Tutorial 3: System-level diagnosis: a stroll through 45 years of research on diagnosable systems
Prof. Elias P. Duarte Jr. (Federal University of Paraná, Brazil)
http://www.inf.ufpr.br/elias

Abstract: The growing complexity and dependability requirements of hardware, software, and networks demand efficient techniques for discovering disruptive behavior in those systems. System-level diagnosis is a realistic approach to detect faulty units based on the outputs of tests and tasks executed by system units. This tutorial presents an introduction to the vast amount of research efforts that have been produced in this field, from the earliest theoretical models to new promising applications. Relevant diagnosis strategies, including comparison-based diagnosis will be presented described. The tutorial aims at clarifying and uncovering the potential of this technology, which can be applied to improve the dependability of diverse complex computer systems.

Short bio: Elias P. Duarte Jr. is Associate Professor at Federal University of Parana (UFPR), Curitiba, Brazil, where he supervised more than 100 dissertations both on the graduate and undergraduate levels. He obtained his Ph.D. in Computer Science from Tokyo Institute of Technology, Japan, 1997, M.Sc. in Telecommunications from the Polytechnical University of Madrid, Spain, 1991, and B.Sc. and M.Sc. in Computer Science from Federal University of Minas Gerais, Brazil, 1987 and 1991, respectively. Research interests include Computer Networks and Distributed Systems, their Dependability Management, and Algorithms. Prof. Elias has chaired and served on the TPC of several conferences and workshops in his fields of interest. He chaired the Special Interest Group on Fault Tolerant Computing of the Brazilian Computing Society (2005-2007); the Graduate Program in Computer Science of UFPR (2006-2008); and is currently chair of the Brazilian National Laboratory on Computer Networks (LARC). He is a member of the Brazilian Computer Society and the IEEE.