What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
Rodrigo Fonseca mostly deals with Computer network, Wireless sensor network, Network packet, Wireless and Real-time computing.
His Computer network research includes themes of Scalability and Key.
Rodrigo Fonseca has included themes like Wireless network, Key distribution in wireless sensor networks and Wireless WAN in his Wireless sensor network study.
His study in the field of Link layer is also linked to topics like Network layer.
He has researched Real-time computing in several fields, including Network topology and Routing protocol.
His biological study spans a wide range of topics, including Latency and Datapath.
His most cited work include:
- Collection tree protocol (1250 citations)
- X-trace: a pervasive network tracing framework (407 citations)
- Four-Bit Wireless Link Estimation. (329 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer network, Distributed computing, Tracing, The Internet and Real-time computing.
His study in Network packet, Quality of service, Server, Routing protocol and Wireless sensor network is carried out as part of his studies in Computer network.
As a part of the same scientific study, Rodrigo Fonseca usually deals with the Network packet, concentrating on Wireless and frequently concerns with Point-to-point.
His study in Distributed computing is interdisciplinary in nature, drawing from both Instrumentation and Workflow.
The Tracing study which covers Component that intersects with Troubleshooting.
His Real-time computing research incorporates themes from Testbed and Collection Tree Protocol.
He most often published in these fields:
- Computer network (41.18%)
- Distributed computing (40.00%)
- Tracing (12.94%)
What were the highlights of his more recent work (between 2014-2020)?
- Distributed computing (40.00%)
- Tracing (12.94%)
- Computer network (41.18%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Distributed computing, Tracing, Computer network, Component and Troubleshooting.
Rodrigo Fonseca interconnects Queue and Debugging in the investigation of issues within Distributed computing.
His Debugging study combines topics in areas such as Instruction set and Network packet.
His studies in Tracing integrate themes in fields like Metadata and Overhead.
Much of his study explores Computer network relationship to Bottleneck.
His Bottleneck study integrates concerns from other disciplines, such as Latency, Temporal isolation among virtual machines, Quality of service, Low overhead and Encryption.
Between 2014 and 2020, his most popular works were:
- Pivot tracing: dynamic causal monitoring for distributed systems (111 citations)
- Efficient queue management for cluster scheduling (75 citations)
- Retro: Targeted resource management in multi-tenant distributed systems (55 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
Rodrigo Fonseca mainly investigates Distributed computing, Yarn, Tracing, Scheduling and Polling.
His research integrates issues of Software bug, Latency and Workflow in his study of Distributed computing.
There are a combination of areas like Temporal isolation among virtual machines, Quality of service, Low overhead, Bottleneck and Computer network integrated together with his Yarn study.
His research ties Key and Tracing together.
His work carried out in the field of Scheduling brings together such families of science as Queue, Queueing theory, Queue management system and Big data.
His Polling research is multidisciplinary, incorporating elements of Computer security, Android and Mobile device.
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