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

PaPoC 2025 is a successor to previous workshops in this series (PaPoC 2014, PaPoC 2015, PaPoC 2016, PaPoC 2017, PaPoC 2018, PaPoC 2019, PaPoC 2020, PaPoC 2021 and PaPoC 2022) PaPoC 2023) PaPoC 2024) which brought together researchers and practitioners in the areas of distributed systems, programming languages, databases, and concurrent programming.

The PaPoC workshop investigates the trade-offs among different consistency models for distributed systems, and their operational characteristics. While stronger consistency models can be easier for programmers to reason about, weaker consistency models can often provide better availability and performance. Beyond the well-known tension between Consistency, Availability, and Partition-tolerance, as captured by the CAP theorem, many nuanced consistency models and algorithms have been developed for different purposes. Distributed consistency models are needed in large-scale datacenter-based systems, but also in edge networks with wide geographic distribution, and even in end-user applications running on mobile devices with intermittent network connectivity. It is clear that there is no universally best solution for sharing data in these different settings.