4 Search Results for "Ferreira, Carla"


Document
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)


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@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.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
Artifact
VeriFx: Correct Replicated Data Types for the Masses (Artifact)

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

Published in: DARTS, Volume 9, Issue 2, Special Issue of the 37th European Conference on Object-Oriented Programming (ECOOP 2023)


Abstract
Our related article presents our novel verification language, called VeriFx. We used VeriFx to implement and verify 51 Conflict-Free Replicated Data Types (CRDTs) and 9 Operational Transformation (OT) functions. This artifact bundles the implementation of the various CRDTs and OT functions described in the article. The artifact also contains a Docker file that can be used to reproduce the verification results (Table 1 and 2 in the article). In addition, the artifact can also be used to run custom VeriFx programs and verify their correctness.

Cite as

Kevin De Porre, Carla Ferreira, and Elisa Gonzalez Boix. VeriFx: Correct Replicated Data Types for the Masses (Artifact). In Special Issue of the 37th European Conference on Object-Oriented Programming (ECOOP 2023). Dagstuhl Artifacts Series (DARTS), Volume 9, Issue 2, pp. 19:1-19:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@Article{deporre_et_al:DARTS.9.2.19,
  author =	{De Porre, Kevin and Ferreira, Carla and Gonzalez Boix, Elisa},
  title =	{{VeriFx: Correct Replicated Data Types for the Masses (Artifact)}},
  pages =	{19:1--19:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2023},
  volume =	{9},
  number =	{2},
  editor =	{De Porre, Kevin and Ferreira, Carla and Gonzalez Boix, Elisa},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.9.2.19},
  URN =		{urn:nbn:de:0030-drops-182596},
  doi =		{10.4230/DARTS.9.2.19},
  annote =	{Keywords: distributed systems, eventual consistency, replicated data types, verification}
}
Document
Programming Languages for Distributed Systems and Distributed Data Management (Dagstuhl Seminar 19442)

Authors: Carla Ferreira, Philipp Haller, and Guido Salvaneschi

Published in: Dagstuhl Reports, Volume 9, Issue 10 (2020)


Abstract
Programming language advances have played an important role in various areas of distributed systems research, including consistency, communication, and fault tolerance, enabling automated reasoning and performance optimization. However, over the last few years, researchers focusing on this area have been scattered across different communities such as language design and implementation, (distributed) databases, Big Data processing and IoT/edge computing -- resulting in limited interaction. The goal of this seminar is to build a community of researchers interested in programming language techniques for distributed systems and distributed data management, share current research results and set up a common research agenda. This report documents the program and the outcomes of Dagstuhl Seminar 19442 "Programming Languages for Distributed Systems and Distributed Data Management."

Cite as

Carla Ferreira, Philipp Haller, and Guido Salvaneschi. Programming Languages for Distributed Systems and Distributed Data Management (Dagstuhl Seminar 19442). In Dagstuhl Reports, Volume 9, Issue 10, pp. 117-133, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)


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@Article{ferreira_et_al:DagRep.9.10.117,
  author =	{Ferreira, Carla and Haller, Philipp and Salvaneschi, Guido},
  title =	{{Programming Languages for Distributed Systems and Distributed Data Management (Dagstuhl Seminar 19442)}},
  pages =	{117--133},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{10},
  editor =	{Ferreira, Carla and Haller, Philipp and Salvaneschi, Guido},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.10.117},
  URN =		{urn:nbn:de:0030-drops-118586},
  doi =		{10.4230/DagRep.9.10.117},
  annote =	{Keywords: Programming Languages, Distributed Systems, Data Management}
}
Document
Graph-of-Entity: A Model for Combined Data Representation and Retrieval

Authors: José Devezas, Carla Lopes, and Sérgio Nunes

Published in: OASIcs, Volume 74, 8th Symposium on Languages, Applications and Technologies (SLATE 2019)


Abstract
Managing large volumes of digital documents along with the information they contain, or are associated with, can be challenging. As systems become more intelligent, it increasingly makes sense to power retrieval through all available data, where every lead makes it easier to reach relevant documents or entities. Modern search is heavily powered by structured knowledge, but users still query using keywords or, at the very best, telegraphic natural language. As search becomes increasingly dependent on the integration of text and knowledge, novel approaches for a unified representation of combined data present the opportunity to unlock new ranking strategies. We tackle entity-oriented search using graph-based approaches for representation and retrieval. In particular, we propose the graph-of-entity, a novel approach for indexing combined data, where terms, entities and their relations are jointly represented. We compare the graph-of-entity with the graph-of-word, a text-only model, verifying that, overall, it does not yet achieve a better performance, despite obtaining a higher precision. Our assessment was based on a small subset of the INEX 2009 Wikipedia Collection, created from a sample of 10 topics and respectively judged documents. The offline evaluation we do here is complementary to its counterpart from TREC 2017 OpenSearch track, where, during our participation, we had assessed graph-of-entity in an online setting, through team-draft interleaving.

Cite as

José Devezas, Carla Lopes, and Sérgio Nunes. Graph-of-Entity: A Model for Combined Data Representation and Retrieval. In 8th Symposium on Languages, Applications and Technologies (SLATE 2019). Open Access Series in Informatics (OASIcs), Volume 74, pp. 1:1-1:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)


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@InProceedings{devezas_et_al:OASIcs.SLATE.2019.1,
  author =	{Devezas, Jos\'{e} and Lopes, Carla and Nunes, S\'{e}rgio},
  title =	{{Graph-of-Entity: A Model for Combined Data Representation and Retrieval}},
  booktitle =	{8th Symposium on Languages, Applications and Technologies (SLATE 2019)},
  pages =	{1:1--1:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-114-6},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{74},
  editor =	{Rodrigues, Ricardo and Janou\v{s}ek, Jan and Ferreira, Lu{\'\i}s and Coheur, Lu{\'\i}sa and Batista, Fernando and Gon\c{c}alo Oliveira, Hugo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2019.1},
  URN =		{urn:nbn:de:0030-drops-108686},
  doi =		{10.4230/OASIcs.SLATE.2019.1},
  annote =	{Keywords: Entity-oriented search, graph-based models, collection-based graph}
}
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