Rapid advances in large-scale networked computing systems and Internet services raise a critical need for innovative analytical approaches (e.g., queueing, stochastic or other mathematical models) or data-driven models (e.g., data mining or machine learning models) for analyzing and evaluating the performance (not only in terms of speed and resource utilization but also availability and resilience) of such systems and services, both at the individual component levels and the system as a whole. Advanced optimization and control strategies are also called for to improve the overall system performance and tame the scale and complexity of networked systems and Internet applications. Game-theoretical models for understanding the interactions of many co-existing and inter-dependent systems in a competitive and yet cooperative environment are crucial as well. We solicit submissions including theoretical models and analysis as well as (empirical) data-driven analysis providing insights into the performance evaluation, optimization and control issues of real-world networked systems and Internet services.
The area also features performance modeling and analysis work that is building bridges between theory and practice, taking both innovative and established performance models to real networking scenarios and cases.
Bruno Tuffin, INRIA Rennes Bretagne-Atlantique, France
Bruno Tuffin is a Senior Researcher at Inria, Rennes, France. His research interests are two folds: the development Monte Carlo simulation techniques and quasi-Monte Carlo simulation techniques for the performance evaluation of telecommunication systems, and network economics analysis, including game theory.
Markus Fiedler, BTH, Sweden
Markus Fiedler is Professor of Teletraffic Systems. He is interested in teletraffic modelling and analysis, with particular interest in fluid flow models; model matching to measurements; application of performance models to real-life network scenarios; and links towards Quality of Experience.
Sem Borst, Eindhoven University of Technology, The Netherlands, and Nokia Bell Labs, USA
Sem Borst is Professor of Stochastic Operations Research at Eindhoven University of Technology and Member of Technical Staff at Nokia Bell Labs in Murray Hill. His research interests are in the area of performance evaluation models and resource allocation algorithms for large-scale stochastic systems, in particular computer-communication networks.