What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
The scientist’s investigation covers issues in Computer network, Distributed computing, Real-time computing, Computer security and Network packet.
His work on Scheduling, Network congestion and Weighted fair queueing as part of general Computer network study is frequently linked to Weighted round robin, bridging the gap between disciplines.
His work deals with themes such as Web server, Reliability, Scalability and Usability, which intersect with Distributed computing.
His studies deal with areas such as Transmission, Traffic mix, Constant bitrate and Burstiness as well as Real-time computing.
His Computer security study integrates concerns from other disciplines, such as Telecommunications and The Internet.
Srinivasan Keshav has included themes like Transfer and Server in his Network packet study.
His most cited work include:
- Analysis and simulation of a fair queueing algorithm (1356 citations)
- A control-theoretic approach to flow control (732 citations)
- An Engineering Approach to Computer Networking: ATM Networks, the Internet, and the Telephone Network (441 citations)
What are the main themes of his work throughout his whole career to date?
Srinivasan Keshav focuses on Computer network, Distributed computing, Real-time computing, The Internet and Simulation.
His research links Wireless with Computer network.
His Distributed computing study deals with Server intersecting with Data center.
As a part of the same scientific study, he usually deals with the The Internet, concentrating on Computer security and frequently concerns with Telecommunications.
His studies in Simulation integrate themes in fields like Reliability engineering and Smart grid.
Srinivasan Keshav works mostly in the field of Network packet, limiting it down to topics relating to Node and, in certain cases, Acknowledgement, as a part of the same area of interest.
He most often published in these fields:
- Computer network (30.74%)
- Distributed computing (19.48%)
- Real-time computing (12.55%)
What were the highlights of his more recent work (between 2016-2020)?
- Database transaction (3.03%)
- Computer network (30.74%)
- Transactions per second (2.60%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Database transaction, Computer network, Transactions per second, Scalability and Photovoltaic system.
In his research on the topic of Database transaction, Server, Liveness and Overlay is strongly related with Distributed database.
His Computer network research is multidisciplinary, relying on both State and Blockchain.
As part of one scientific family, he deals mainly with the area of Transactions per second, narrowing it down to issues related to the Throughput, and often Overhead, Focus, Interface and Variety.
His research in Scalability intersects with topics in Data access, Low latency, Throughput and Internet privacy.
His Photovoltaic system study combines topics in areas such as Electricity, Sizing, Mathematical optimization and Solar energy.
Between 2016 and 2020, his most popular works were:
- FastFabric: Scaling Hyperledger Fabric to 20,000 Transactions per Second (74 citations)
- The relative importance of price and driving range on electric vehicle adoption: Los Angeles case study (45 citations)
- Challenge: RFID Hacking for Fun and Profit (21 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
His main research concerns Variety, Distributed computing, Transport engineering, Sizing and Robustness.
His work carried out in the field of Variety brings together such families of science as Database transaction, Transactions per second, Interface, Throughput and Focus.
The study incorporates disciplines such as Scalability, Overhead and Throughput in addition to Distributed computing.
In the field of Transport engineering, his study on Mode choice and Transit overlaps with subjects such as Sample, Qualitative research and Sustainable transport.
Srinivasan Keshav focuses mostly in the field of Sizing, narrowing it down to matters related to Robust optimization and, in some cases, Photovoltaic system.
His Robustness study combines topics from a wide range of disciplines, such as Unique identifier, Radio frequency, Real-time computing and RSS.
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