Toronto, Ontario, Canada
Join us for PODC 2019 in Toronto!
- The Jennifer Jubilee celebrated the work of Jennifer Welch in honor of her 60th birthday.
- The keynote talks included
- Barriers due to Congestion and Two Ways to Deal With Them by Keren Censor-Hillel, Technion
- Data Summarization and Distributed Computation by Graham Cormode, University of Warwick
- Overview of Persistent Memory in Distributed Systems Architecture – Past, Present, Future by Robert Peglar, Advanced Computation and Storage LLC
- The workshop and tutorial schedule included six workshops and four tutorial spread over two days.
- The 2018 Edsger W. Dijkstra Prize in Distributed Computing was presented to Bowen Alpern and Fred B. Schneider for their paper “Defining liveness” at PODC 2018.
- The 2018 Principles of Distributed Computing Doctoral Dissertation Award was presented to Dr. Rati Gelashvili, for his dissertation titled “On the Complexity of Synchronization” written under the supervision of Prof. Nir Shavit at MIT.
- The Best Paper Award was presented to Leonid Barenboim, Michael Elkin, and Uri Goldenberg for their paper Locally-Iterative Distributed (Delta + 1)-Coloring below Szegedy-Vishwanathan Barrier, and Applications to Self-Stabilization and to Restricted-Bandwidth Models.
- The Best Student Paper Award was presented to:
- Follow PODC on Twitter @podc_conference.
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