Network Survivability Analysis Using Easel
Abstract
The survivability of large, complex networks such as the Internet is an increasing concern, but such networks are difficult to analyze because they are topologically complex, highly non-linear in their responses, and inherently unbounded (i.e., no node in the network can have global knowledge). This report will describe how to develop statistically valid networks and, as an example of their use, apply them to the simulation of virus propagation It will illustrate the construction of network topologies with GENeSIS, a program written in the general-purpose programming language Easel. The report will also summarize ongoing significant work in this area and give readers insight into how information or artifacts flow through networks and how networks respond to major disruptions.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 2002
- Accession Number
- ADA413664
Entities
People
- Alan M. Christie
Organizations
- Carnegie Mellon University