A BGP Fast Convergence Mechanism Based on Doubtful Path Judgment

Article Preview

Abstract:

The stability of Border gateway protocol (BGP) are directly related to the performance of the Internet. However, experiments show that BGP has serious slow convergence problem and its performances cannot meet communication needs well. Thus, a BGP fast convergence mechanism based on doubtful path judgment is proposed in this paper. Firstly, by analyzing the relationships between failure paths, doubtful paths containing failure links are computed. Secondly, a policy of doubtful path validity inquiry and its corresponding messages are designed to avoid computing wrong doubtful paths while multiple links fail simultaneously. Meanwhile, in order to avoid the waste of network resources caused by the policy, a finite state machine is designed to handle nodes’ state transitions. Finally, doubtful paths are suppressed to take part in routing decisions in the stage of BGP path exploration and the fast convergence is achieved. The mechanism is implemented on the prototype system, and its validity and practicability are tested. Experiment results show that the mechanism is feasible and effective.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3067-3070

Citation:

Online since:

August 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Xingwei Wang, Hui Cheng, Keqin Li, Jie Li, and Jiajia Sun: Journal of Parallel and Distributed Computing Vol. 73(6) (2013), pp.807-822.

Google Scholar

[2] Xingwei Wang, Jiajia Sun, Hongxing Li, Chuan Wu, Min Huang: Applied Mathematics and Information Sciences Vol. 7(1L) (2013), pp.75-84.

Google Scholar

[3] Xiexiao Min, Xingwei Wang, Zhankao Wen, Min Huang: Journal of Computers Vol. 36(9) (2013), pp.1807-1815, in Chinese.

Google Scholar

[4] Labovitz C, Ahuja A, et al: IEEE/ACM Trans on Networking Vol. 9(3) (2000), pp.293-306.

Google Scholar

[5] Xingwei Wang, Hui Cheng, Min Huang: Engineering Applications of Artificial Intelligence Vol. 26(1) (2013), pp.262-272.

Google Scholar

[6] Dapeng Qu, Xingwei Wang: Journal of Software Vol. 36(7) (2013), pp.1456-1464, in Chinese.

Google Scholar

[7] Wenhua Wang, Qinguo Shen, Yu Song, et al, in: Information, Communication and Automation Technologies, Bosnia (2009), pp.1-7.

Google Scholar

[8] Gill R, Paul R and Trajkovic L, in: Performance Computing and Communications Conference, Austin USA (2012), pp.314-323.

Google Scholar

[9] Xuehui Wu: International Journal of Future Generation Communication and Networking Vol. 6(6) (2013), pp.151-160.

Google Scholar

[10] Lijun Wang, Jianping Wu: Journal of Software Vol. 19(11) (2008), pp.2979-2989, in Chinese.

Google Scholar

[11] Huston G, Rossi M, and Armitage G: IEEE Journal On Selected Areas in Communications Vol 28(8) (2010), pp.1271-1286.

Google Scholar

[12] Jakma P, Lamparter D: IEEE Network Vol. 28(2) (2014), pp.42-48.

Google Scholar