Approximation methods for large-scale spatial queueing systems

A partition-based algorithm for clustering large-scale software systems

Clustering techniques are used to extract the structure of software for understanding, maintaining, and refactoring. In the literature, most of the proposed approaches for software clustering are divided into hierarchical algorithms and search-based techniques. In the former, clustering is a process of merging (splitting) similar (non-similar) clusters. These techniques suffered from the drawba...

Queueing Models for Large Scale Call Centers

To my parents and grandparents... iii ACKNOWLEDGEMENTS I am indebted to many people for their help and support during my graduate studies. This thesis would not have been possible without them. First and foremost, I would like to thank my advisors Jim Dai and Amy Ward. I would like to thank Dr. Ward for serving as my principal advisor for the first half of my Ph.D. studies. Dr. Ward provided me...

Large Deviations and Queueing Networks : Methods for

H2 optimal and frequency limited approximation methods for large-scale LTI dynamical systems

Model order reduction over a bounded frequency range is more adapted than the standard H2 approximation whenever the entire frequential behaviour of the large-scale model is not needed or not accurately known. However most of the methods that enable to reduce a model on a limited frequency range are based on the use of weights. Yet their determination is often an issue for engineers. That is wh...

Large Scale Internet Queueing Delay Tomography

Queuing delay tomography of the Internet is mostly a theoretical research topic, and measurements were mainly performed to prove the validity of a certain measurement methods. We propose a large scale Internet tomography survey to map the queueing delay in the European networks in great details, and the rest of the world to a lesser extent. The measurements will be based on the ETOMIC high accu...