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A Scalable Architecture for Monitoring and Visualizing Multicast Statistics
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A Scalable Architecture for Monitoring and Visualizing Multicast Statistics
Prashant Rajvaidya6 , Kevin C. Almeroth6 and Kim Claffy7 
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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.
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