PODC 2017
Washington, DC
July 2017
PODC 2017 will be held in the Washington, DC, area during July 2017.
See the call for papers and submit your work by February 10, 2017.
News
PODC 2016 was held in Chicago, Illinois, on July 25-29. See the program and the proceedings from the conference. At the conference,
- The 2016 Edsger W. Dijkstra Prize in Distributed Computing went to Noga Alon, László Babai, Alon Itai, and Michael Luby.
- The 2016 Principles of Distributed Computing Doctoral Dissertation Award went to Dr. Hsin-Hao Su and Dr. Shahar Timnat (presented at DISC 2016).
- The best paper award went to
- Andrea Cerone and Alexey Gotsman
Analysing Snapshot Isolation
- Andrea Cerone and Alexey Gotsman
- The best student paper award went to
- Reuven Bar-Yehuda, Keren Censor-Hillel and Gregory Schwartzman
A Distributed (2+ε)-Approximation for Vertex Cover in O(log(Δ)/ε log log(Δ)) Rounds - Arnold Filtser and Shay Solomon
The Greedy Spanner is Existentially Optimal
- Reuven Bar-Yehuda, Keren Censor-Hillel and Gregory Schwartzman
- We held the Faith Ellen Celebration to celebrate the work of Faith Ellen.
- We heard great keynote lectures:
- New Opportunities for PODC?: Massive, Volatile, but Highly Predictable Resources (slides)
Andrew A. Chien (The University of Chicago, Argonne National Laboratory) - Concurrent Data Structures (slides)
Faith Ellen (University of Toronto) - How Emerging Memory Technologies Will Have You Rethinking Algorithm Design Phillip B. Gibbons (Carnegie Mellon University)
- New Opportunities for PODC?: Massive, Volatile, but Highly Predictable Resources (slides)
Follow PODC on Twitter @podc_conference.
Scope
The ACM Symposium on Principles of Distributed Computing, is an international forum on the theory, design, analysis, implementation and application of distributed systems and networks. We solicit papers in all areas of distributed computing. Papers from all viewpoints, including theory, practice, and experimentation, are welcome. The common goal of the conference is to improve understanding of the principles underlying distributed computing. Topics of interest include, but are not limited to, the following:
- distributed algorithms: design, analysis, and complexity
- communication networks: algorithms, protocols, applications
- multiprocessor and multi-core architectures and algorithms
- shared and transactional memory, concurrency, synchronization
- fault-tolerance, reliability, self-organization, self-stabilization
- Internet applications, social networks, recommendation systems
- dynamic, adaptive and machine learning distributed algorithms
- distributed operating systems, middleware, databases
- biological distributed algorithms
- game-theoretic approaches to distributed computing
- peer-to-peer systems, overlay networks
- high-performance, cluster, cloud and grid computing
- wireless networks, mobile computing, autonomous agents
- context-aware distributed systems
- security in distributed computing, cryptographic protocols
- quantum and optics based distributed algorithms
- sensor, mesh, and ad hoc networks
- specification, semantics, verification of concurrent systems