Projects per year
Abstract
To ease the development of geo-distributed applications, replicated data types (RDTs) offer a familiar programming interface while ensuring state convergence, low latency, and high availability. However, RDTs are still designed exclusively by experts using ad-hoc solutions that are error-prone and result in brittle systems. Recent works statically detect conflicting operations on existing data types and coordinate those at runtime to guarantee convergence and preserve application invariants. However, these approaches are too conservative, imposing coordination on a large number of operations. In this work, we propose a principled approach to design and implement efficient RDTs taking into account application invariants. Developers extend sequential data types with a distributed specification, which together form an RDT. We statically analyze the specification to detect conflicts and unravel their cause. This information is then used at runtime to serialize concurrent operations safely and efficiently. Our approach derives a correct RDT from any sequential data type without changes to the data type's implementation and with minimal coordination. We implement our approach in Scala and develop an extensive portfolio of RDTs. The evaluation shows that our approach provides performance similar to conflict-free replicated data types for commutative operations, and considerably improves the performance of non-commutative operations, compared to existing solutions.
Original language | English |
---|---|
Article number | 107 |
Pages (from-to) | 1-30 |
Number of pages | 30 |
Journal | Proceedings of the ACM on Programming Languages |
Volume | 5 |
Issue number | OOPSLA |
DOIs | |
Publication status | Published - 15 Oct 2021 |
Event | OOPSLA 2021 - Swissotel, Chicago, United States Duration: 17 Oct 2021 → 22 Oct 2021 https://2021.splashcon.org/track/splash-2021-oopsla |
Keywords
- replication
- data structures
- eventual consistency
Fingerprint
Dive into the research topics of 'ECROs: building global scale systems from sequential code'. Together they form a unique fingerprint.Projects
- 1 Finished
-
FWOSB66: Consistency à la carte: A general-purpose framework for scalable mixed-consistency applications
De Porre, K. & Gonzalez Boix, E.
1/01/19 → 31/12/22
Project: Fundamental