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Computer Science

D-Index
39
Citations
8123
World Ranking
9623
National Ranking
25

Overview

Rodrigo Rodrigues is affiliated with the Instituto Superior Técnico in Portugal. Their research spans primarily across the fields of Computer Science and Engineering, encompassing a total of 24 publications distributed among these disciplines.

The scientist's work focuses on several subfields of study, including:

  • Computer Networks and Communications
  • Information Systems
  • Artificial Intelligence
  • Mechanical Engineering
  • Ocean Engineering

The main topics Rodrigo Rodrigues has contributed to are:

  • Cloud Computing and Resource Management
  • Advanced Data Storage Technologies
  • Distributed Systems and Fault Tolerance
  • Structural Integrity and Reliability Analysis
  • Marine and Offshore Engineering Studies
  • Data Stream Mining Techniques
  • Machine Learning and Data Classification

Rodrigo Rodrigues has been involved in publications in several venues, including:

  • arXiv (Cornell University)
  • Offshore Technology Conference Brasil
  • Proceedings of the VLDB Endowment
  • IEEE Transactions on Parallel and Distributed Systems
  • Brazilian Journal of Development

Recent papers authored or coauthored by Rodrigo Rodrigues include:

  • "Do the best cloud configurations grow on trees?", 2020, Proceedings of the VLDB Endowment
  • "SconeKV: A Scalable, Strongly Consistent Key-Value Store", 2022, IEEE Transactions on Parallel and Distributed Systems
  • "Aion: Better Late than Never in Event-Time Streams", 2020, arXiv (Cornell University)
  • "Lazy State Determination: More concurrency for contending linearizable transactions", 2020, arXiv (Cornell University)
  • "A Quantitative Methodology to Introduce a Risk-Based Approach for Integrity Management for Jackets in Brazil", 2023, Offshore Technology Conference Brasil

Frequent collaborators in Rodrigo Rodrigues's work include:

  • Marco Serafini
  • João Leitão
  • Nuno Preguiça
  • Ricardo J. Dias
  • Almasa Sarabi

Best Publications

  • Towards trusted cloud computing

    Nuno Santos;Krishna P. Gummadi;Rodrigo Rodrigues

  • Peer-to-peer systems

    Rodrigo Rodrigues;Peter Druschel

  • High availability in DHTs: erasure coding vs. replication

    Rodrigo Rodrigues;Barbara Liskov

  • Efficient routing for peer-to-peer overlays

    Anjali Gupta;Barbara Liskov;Rodrigo Rodrigues

  • HQ replication: a hybrid quorum protocol for byzantine fault tolerance

    James Cowling;Daniel Myers;Barbara Liskov;Rodrigo Rodrigues

  • Incoop: MapReduce for incremental computations

    Pramod Bhatotia;Alexander Wieder;Rodrigo Rodrigues;Umut A. Acar

  • Making geo-replicated systems fast as possible, consistent when necessary

    Cheng Li;Daniel Porto;Allen Clement;Johannes Gehrke

  • High availability, scalable storage, dynamic peer networks: pick two

    Charles Blake;Rodrigo Rodrigues

  • One hop lookups for peer-to-peer overlays

    Anjali Gupta;Barbara Liskov;Rodrigo Rodrigues

  • Using abstraction to improve fault tolerance

    M. Castro;R. Rodrigues;B. Liskov

  • Policy-sealed data: a new abstraction for building trusted cloud services

    Nuno Santos;Rodrigo Rodrigues;Krishna P. Gummadi;Stefan Saroiu

  • BASE: using abstraction to improve fault tolerance

    Rodrigo Rodrigues;Miguel Castro;Barbara Liskov

  • BASE: Using abstraction to improve fault tolerance

    Miguel Castro;Rodrigo Rodrigues;Barbara Liskov

  • Putting consistency back into eventual consistency

    Valter Balegas;Sérgio Duarte;Carla Ferreira;Rodrigo Rodrigues

  • Accountable virtual machines

    Andreas Haeberlen;Paarijaat Aditya;Rodrigo Rodrigues;Peter Druschel

  • Zeno: eventually consistent Byzantine-fault tolerance

    Atul Singh;Pedro Fonseca;Petr Kuznetsov;Rodrigo Rodrigues

  • Shredder: GPU-accelerated incremental storage and computation

    Pramod Bhatotia;Rodrigo Rodrigues;Akshat Verma

  • Orchestrating the deployment of computations in the cloud with conductor

    Alexander Wieder;Pramod Bhatotia;Ansley Post;Rodrigo Rodrigues

  • Automating the choice of consistency levels in replicated systems

    Cheng Li;João Leitão;Allen Clement;Nuno Preguiça

  • Pixida: optimizing data parallel jobs in wide-area data analytics

    Konstantinos Kloudas;Margarida Mamede;Nuno Preguiça;Rodrigo Rodrigues

  • Presented as part of the 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12)

    Alexander Wieder;Pramod Bhatotia;Ansley Post;Rodrigo Rodrigues

Frequent Co-Authors

Peter Druschel
Peter Druschel Max Planck Institute for Software Systems
Johannes Gehrke
Johannes Gehrke Microsoft (United States)
Marc Shapiro
Marc Shapiro Sorbonne University
Krishna P. Gummadi
Krishna P. Gummadi Max Planck Institute for Software Systems
Miguel Castro
Miguel Castro Microsoft (United States)
Andreas Haeberlen
Andreas Haeberlen University of Pennsylvania
Petros Maniatis
Petros Maniatis Google (United States)
Viktor Vafeiadis
Viktor Vafeiadis Max Planck Institute for Software Systems

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