PODC

News

• Program:
  • Schedule Overview
  • Detailed program
  • PDFs of accepted papers (available July 29)
• The reception will be held at 5:30 pm – 7:30 pm on July 29th (Monday) at the conference venue.
• Keynote talks this year are:
  • Ronitt Rubinfeld, Local Computation Algorithms
  • Ilya Sergey, Engineering Distributed Systems that We Can Trust (and Also Run)
  • Philipp Woelfel, Towards a Theory of Randomized Shared Memory Algorithms
• The 2019 Dijsktra Prize will go to Alessandro Panconesi and Aravind Srinivasan for “Randomized Distributed Edge Coloring via an Extension of the Chernoff–Hoeffding Bounds” in SIAM Journal on Computing, volume 26, number 2, 1997, pages 350–368.
• The 2019 Dissertation Award will go to Dr. Sepehr Assadi for “Combinatorial Optimization on Massive Datasets: Streaming, Distributed, and Massively Parallel Computation” under Prof. Sanjeev Khanna at the University of Pennsylvania.
• The Call for Applications for Student Travel Awards is now available.
• PODC 2019 is sponsored by Oracle, Uber, and VMware.
• Follow PODC on Twitter @podc_disc.

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