Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
About
Download Photo HD

About

My research interests cover data management in eventual consistent settings, distributed data aggregation and causality tracking. In the last years I have collaborated with my co-authors in the development of data summary mechanisms such as Scalable Bloom Filters, causality tracking for dynamic settings with Interval Tree Clocks and Dotted Version Vectors and in predictable eventual consistency with Conflict-Free Replicated Data Types. My recent work has been applied in the Riak distributed database and in Akka distributed data, and is running in production systems serving millions of users worldwide.

Interest
Topics
Details

Details

  • Name

    Carlos Baquero
  • Role

    Area Manager
  • Since

    01st November 2011
  • Nationality

    Portugal
  • Contacts

    +351253604440
    carlos.baquero@inesctec.pt
004
Publications

2020

State-machine replication for planet-scale systems

Authors
Enes, V; Baquero, C; Rezende, TF; Gotsman, A; Perrin, M; Sutra, P;

Publication
EuroSys '20: Fifteenth EuroSys Conference 2020, Heraklion, Greece, April 27-30, 2020

Abstract

2019

Scalable eventually consistent counters over unreliable networks

Authors
Almeida, PS; Baquero, C;

Publication
Distributed Computing

Abstract

2019

Conflict-Free Replicated Data Types CRDTs

Authors
Preguiça, NM; Baquero, C; Shapiro, M;

Publication
Encyclopedia of Big Data Technologies.

Abstract

2019

Higher-order patterns in replicated data types

Authors
Leijnse, A; Almeida, PS; Baquero, C;

Publication
Proceedings of the 6th Workshop on Principles and Practice of Consistency for Distributed Data, PaPoC 2019

Abstract
The design of Conflict-free Replicated Data Types traditionally requires implementing new designs from scratch to meet a desired behavior. Although there are composition rules that can guide the process, there has not been a lot of work explaining how existing data types relate to each other, nor work that factors out common patterns. To bring clarity to the field we explain underlying patterns that are common to flags, sets, and registers. The identified patterns are succinct and composable, which gives them the power to explain both current designs and open up the space for new ones. © 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.

2019

Efficient Synchronization of State-based CRDTs

Authors
Enes, V; Almeida, PS; Baquero, C; Leitao, J;

Publication
CoRR

Abstract

Supervised
thesis

2019

Coordination Protocols over Remote Direct Memory Access

Author
Vítor Manuel Enes Duarte

Institution
UP-FCUP

2019

Optimizing Operation-based Conflict-Free Replicated Data Types

Author
Georges Younes

Institution
UP-FCUP

2019

Tipos convergentes em memória partilhada

Author
José Pedro Maia Brandão

Institution
UM

2018

Broadcast Cancellation in Unstructured Networks

Author
Rui Manuel Dias Ferreira Lima

Institution
UM

2017

Efficient Synchronization of state-based CRDTs

Author

Institution
UM