Thrasyvoulos SPYROPOULOS

My courses

• NetMod / Fall 2014 - Network Modeling
  • Some of the most interesting systems in today's cyber-world are large networks with complex structure and dynamics. Some examples are the Internet (wired and wireless), online social networks (e.g. Facebook, Twitter), peer-to-peer networks (e.g. Skype, BitTorrent), wireless mesh and sensor networks, etc.
  • This course will teach students how to analyze (a) the structure of large networks, and (b) the performance of dynamic processes over these networks (e.g. routing, broadcasting, searching, virus spread).
  • The end goal is to understand the common underlying properties and their implications for the design of efficient algorithms for large networks.
  • The course consists of three main parts (stochastic processes, complex network models, dynamics over networks) each comprising 3-4 modules. Each module will first introduce the necessary analytical background (e.g. markov chains, scale-free graphs), and then present an application of this theory to a real networking problem drawn from diverse topics in networking (e.g. network traffic analysis, mobility modeling, etc.).