The aim of this paper is to provide a summary and a critique of power law modelling in the internet. Long-range dependence and self-similarity are considered as well as scale-free topology analysis.
This paper creates software models of how P2P network topologies could wire up. It considers the possible strategies such as connecting to close nodes, connecting to random links and so on. Resilience and delay are considered.
This presentation is very like the presentation at Southampton a few months previously. It describes the current incarnation of the Framework for Evolving Topology Analysis.
This paper is the first to describe FETA a process for analysing stochastic models for graph evolution.
This paper describes FETA a method for analysing the likelihood of a particular network topology growing from a given statistical model.