Keynote Speeches
Two keynote speeches will be presented at PRDC 2017.
Keynote Speech 1

Prof. Ravishankar K. Iyer, University of Illinois at Urbana-Champaign, Illinois, USA
Title: Achieving Resilience in Newer Application Domains
Download Slides Here
Abstract
Above and beyond all the trends and developments in computer system design and implementation, are factors related to new applications
domains. We see an eclectic landscape that presents compelling new research, business, and societal challenges-driven by the multidisciplinary
nature of societal problems-at the nexus of food, health, and energy. The next major innovations in computer science and engineering are
likely to come from "intelligent" deployment of human-centric systems that must optimally interact with other manmade and natural systems
with a focus on seamless availability of dynamic decision-making capabilities. Our need to measure, model, communicate, and manage our
vast natural and social enterprise requires a recognition that our physical world is complex and requires a level of adaptation and resilience
that is unprecedented. New creative approaches are essential for handling the problems of scale and complexity envisioned in this future.
Applications, such as, in High Performance Computing, the smart power grid, medical electronics, robotic management and control, all
driven by advanced data-analytics, have spawned a level of complexity where traditional fault-tolerance methods cannot form the backbone
for resilient system design. Assumptions such as occurrence of a single fault in the system, independence of faults, or low hardware and
software interactions are easily foiled in these new settings. This means that a new set of fault models have to evolve and need to be studied
carefully, either by significantly enhancing traditional techniques or by introducing new resiliency methods. Driven by studies of and
observations from current technologies and systems, this talk will present research directions and challenges related to building resilient
applications in several of the new domains.
Short Biography
Ravishankar Iyer is the George and Ann Fisher Distinguished Professor of Engineering at the University of Illinois at Urbana-Champaign. He holds joint appointments in the Department of Electrical and Computer Engineering, the Coordinated Science Laboratory (CSL), and the Department of Computer Science and serves as Chief Scientist of the Information Trust Institute and is affiliate faculty of the National Center for Supercomputing Applications (NCSA). Iyer has led several large successful projects funded by the National Aeronautics and Space Administration (NASA), Defense Advanced Research Projects Agency (DARPA), National Science Foundation (NSF), and industry. He currently co-leads the CompGen Initiative at Illinois. Funded by NSF and partnering with industry leaders, hospitals, and research laboratories, CompGen aims to build a new computational platform to address both accuracy and performance issues for a range of genomics applications. Professor Iyer is a Fellow of the American Association for the Advancement of Science, the Institute of Electrical and Electronics Engineers (IEEE), and the Association for Computing Machinery (ACM). He has received several awards, including the American Institute for Aeronautics and Astronautics (AIAA) Information Systems Award, the IEEE Emanuel R. Piore Award, and the 2011 Outstanding Contributions award by the Association of Computing Machinery-Special Interest Group on Security for his fundamental and far-reaching contributions in secure and dependable computing. Professor Iyer is also the recipient of the degree of Doctor Honaris Causa from Toulouse Sabatier University in France.
Keynote Speech 2
Prof. Kishor S. Trivedi, Duke University, North Carolina, USA
Title: Reliability and Availability Modeling in Practice
Download Slides Here
Abstract
Non-state-space solution methods are often used to solve reliability block diagrams, fault trees and reliability graphs. Relatively efficient algorithms are known to handle systems with hundreds of components and have been implemented in many software packages. Nevertheless, many practical problems cannot be handled by such algorithms. Bounding algorithms are then used in such cases as was done for a major subsystem of Boeing 787. Non-state-space methods derive their efficiency from the independence assumption that is often violated in practice. State space methods based on Markov chains, stochastic Petri nets, semi-Markov and Markov regenerative processes can be used to capture various kinds of dependencies among system components. However, the resulting state space explosion severely restricts the size of the problem that can be solved. Hierarchical and fixed-point iterative methods provide a scalable alternative that combines the strengths of state space and non-state-space methods and have been extensively used to solve real-life problems. We will take a journey through these model types via interesting real-world examples.
Short Biography
Kishor S. Trivedi holds the Hudson Chair in the Department of Electrical and Computer Engineering at Duke University, Durham, NC. He has a B. Tech (EE, 1968) from IIT Mumbai, M.S. (CS, 1972) and PhD (CS, 1974) from the University of Illinois, Urbana-Champaign. He has been on the Duke faculty since 1975. He is currently a visiting professor at IIT Gandhinagar. He is the author of a well-known text entitled, Probability and Statistics with Reliability, Queuing and Computer Science Applications, first published by Prentice-Hall; a thoroughly revised second edition (including its Indian edition) of this book has been published by John Wiley. He is a Life Fellow of the Institute of Electrical and Electronics Engineers. He is a Golden Core Member of IEEE Computer Society. He has published over 500 articles and has supervised 46 Ph.D. dissertations. He is the recipient of IEEE Computer Society Technical Achievement Award for his research on Software Aging and Rejuvenation. His research interests in are in reliability, availability, performance, performability and survivability modeling of computer and communication systems. He works closely with industry in carrying our 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. His URL is www.ee.duke.edu/~ktrivedi.