World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
9919
World Ranking
10001
National Ranking
4215

Overview

Carlo Curino is affiliated with Microsoft, United States, and has contributed extensively to the field of Computer Science. Their body of research spans several subfields, including Computer Networks and Communications, Artificial Intelligence, Information Systems, Information Systems and Management, and Hardware and Architecture. These areas have formed the foundation of their work, which intersects with multiple topics.

The main topics addressed in their research include:

  • Cloud Computing and Resource Management
  • Scientific Computing and Data Management
  • Advanced Database Systems and Queries
  • Data Stream Mining Techniques
  • Parallel Computing and Optimization Techniques
  • Advanced Data Storage Technologies
  • Data Quality and Management

Curino has produced numerous publications in prominent venues. Frequent publication venues in their career include:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • ACM SIGMOD Record
  • Proceedings of the ACM on Management of Data
  • HAL (Le Centre pour la Communication Scientifique Directe)

Some of their recent papers cover a variety of subjects, reflecting the interdisciplinary nature of their research:

  • LlamaTune, 2022, Proceedings of the VLDB Endowment
  • Query processing on tensor computation runtimes, 2022, Proceedings of the VLDB Endowment
  • Seagull, 2020, Proceedings of the VLDB Endowment
  • Data Science Through the Looking Glass, 2022, ACM SIGMOD Record
  • A Tensor Compiler for Unified Machine Learning Prediction Serving, 2020, arXiv (Cornell University)

Throughout their career, Curino has collaborated with multiple co-authors on research projects. These frequent collaborators include:

  • Jesús Camacho-Rodríguez
  • Avrilia Floratou
  • Raghu Ramakrishnan
  • Alekh Jindal
  • Ashvin Agrawal

The combination of fields of study, topics, and venues demonstrates Curino's focus on computational efficiency and data management challenges at the intersection of databases, artificial intelligence, and cloud computing environments. Their research outputs contribute to addressing optimization and scalability issues in advanced data processing systems.

Best Publications

  • Apache Hadoop YARN: yet another resource negotiator

    Vinod Kumar Vavilapalli;Arun C. Murthy;Chris Douglas;Sharad Agarwal

  • Schism: a workload-driven approach to database replication and partitioning

    Carlo Curino;Evan Jones;Yang Zhang;Sam Madden

  • Relational Cloud: A Database-as-a-Service for the Cloud

    Carlo Curino;Evan Philip Charles Jones;Raluca Ada Popa;Nirmesh Malviya

  • A data-oriented survey of context models

    Cristiana Bolchini;Carlo A. Curino;Elisa Quintarelli;Fabio A. Schreiber

  • OLTP-Bench: an extensible testbed for benchmarking relational databases

    Djellel Eddine Difallah;Andrew Pavlo;Carlo Curino;Philippe Cudre-Mauroux

  • Skew-aware automatic database partitioning in shared-nothing, parallel OLTP systems

    Andrew Pavlo;Carlo Curino;Stanley Zdonik

  • Relational Cloud: a Database Service for the cloud.

    Carlo Curino;Evan P. C. Jones;Raluca A. Popa;Nirmesh Malviya

  • Apache Tez: A Unifying Framework for Modeling and Building Data Processing Applications

    Bikas Saha;Hitesh Shah;Siddharth Seth;Gopal Vijayaraghavan

  • Morpheus: towards automated SLOs for enterprise clusters

    Sangeetha Abdu Jyothi;Carlo Curino;Ishai Menache;Shravan Matthur Narayanamurthy

  • Graceful database schema evolution: the PRISM workbench

    Carlo A. Curino;Hyun J. Moon;Carlo Zaniolo

  • Workload-aware database monitoring and consolidation

    Carlo Curino;Evan P.C. Jones;Samuel Madden;Hari Balakrishnan

  • Global analytics in the face of bandwidth and regulatory constraints

    Ashish Vulimiri;Carlo Curino;P. Brighten Godfrey;Thomas Jungblut

  • TinyLIME: bridging mobile and sensor networks through middleware

    C. Curino;M. Giani;M. Giorgetta;A. Giusti

  • Mercury: hybrid centralized and distributed scheduling in large shared clusters

    Konstantinos Karanasos;Sriram Rao;Carlo Curino;Chris Douglas

  • WANalytics: Geo-Distributed Analytics for a Data Intensive World

    Ashish Vulimiri;Carlo Curino;Philip Brighten Godfrey;Thomas Jungblut

  • Reservation-based Scheduling: If You're Late Don't Blame Us!

    Carlo Curino;Djellel E. Difallah;Chris Douglas;Subru Krishnan

  • SCHEMA EVOLUTION IN WIKIPEDIA - Toward a Web Information System Benchmark

    Carlo A. Curino;Hyun J. Moon;Letizia Tanca;Carlo Zaniolo

  • Automating the database schema evolution process

    Carlo Curino;Hyun Jin Moon;Alin Deutsch;Carlo Zaniolo

  • Performance and resource modeling in highly-concurrent OLTP workloads

    Barzan Mozafari;Carlo Curino;Alekh Jindal;Samuel Madden

  • Mobile data collection in sensor networks: The TinyLime middleware

    Carlo Curino;Matteo Giani;Marco Giorgetta;Alessandro Giusti

Frequent Co-Authors

Letizia Tanca
Letizia Tanca Polytechnic University of Milan
Raghu Ramakrishnan
Raghu Ramakrishnan Microsoft (United States)
Carlo Zaniolo
Carlo Zaniolo University of California, Los Angeles
Byung-Gon Chun
Byung-Gon Chun Seoul National University
Andrew Pavlo
Andrew Pavlo Carnegie Mellon University
Philippe Cudré-Mauroux
Philippe Cudré-Mauroux University of Fribourg
Eugene Wu
Eugene Wu Columbia University
Ishai Menache
Ishai Menache Microsoft (United States)

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