What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
Kadangode K. Ramakrishnan focuses on Computer network, Distributed computing, Network packet, Throughput and Network congestion.
His study looks at the relationship between Computer network and topics such as Virtual machine, which overlap with Virtualization.
His Distributed computing research is multidisciplinary, incorporating perspectives in Network architecture, Bandwidth and The Internet.
His Network packet study integrates concerns from other disciplines, such as Telecommunications network, Lossy compression and Bit error rate.
His Throughput research includes themes of Physical layer, Orthogonal frequency-division multiplexing, Backward compatibility, Electronic engineering and Error detection and correction.
His Network congestion course of study focuses on Network traffic control and Connectionless communication.
His most cited work include:
- The Addition of Explicit Congestion Notification (ECN) to IP (1249 citations)
- Recommendations on Queue Management and Congestion Avoidance in the Internet (1169 citations)
- A Proposal to add Explicit Congestion Notification (ECN) to IP (684 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Computer network, Distributed computing, Network packet, Real-time computing and Scalability.
His Computer network study frequently draws connections between related disciplines such as The Internet.
Kadangode K. Ramakrishnan has included themes like Network architecture, Bandwidth, Asynchronous Transfer Mode, Network topology and Cloud computing in his Distributed computing study.
His work deals with themes such as Telecommunications network and Throughput, which intersect with Network packet.
His study connects Communication channel and Real-time computing.
His studies in Network congestion integrate themes in fields like Flow control, Network traffic control, Connectionless communication and Packet loss.
He most often published in these fields:
- Computer network (69.27%)
- Distributed computing (25.07%)
- Network packet (19.95%)
What were the highlights of his more recent work (between 2017-2021)?
- Computer network (69.27%)
- Scalability (9.70%)
- Distributed computing (25.07%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Computer network, Scalability, Distributed computing, Network packet and Latency.
His Computer network research focuses on Server, Data center, Forwarding plane, Testbed and Packet processing.
His Scalability study incorporates themes from Plug-in, Network interface and Exploit.
Kadangode K. Ramakrishnan has researched Distributed computing in several fields, including Resource allocation, Enhanced Data Rates for GSM Evolution, Network Functions Virtualization, Cloud computing and Multiplexing.
His biological study spans a wide range of topics, including Internet protocol suite, Throughput and Next-generation network.
The study incorporates disciplines such as Frequency scaling, Queue, Open source and Inference in addition to Latency.
Between 2017 and 2021, his most popular works were:
- Microboxes: high performance NFV with customizable, asynchronous TCP stacks and dynamic subscriptions (22 citations)
- REINFORCE: achieving efficient failure resiliency for network function virtualization based services (19 citations)
- ClusPR: Balancing Multiple Objectives at Scale for NFV Resource Allocation (16 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
His primary areas of investigation include Computer network, Latency, Software, Server and Scalability.
His work on Computer network is being expanded to include thematically relevant topics such as Throughput.
He interconnects Function as a service, Workload, Open source and Speedup in the investigation of issues within Latency.
Kadangode K. Ramakrishnan works mostly in the field of Software, limiting it down to topics relating to Packet processing and, in certain cases, Correctness and Fault tolerance, as a part of the same area of interest.
He combines subjects such as QUIC, Quality of service, Constrained Application Protocol, Message queue and Application layer with his study of Server.
His study in Scalability is interdisciplinary in nature, drawing from both Namespace, Information Dissemination and Distributed computing.
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