
Carlos Baquero
Area Manager
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.
Publications
3(rd) workshop on mobility and replication
Andersen, B;Baquero, C;Juul, NC;
1998
OBJECT-ORIENTED TECHNOLOGY: ECOOP'98 WORKSHOP READER
Improving causality logging in mobile computing networks
Baquero, C;Moura, F;
1998
Mobile Computing and Communications Review
Using Structural Characteristics for Autonomous Operation
Baquero, C;Moura, F;
1999
Operating Systems Review
Probabilistic Causal Contexts for Scalable CRDTs
Fernandes, PH;Baquero, C;
2023
PROCEEDINGS OF THE 10TH WORKSHOP ON PRINCIPLES AND PRACTICE OF CONSISTENCY FOR DISTRIBUTED DATA, PAPOC 2023
Supervised Theses
Coordination Protocols over Remote Direct Memory Access
Vítor Manuel Enes Duarte
D - 2019
UM-EEUM
Optimizing Operation-based Conflict-Free Replicated Data Types
Georges Younes
D - 2019
UM-EEUM
Tipos convergentes em memória partilhada
José Pedro Maia Brandão
M - 2019
UM-EEUM
Coordination Protocols over Remote Direct Memory Access
Vítor Manuel Enes Duarte
D - 2020
UM-EEUM

