Title :
Visualizing Internet Routing Changes
Author :
Lad, Mohit ; Massey, Dan ; Zhang, Lixia
Author_Institution :
Div. of Comput. Sci., California Univ., Los Angeles, CA
Abstract :
Today´s Internet provides a global data delivery service to millions of end users and routing protocols play a critical role in this service. It is important to be able to identify and diagnose any problems occurring in Internet routing. However, the Internet´s sheer size makes this task difficult. One cannot easily extract out the most important or relevant routing information from the large amounts of data collected from multiple routers. To tackle this problem, we have developed Link-Rank, a tool to visualize Internet routing changes at the global scale. Link-Rank weighs links in a topological graph by the number of routes carried over each link and visually captures changes in link weights in the form of a topological graph with adjustable size. Using Link-Rank, network operators can easily observe important routing changes from massive amounts of routing data, discover otherwise unnoticed routing problems, understand the impact of topological events, and infer root causes of observed routing changes
Keywords :
Internet; data visualisation; routing protocols; Internet; data visualization; network visualization; routing protocol; topological graph; Aggregates; Data analysis; Data mining; Data visualization; Graphics; IP networks; Network topology; Routing protocols; Telecommunication traffic; Web and internet services; Internet routing; Network visualization; data analysis; information visualization; interactive graphics; visual mining.; Algorithms; Computer Graphics; Computer Simulation; Information Storage and Retrieval; Internet; Signal Processing, Computer-Assisted; User-Computer Interface;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2006.108