What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
Luís Rodrigues focuses on Distributed computing, Computer network, Scalability, Replication and Fault tolerance.
Particularly relevant to Protocol Independent Multicast is his body of work in Distributed computing.
His studies in Scalability integrate themes in fields like Quality of service, Flooding and Intelligent Network.
The study incorporates disciplines such as Distributed algorithm, Complex system, Isolation and Java applet in addition to Replication.
His Fault tolerance research is multidisciplinary, incorporating elements of Algorithm, Real-time computing, Clock synchronization and Broadcasting.
He has researched Inter-domain in several fields, including Reliable multicast and Pragmatic General Multicast.
His most cited work include:
- Distributed Systems for System Architects (170 citations)
- Introduction to Reliable Distributed Programming (153 citations)
- Appia, a flexible protocol kernel supporting multiple coordinated channels (152 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Distributed computing, Computer network, Protocol, Replication and Fault tolerance.
The various areas that Luís Rodrigues examines in his Distributed computing study include Consistency, Scalability, Atomic broadcast and Adaptation.
Luís Rodrigues has included themes like Overlay network and Wireless ad hoc network in his Computer network study.
His Replication study combines topics in areas such as Middleware, Overhead, Transaction processing and Software transactional memory.
Luís Rodrigues interconnects Algorithm and Dependability in the investigation of issues within Fault tolerance.
His work carried out in the field of Mobile ad hoc network brings together such families of science as Ad hoc wireless distribution service and Optimized Link State Routing Protocol.
He most often published in these fields:
- Distributed computing (60.90%)
- Computer network (31.20%)
- Protocol (11.65%)
What were the highlights of his more recent work (between 2013-2020)?
- Distributed computing (60.90%)
- Cloud computing (6.39%)
- Computer network (31.20%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Distributed computing, Cloud computing, Computer network, Concurrency and Geo-replication.
In his research, Luís Rodrigues performs multidisciplinary study on Distributed computing and Causal consistency.
His biological study spans a wide range of topics, including Quality of service, Bandwidth allocation, Provisioning and Community network.
His Computer network research incorporates themes from Overlay, Overlay network, The Internet and Leverage.
His work deals with themes such as Real-time computing, Production and Debugging, which intersect with Concurrency.
His research integrates issues of Enhanced Data Rates for GSM Evolution, Atomic broadcast, Protocol, Completeness and Evolutionary game theory in his study of Service.
Between 2013 and 2020, his most popular works were:
- Virtues and limitations of commodity hardware transactional memory (47 citations)
- AutoPlacer: Scalable Self-Tuning Data Placement in Distributed Key-Value Stores (33 citations)
- Saturn: a Distributed Metadata Service for Causal Consistency (31 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
Luís Rodrigues mainly focuses on Distributed computing, Concurrency, Scalability, Cloud computing and Causal consistency.
His work on Byzantine consensus as part of general Distributed computing study is frequently connected to Byzantine architecture, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Concurrency course of study focuses on Debugging and Event, Parallel computing, Schedule, Symbolic execution and Thread.
His Scalability study integrates concerns from other disciplines, such as Load balancing, Data placement, Data structure and Network congestion.
His Cloud computing study combines topics from a wide range of disciplines, such as Provisioning, Key and Transient.
Luís Rodrigues combines subjects such as Replication, Service, Set, Atomic broadcast and Fault tolerance with his study of Serialization.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
