Welcome!
To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
My Menu
Saved Items

A Scalable Architecture for Monitoring and Visualizing Multicast Statistics

Prashant RajvaidyaContact Information, Kevin C. AlmerothContact Information and Kim ClaffyContact Information

(6)  Department of Computer Science, University of California, Santa Barbara
(7)  Cooperative Association for Internet Data Analysis, University of California, San Diego
Abstract
An understanding of certain network functions is critical for successful network management. Managers must have insight into network topology, protocol performance and fault detection/isolation. The ability to obtain suchin sight is even more critical when trying to support evolving technologies. Multicast is one example of a new network layer technology and is the focus of this paper. For multicast, the pace of change is rapid, modifications to routing mechanisms are frequent, and faults are common. In this paper we describe a tool, called Mantra, we have developed to monitor multicast. Mantra collects, analyzes, and visualizes network-layer (routing and topology) data about the global multicast infrastructure. The two most important functions of Mantra are: (1) monitoring multicast networks on a global scale; and (2) presenting results in the form of intuitive visualizations.

Contact Information Prashant Rajvaidya
Email: prash@cs.ucsb.edu

Contact Information Kevin C. Almeroth
Email: almeroth@cs.ucsb.edu

Contact Information Kim Claffy
Email: kc@caida.org
Fulltext Preview (Small, Large)
Image of the first page of the fulltext

References secured to subscribers.



Export this chapter
Export this chapter as RIS | Text
 
Remote Address: 38.107.191.105 • Server: mpweb23
HTTP User Agent: CCBot/1.0 (+http://www.commoncrawl.org/bot.html)