Registered user since Mon 20 Feb 2017
Name: Carlos Baquero
Bio: 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.
Affiliation: HASLab/INESC TEC & University of Minho
Personal website: http://haslab.uminho.pt/cbm/
Research interests: Eventual Consistency, Distributed Aggregation, Causality Tracking.
PLDI, ECOOP, Curry On, DEBS, LCTES and ISMM Activities
- Author of The Single-Writer Principle in CRDT Composition within the PMLDC 2017-track in PMLDC 2017
- Author of Multi-view data types for scalable concurrency in the multi-core era within the PMLDC 2017-track in PMLDC 2017
- Committee Member in Program Committee for PMLDC 2017
- Show activities from other conferences