Seminarium Instytutu Informatyki

prelegent

M.Małek

Instytutu Informatyki zaprasza na seminarium w środę 25 maja 2016 r. o godzinie 12:15 w Audytorium Centralnym. Referat pt. "Data-Driven Modeling for Failure Prediction and Realistic Network Topologies Generationwygłosi profesor Mirosław Małek z Università della Svizzera italiana. Serdecznie zapraszamy wszystkich zainteresowanych. Poniżej autorskie streszczenie referatu oraz krótka notka biograficzna.

We introduce three major “tyrants,” namely, complexity, time, and uncertainty, and conclude that because of them dependability is and will continue to be a permanent challenge. We argue that with current complexity levels and necessity of dealing with time, in addition to classical synthesis and analysis methods, we need to turn to empirical data-driven approaches using data analytics to proactive fault management which require monitoring, online measurement, online analysis, diagnosis, failure prediction and decision making to support recovery and nonstop computing and communication. To illustrate such approaches two case studies are presented: In the first case study, we address the problem of proactive fault management by demonstrating how runtime monitoring, variable selection and model re-evaluation lead to effective failure prediction. We also present the quality analysis of such prediction to determine whether it results in dependability gain. The second case study illustrates how by observation and measurement a generator for realistic topologies of ad hoc networks has been developed. A number of topology generation algorithms for simulation of wireless multi-hop networks have been proposed but as shown in literature most of the existing node placement models create topologies that are considerably different from topologies of real networks. In order to address this issue we have developed a novel node placement algorithm - NPART that creates topologies that resemble the real networks and helps in resilience analysis. Finally, we conclude that models derived from monitoring and measurement will continue gaining on significance and impact and list the major challenges for empirical research on dependability. 
Nota biograficzna:
Miroslaw Malek is Director of Advanced Learning and Research Institute (ALaRI) on the Faculty of Informatics at the University of Lugano. Until September 2012 he was professor and holder of Chair in Computer Architecture and Communication at the Department of Computer Science at the Humboldt University in Berlin. His research interests focus on dependable architectures and services in parallel, cloud, distributed, cyber-physical and embedded computing environments including failure prediction and service availability. He has participated in two pioneering parallel computer projects, contributed to the theory and practice of parallel network design, developed the comparison-based method for system diagnosis, codeveloped comprehensive WSI and networks testing techniques, proposed the consensus-based framework for responsive (fault-tolerant, real-time) computer systems design and has made numerous other contributions, reflected in over 250 publications and nine books.
He has supervised 27 Ph.D. dissertations and three habilitations (ten of his students are professors) and founded, organized and co-organized numerous workshops and conferences. He served and serves on editorial boards of several journals including ACM Computing Surveys and is consultant to government and companies on technical and strategic issues in information technology. Malek received his PhD in Computer Science from the Technical University of Wroclaw in Poland, spent 17 years (1977-1994) as professor at the University of Texas at Austin and was also, among others, visiting professor at Stanford, Universita di Roma “La Sapienza”, Politecnico di Milano, Keio University, Technical University in Vienna, New York University, Chinese University of Hong Kong, and guest researcher at Bell Laboratories and IBM T.J. Watson Research Center.

Last modified: Thursday, May 5, 2016 - 12:02:09 PM, Bożenna Skalska

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