International Symposium on DIStributed Computing (DISC) 2018

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The International Symposium on DIStributed Computing (DISC) is an international forum on the theory, design, analysis, implementation and application of distributed systems and networks. DISC 2018 will be held in New Orleans, USA, between the 15th and 19th of October. DISC is organized in cooperation with the European Association for Theoretical Computer Science (EATCS).

Important Dates

  • Workshop Proposal Submission: April 7, 2018
  • Workshop Decision: April 15, 2018
  • Abstract Registration: May 3, 2018 (AoE)
  • Paper Submission: May 12, 2018 (AoE)
  • Notification Full Paper: July 12, 2018 
  • Notification Submitted & Invited BAs: July 19, 2018
  • Camera-Ready Submission: August 5, 2018 (AoE)
  • Early Registration: TBA
  • Main Conference: October 16-18, 2018
  • Workshops: TBA

Invited Speakers

Scope

Original contributions to theory, design, implementation, modeling, analysis, or application of distributed systems and networks are solicited. Topics of interest include, but are not limited to:

  • Distributed computing theory, computability, knowledge
  • Concurrency and synchronization, transactional memory
  • Classic distributed algorithms and data structures: correctness and complexity
  • Distributed graph algorithms, dynamic networks, network science
  • Multiprocessor and multicore parallel architectures and algorithms
  • Circuits, systems on chip and networks on chip
  • Wireless, mobile, sensor and ad-hoc networks
  • Fault tolerance and self-stabilization, reliability, availability
  • Security in distributed computing, cryptographic protocols
  • Blockchain and other recent distributed paradigms
  • Game-theoretic approaches to distributed computing
  • Formal verification, synthesis and testing: methodologies, tools
  • Distributed operating systems, middleware, and distributed programming
  • Distributed databases, big data, cloud and peer-to-peer computing
  • Mobile agents, autonomous distributed systems, swarm robotics
  • Biological and nature-inspired distributed algorithms
  • Machine learning and distributed computing