Latin American and Caribbean Consortium of Engineering Institutions

Conference Track:  Information Technology

Selection1:       Paper

Language:         English

Keywords:         IP-Backbone, Evolution, topology generation, Mirror node

Contact Title:     Mr.

Contact First Name: XIANGQIAN

Contact Last Name:  CHEN

University:       F.I.U

Web:              www.fiu.edu

Position:

Country:          USA

Email:            xchen003@fiu.edu

Paper Title: 

Some Node Increase Update approaches based on Traffic Increase in IP-Backbone Network Topology Evolution 

Abstract: 

Followed by the increase of network traffic, IP-Backbone Network topology must be updated to satisfy the traffic increase. Based on traffic increase, we have two basic topology update methods to adapt the traffic increase – node increase update method and update link capacity method. For node increase update method, we provided several node increase algorithms for the evolution of IP-Backbone Network. With simulation we found that: in node increase update method, increasing a node by mirroring the larger burden load nod to evolution in the most burden link has the most efficient evolution result, increasing a node by random select a mirror node in the most burden link has the second efficient result and increasing a node by mirroring the lighter burden load nod to evolution in the most burden link has the worst result. Compare with random topology generation method named [BRITE] in [2], our algorithms has more efficient for topology evolution by adding nodes and links.

Mailing Address: 

700 NW 111TH PL APT 2

MIAMI, FL 33172 

Phone: 

1-305-559-5241 

Other Authors:

Xiangqian Chen, Jian Wang, Kia Makki, Niki Pissinou

presenting:Xiangqian Chen