2pm Fri Oct 1 talk on predicting faults in federated distributed systems
peaker: Professor Dejan Kostic, EPFL Title: Predicting Faults in Heterogeneous, Federated Distributed Systems Date/time: 2:00-3:00pm on Friday October 1 Location: CS 302 Abstract: It is notoriously difficult to make distributed systems reliable. This becomes even harder in the case of the widely-deployed systems that become heterogeneous and federated. The set of routers in charge of the inter-domain routing in the Internet is a prime example of such a system. The unanticipated interaction of nodes under seemingly valid configuration changes and local fault-handling can have a profound effect. For example, the Internet has suffered from multiple IP prefix hijackings, as well as performance and reliability problems due to emergent behavior resulting from a local session reset. We argue that the key step in making these systems reliable is the need to automatically predict faults. In this talk, I will describe the design and implementation of DiCE, a system that uses temporal and spatial awareness to predict faults in heterogeneous, federated systems. Our live evaluation in the testbed shows that DiCE quickly and successfully predicts two important classes of faults, operator mistakes and programming errors, that have plagued BGP routing in the Internet. Joint work with Marco Canini, Vojin Jovanovic, and Gautam Kumar Bio: Dejan Kostić obtained his Ph.D. in Computer Science at the Duke University, under Amin Vahdat. He spent the last two years of his studies and a brief stay as a postdoctoral scholar at the University of California, San Diego. He received his Master of Science degree in Computer Science from the University of Texas at Dallas, and his Bachelor of Science degree in Computer Engineering and Information Technology from the University of Belgrade (ETF), Serbia. In January 2006, he started as a tenure-track assistant professor at the School of Computer and Communications Sciences at EPFL (Ecole Polytechnique Fédérale de Lausanne), Switzerland. In 2010, he received a European Research Council (ERC) Starting Investigator Award.
participants (1)
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Jennifer Rexford