2 Search Results for "Preguiça, Nuno"

Document
DOI: 10.4230/LIPIcs.ECOOP.2023.9
VeriFx: Correct Replicated Data Types for the Masses

Authors: Kevin De Porre, Carla Ferreira, and Elisa Gonzalez Boix

Published in: LIPIcs, Volume 263, 37th European Conference on Object-Oriented Programming (ECOOP 2023)

Abstract
Distributed systems adopt weak consistency to ensure high availability and low latency, but state convergence is hard to guarantee due to conflicts. Experts carefully design replicated data types (RDTs) that resemble sequential data types and embed conflict resolution mechanisms that ensure convergence. Designing RDTs is challenging as their correctness depends on subtleties such as the ordering of concurrent operations. Currently, researchers manually verify RDTs, either by paper proofs or using proof assistants. Unfortunately, paper proofs are subject to reasoning flaws and mechanized proofs verify a formalization instead of a real-world implementation. Furthermore, writing mechanized proofs is reserved for verification experts and is extremely time-consuming. To simplify the design, implementation, and verification of RDTs, we propose VeriFx, a specialized programming language for RDTs with automated proof capabilities. VeriFx lets programmers implement RDTs atop functional collections and express correctness properties that are verified automatically. Verified RDTs can be transpiled to mainstream languages (currently Scala and JavaScript). VeriFx provides libraries for implementing and verifying Conflict-free Replicated Data Types (CRDTs) and Operational Transformation (OT) functions. These libraries implement the general execution model of those approaches and define their correctness properties. We use the libraries to implement and verify an extensive portfolio of 51 CRDTs, 16 of which are used in industrial databases, and reproduce a study on the correctness of OT functions.
Cite as

Kevin De Porre, Carla Ferreira, and Elisa Gonzalez Boix. VeriFx: Correct Replicated Data Types for the Masses. In 37th European Conference on Object-Oriented Programming (ECOOP 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 263, pp. 9:1-9:45, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

Copy BibTex To Clipboard

@InProceedings{deporre_et_al:LIPIcs.ECOOP.2023.9,
  author =	{De Porre, Kevin and Ferreira, Carla and Gonzalez Boix, Elisa},
  title =	{{VeriFx: Correct Replicated Data Types for the Masses}},
  booktitle =	{37th European Conference on Object-Oriented Programming (ECOOP 2023)},
  pages =	{9:1--9:45},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-281-5},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{263},
  editor =	{Ali, Karim and Salvaneschi, Guido},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2023.9},
  URN =		{urn:nbn:de:0030-drops-182028},
  doi =		{10.4230/LIPIcs.ECOOP.2023.9},
  annote =	{Keywords: distributed systems, eventual consistency, replicated data types, verification}
}
Document
DOI: 10.4230/LIPIcs.OPODIS.2017.24
Non-Uniform Replication

Authors: Gonçalo Cabrita and Nuno Preguiça

Published in: LIPIcs, Volume 95, 21st International Conference on Principles of Distributed Systems (OPODIS 2017)

Abstract
Replication is a key technique in the design of efficient and reliable distributed systems. As information grows, it becomes difficult or even impossible to store all information at every replica. A common approach to deal with this problem is to rely on partial replication, where each replica maintains only a part of the total system information. As a consequence, a remote replica might need to be contacted for computing the reply to some given query, which leads to high latency costs particularly in geo-replicated settings. In this work, we introduce the concept of non- uniform replication, where each replica stores only part of the information, but where all replicas store enough information to answer every query. We apply this concept to eventual consistency and conflict-free replicated data types. We show that this model can address useful problems and present two data types that solve such problems. Our evaluation shows that non-uniform replication is more efficient than traditional replication, using less storage space and network bandwidth.
Cite as

Gonçalo Cabrita and Nuno Preguiça. Non-Uniform Replication. In 21st International Conference on Principles of Distributed Systems (OPODIS 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 95, pp. 24:1-24:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

Copy BibTex To Clipboard

@InProceedings{cabrita_et_al:LIPIcs.OPODIS.2017.24,
  author =	{Cabrita, Gon\c{c}alo and Pregui\c{c}a, Nuno},
  title =	{{Non-Uniform Replication}},
  booktitle =	{21st International Conference on Principles of Distributed Systems (OPODIS 2017)},
  pages =	{24:1--24:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-061-3},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{95},
  editor =	{Aspnes, James and Bessani, Alysson and Felber, Pascal and Leit\~{a}o, Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2017.24},
  URN =		{urn:nbn:de:0030-drops-86393},
  doi =		{10.4230/LIPIcs.OPODIS.2017.24},
  annote =	{Keywords: Non-uniform Replication, Partial Replication, Replicated Data Types, Eventual Consistency}
}
  • Refine by Author
  • 1 Cabrita, Gonçalo
  • 1 De Porre, Kevin
  • 1 Ferreira, Carla
  • 1 Gonzalez Boix, Elisa
  • 1 Preguiça, Nuno

  • Refine by Classification
  • 1 Computing methodologies → Distributed programming languages
  • 1 Software and its engineering → Domain specific languages
  • 1 Theory of computation → Distributed algorithms

  • Refine by Keyword
  • 1 Eventual Consistency
  • 1 Non-uniform Replication
  • 1 Partial Replication
  • 1 Replicated Data Types
  • 1 distributed systems
  • Show More...

  • Refine by Type
  • 2 document

  • Refine by Publication Year
  • 1 2018
  • 1 2023

Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH Imprint Privacy Contact