Workshop on Principles and Practice of Consistency for Distributed Data (PaPoC 2017)

April 23, 2017, Belgrade, Serbia

Call for Papers :

Consistency is one of the fundamental issues of distributed computing. There are many competing consistency models, with subtly different power in principle. In practice, the well-known the Consistency-Availability-Partition Tolerance trade-off translates to difficult choices between fault tolerance, performance, and programmability. The issues and trade-offs are particularly vexing at scale, with a large number of processes or a large shared database, and in the presence of high latency and failure-prone networks. It is clear that there is no one universally best solution.

Topics of Interest

• Design principles, correctness conditions, and programming patterns for scalable distributed data systems.
• Techniques for weak consistency: session guarantees, causal consistency, operational transformation, conflict-free replicated data types, monotonic programming, state merge, commutativity, etc.
• Consistency vs. performance and scalability trade-offs: guiding developers, controlling the system.
• Analysis and verification of weakly consistent programs.
• Strengthening guarantees of weakly consistent system: transactions, fault tolerance, security, ensuring invariants, bounding metadata size, and controlling divergence.
• Platform guarantees vs. application involvement: guiding developers, controlling the system.
• Techniques for scaling and improving the performance of strongly consistent systems (e.g., Paxos-based or state machine replication).

Important Dates

• Paper submission February 17, 2017
• Authors notification: March 3, 2017
• Camera-ready: TBA
• Workshop: April 23, 2017

User Name : jerish
Posted 07-01-2017 on 09:32:49 AEDT

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