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Software-Defined Congestion Control Algorithm for IP Networks
Joint Authors
Zhang, Lianming
Hu, Yao
Peng, Ting
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-27
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The rapid evolution of computer networks, increase in the number of Internet users, and popularity of multimedia applications have exacerbated the congestion control problem.
Congestion control is a key factor in ensuring network stability and robustness.
When the underlying network and flow information are unknown, the transmission control protocol (TCP) must increase or reduce the size of the congestion window to adjust to the changes of traffic in the Internet Protocol (IP) network.
However, it is possible that a software-defined approach can relieve the network congestion problem more efficiently.
This approach has the characteristic of centralized control and can obtain a global topology for unified network management.
In this paper, we propose a software-defined congestion control (SDCC) algorithm for an IP network.
We consider the difference between TCP and the user datagram protocol (UDP) and propose a new method to judge node congestion.
We initially apply the congestion control mechanism in the congested nodes and then optimize the link utilization to control network congestion.
American Psychological Association (APA)
Hu, Yao& Peng, Ting& Zhang, Lianming. 2017. Software-Defined Congestion Control Algorithm for IP Networks. Scientific Programming،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1203373
Modern Language Association (MLA)
Hu, Yao…[et al.]. Software-Defined Congestion Control Algorithm for IP Networks. Scientific Programming No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1203373
American Medical Association (AMA)
Hu, Yao& Peng, Ting& Zhang, Lianming. Software-Defined Congestion Control Algorithm for IP Networks. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1203373
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203373