**** MetroGrid workshop : Metrology for Grid Networks **** within the framework of GridNets 2007 International Conference October 17, 2007, Lyon (France) http://gridnets.org/2007/MetroGrid-WS.html Keywords: computing grids, metrology, traffic, statistical inference, signal processing, stochastic modeling, heavy tail distributions, long range dependence, self-similarity, non-stationarity. The constantly increasing interest devoted to grids, both in terms of developments and applications, proves that distributed computing has now attained a sufficient degree of maturity to be considered as a new network paradigm on its own. As a result, it becomes more and more unrealistic to simply transpose to grid contexts, existing mechanisms that were initially thought and developed for different platforms. Grids specificities, such as the cooperating equipments number and heterogeneity, the number of independent processes, the treatments, bandwidth and stock capacities, advocate to revisit the algorithms, as well as the control and operating mechanisms, in order to reach optimal performances. But to succeed, a full comprehension of the dynamics that underly the interacting processes is a prerequisite for tailoring adapted exchange and routing strategies. The same need arose in wide area networks (Internet), that prompted the development of a dedicated metrology activity, leading researchers to resort to statistical analysis and to stochastic modeling of the traffic flows to match versatile theoretical processes. However, nothing guarantees that these models remain valid in a computing grid infrastructure, nor it is proved that traffic flows in grids present the same statistical properties as the ones evidenced with Internet. The workshop will open with two tutorials aimed to sketch a state of the art in metrology, and to highlight similarities and differences between standard (Internet) and grid networks. MetroGrid workshop solicits papers that address all ingredients of a treatment chain, encompassing: - Metrics and Measurements issues o definition of sensible metrics o measuring level (TCP, IP, packet, flow,...) o sampling rates and sub-sampling - Technical considerations o importance of grid topology o instrumentation for acquisition o experimental setups and scenarios - Data processing o time series analysis (LRD, self-similarity, stationarity assessment,...) o statistical inference (Markov models, heavy tail distribution estimation,...) o stochastic modeling (multi-fractals, goodness-of-fit,...) - Impacts on performances o quality of service o resource management o robustness and resilience issues Accepted papers will be published in the GridNets 2007 conference proceedings. Proceedings will be published by ACM and will be available through ACM Digital Library. Papers must be submitted in electronic format following the instructions provided on the MetroGrid web site (http://gridnets.org/2007/) and must be no more than 8 pages in the ACM SIG format. Full paper submission : July 4th, 2007 Notification of acceptance : July 19th, 2007 Camera-ready manuscript due : July 24th, 2007 Program Chairs: P. Abry, P. Borgnat, P. Goncalves, Y. Kadobayashi, F. Ricciato _______________________________________________ Gridnets2007 mailing list Gridnets2007@informatik.uibk.ac.at http://informatik.uibk.ac.at:2081/mailman/listinfo/gridnets2007