Phillip Gibbons

from Wikipedia, the free encyclopedia

Phillip Baldwin Gibbons is an American computer scientist and professor at Carnegie Mellon University .

Gibbons studied mathematics at Dartmouth College from 1979 to 1983 and received his PhD in computer science from the University of California, Berkeley , under Richard M. Karp in 1989 . From 1990 to 1996 he carried out research at ATT Bell Laboratories, then at their successor Lucent Bell Laboratories and from 2001 to 2011 at Intel Research in Pittsburgh. From 2011 to 2015 he was co-director of the Intel Science and Technology Center for Cloud Computing, a joint venture between Intel, Carnegie Mellon University, Georgia Tech, the University of Washington, and the Universities of Berkeley and Princeton. From 2015 he was Professor at Carnegie Mellon University, where he was Adjunct Associate Professor from 2000 and Adjunct Professor from 2003.

He deals with cloud computing , parallel computing (Parlay, Hi-Spade, log-based architectures (LBA) on multi-core processor systems), big data (e.g. Aqua, Approximate Query Answering), databases, sensor networks (IrisNet), claytronics, distributed Systems ( e.g. Sybil Defenses to limit the influence of harmful users) and computer architecture. Recent research projects include algorithms for write-intensive storage systems (asymmetric storage), large-scale machine learning, and cloud computing for video analytics.

In 2006 he became a Fellow of the Association for Computing Machinery and in 2014 of the IEEE . In 2019 he was one of the recipients of the Paris Kanellakis Prize .

Fonts (selection)

  • with K. Gharachorloo, J. Hennessy et al. Memory consistency and event ordering in scalable shared-memory multiprocessors, ACM SIGARCH Computer Architecture News, Volume 18, 1990, pp. 15-26
  • with Y. Matias: New sampling-based summary statistics for improving approximate query answers, Proceedings of the 1998 ACM SIGMOD international conference on Management of data, pp. 331–342
  • with S. Papadimitriou u. a .: Loci: Fast outlier detection using the local correlation integral, Proceedings 19th international conference on data engineering, 2003, pp. 315–326
  • with B. Karp, Y. Ke, S. Nath, S. Seshan: Irisnet: An architecture for a worldwide sensor web, IEEE Pervasive Computing, Volume 2, 2003, pp. 22-33
  • with A. Manjhi, S. Nath: Tributaries and deltas: Efficient and robust aggregation in sensor network streams, Proceedings of the 2005 ACM SIGMOD International Conference on Management of data, pp. 287-298
  • with H. Yu, M. Kaminsky, A. Flaxman: Sybilguard: defending against sybil attacks via social networks, Proceedings of the 2006 Conference on Applications, Technologies, Architectures and Protocols for Computer Communications, 267-278
  • with H. Yu a. a .: Sybillimit: A near-optimal social network defense against sybil attacks, 2008 IEEE Symposium on Security and Privacy, pp. 3-17
  • with S. Nath, Z. Anderson u. a .: Synopsis diffusion for robust aggregation in sensor networks, ACM Transactions on Sensor Networks (TOSN), Volume 4, 2008, pp. 1-40
  • with H. Yu, M. Kaminsky, AD Flaxman: Sybilguard: defending against sybil attacks via social networks, IEEE / ACM Transactions on Networking, Volume 16, 2008, pp. 576-589

Web links

Individual evidence

  1. ^ Claytronics Project