note = "1st International Conference on Complex Sciences: Theory and Applications, Complex 2009 ; Conference date: 23-02-2009 Through 25-02-2009",

}

Liu, Z , Tang, M & Hui, PM 2009, Adaptive routing approaches of controlling traffic congestion in internet. in Complex Sciences - First International Conference, Complex 2009, Revised Papers. PART 2 edn, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, no. PART 2, vol. 5 LNICST, pp. 1472-1484, 1st International Conference on Complex Sciences: Theory and Applications, Complex 2009, Shanghai, China, 23/02/09. https://doi.org/10.1007/978-3-642-02469-6_27

Adaptive routing approaches of controlling traffic congestion in internet. / Liu, Zonghua ; Tang, Ming; Hui, P. M.
Complex Sciences - First International Conference, Complex 2009, Revised Papers. PART 2. ed. 2009. p. 1472-1484 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 5 LNICST, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Liu, Zonghua

AU - Tang, Ming

AU - Hui, P. M.

PY - 2009

Y1 - 2009

N2 - Different routing strategies may result in different behaviors of traffic in internet. We review the routing strategies developed recently in the field of physics and show that the traffic can be significantly improved by the adaptive routing approaches. Comparing with the shortest path approach, the adaptive routing approaches can reduce the over-loading of hub nodes and thus increase the capacity of network. Especially, for the realistic situation with fluctuated traffic, the local self-adjusting traffic awareness protocol can efficiently reduce the traffic congestion. These results provide new insight in sustaining the normal function of Internet.

AB - Different routing strategies may result in different behaviors of traffic in internet. We review the routing strategies developed recently in the field of physics and show that the traffic can be significantly improved by the adaptive routing approaches. Comparing with the shortest path approach, the adaptive routing approaches can reduce the over-loading of hub nodes and thus increase the capacity of network. Especially, for the realistic situation with fluctuated traffic, the local self-adjusting traffic awareness protocol can efficiently reduce the traffic congestion. These results provide new insight in sustaining the normal function of Internet.

KW - Routing strategies

KW - Self-adjusting

KW - Traffic congestion; Shortest path

KW - Traffic in internet

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ER -

Adaptive routing approaches of controlling traffic congestion in internet

Abstract

Publication series

Conference

Keywords

UN SDGs

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