Date: Friday, September 8, 2017
Prof. Poul E. Heegaard, (poul.heegaard@ntnu.no)
NTNU (Norwegian University of Science and Technology), Department of Information Security and Communication Technology
Prof. Kishor S. Trivedi (ktrivedi@duke.edu)
Duke University, Pratt School of Engineering, Elect. & Comp. Eng. Dept.,
The goal of this tutorial is to provide an introduction to the concept and definition of survivability and to demonstrate approaches to model and quantify survivability in networks. In our tutorial we define survivability as the “ability to provide services in compliance with the requirement even in presence of major and minor failures in network infrastructure and service platforms caused by undesired events that might be external or internal”. The network survivability is quantified as defined by the ANSI T1A1.2 committee, which is the transient performance from the instant an undesirable event occurs until steady state with an acceptable performance level is attained. Examples are taken from the survivability of mobile networks and virtual connection over an IP network as well as from smartgrid
Poul E. Heegaard is Professor at NTNU (Norwegian University of Science and Technology), Department of Telematics (Department of Information Security and Communication Technology from Jan 1, 2017). Heegaard has since 2006 been on the faculty at NTNU, and was Head of Department 2009-2013. He has also been a Senior Research Scientist at Telenor R&I, and Senior Scientist at SINTEF Telecom and Informatics.
Heegaard is the author/co-author of more than 150 articles and has supervised 9 PhDs. He has given numerous tutorial and talks at international meetings and conferences. His research interests cover performance, dependability and survivability evaluation and management of communication systems. Special interest has been rare event simulation techniques, and monitoring, routing and management in dynamic networks. His current research focus is on performance, dependability and survivability in interacting complex systems, which includes distributed, autonomous and adaptive management and routing in communication networks and services. Examples are Software Defined Networking and ICT-power system integration (Smart Grid).
Kishor S. Trivedi holds the Hudson Chair in the Department of Electrical and Computer Engineering at Duke University, Durham, NC. He has been on the Duke faculty since 1975. He is the author of a well-known text entitled, Probability and Statistics with Reliability, Queuing and Computer Science Applications, published by Prentice-Hall; a thoroughly revised second edition (including its Indian edition) of this book has been published by John Wiley. He has also published three other books. He is a Life Fellow of the IEEE, and a Golden Core Member of IEEE Computer Society. He is the recipient of IEEE Computer Society Technical Achievement Award for his research on Software Aging and Rejuvenation. World Scientific has listed him in the top 100 computer scientists worldwide based on the h-index.
Trivedi has published over 500 articles and has supervised 46 Ph.D. dissertations, and has given numerous keynotes, tutorials, and talks at international meetings and conferences. His research interests are in reliability, availability, performance, performability, security and survivability evaluation of computer and communication systems. He works closely with industry in carrying out reliability/availability analysis, providing short courses on reliability, availability, performability modeling and in the development and dissemination of software packages such as SHARPE and SPNP.
