| Internet Measurement |
I have been conducting active research on Internet Topology Mapping and published many papers on the subject. I implemented a large scale project (~20 thousand lines of C++ code) named IToM for collecting raw topology information. IToM is a fully customizable, multi-layered platform supporting ICMP/TCP/UDP probing as well as exotic features like record route and source routing in addition to various utilities ranging from multi-threading to synchronization and from network component classes to standalone tools.
At the Advanced Networking and Dependable Systems Laboratory I devised some state-of-the-art tools for end-to-end subnet collection (traceNET), standalone subnet inference (xNET), and IP alias resolution (PalmTree).| Methodological Complex Network Sampling |
My second research area involves developing sampling strategies for complex systems. I implemented ComNetS to analyze and estimate structural characteristics of large scale graphs. ComNetS consists of three modules: (i) components for generating graphs based on various models such as Erdos-Renyi (Random), Watts-Strogatz (Small World), and Barabasi-Albert (Scale Free); (ii) components for sampling graphs using different approaches such as random walk sampling, random path sampling, k-m path sampling, and Metropolis-Hastings sampling; and (iii) components for calculating/estimating structural characteristics of graphs such as clustering coefficient distribution, degree distribution, path length distribution, and density.
You may reach the tools as well as publications on the project web site at http://itom.utdallas.edu
| Secure and Statistically Reliable UDP |
In this project I worked on a statistically reliable and secure communication protocol for extreme wireles environments with colleagues from UNCC. At the heart of the protocol was devising a secure forward error correction (FEC) technique along with an algorithm which meets application tolerable delay and application required reliability over a channel providing less reliability. Based on the observed delay and loss in the channel, our algorithm uses statistical methods to optimize the parameters of the secure FEC while adhering application demanded delay and reliability.
You may reach the publications on the project in my publications list.
| Wikipedia Article & Wikipedian Sampling |
This project has been developed to do extensive research on the wikipedians and wikipedia articles and it is a joint work with SOM at UT-Dallas. It consists of various modules for collecting population, uniform sampling articles and wikipedians as well as stratified sampling of wikipedians based on their countries. Data extraction module extracts almost all useful information from articles including; contributors, contribution times, references, categories, external links, media files, languages etc.
You can download the eclipse project here