What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
His main research concerns Computer network, Distributed computing, Network packet, Zeta-TCP and Network congestion.
Shivkumar Kalyanaraman has researched Computer network in several fields, including Wireless network and Virtual machine.
His Distributed computing research is multidisciplinary, incorporating perspectives in Network traffic simulation, Network topology, Open Shortest Path First and Routing protocol.
His Network packet study incorporates themes from Routing, Identifier, Network Service Access Point Identifier and Goodput.
His work carried out in the field of Zeta-TCP brings together such families of science as TCP Friendly Rate Control, TCP global synchronization and TCP acceleration.
His Network congestion research integrates issues from IP header, Bottleneck and Bandwidth allocation.
His most cited work include:
- On the capacity improvement of ad hoc wireless networks using directional antennas (484 citations)
- The ERICA switch algorithm for ABR traffic management in ATM networks (218 citations)
- One more bit is enough (134 citations)
What are the main themes of his work throughout his whole career to date?
Computer network, Distributed computing, Network packet, Real-time computing and Network congestion are his primary areas of study.
His Computer network study combines topics in areas such as Wireless network and The Internet.
The Distributed computing study combines topics in areas such as Network topology, Scalability, Open Shortest Path First and Routing protocol.
His Network packet research incorporates elements of Goodput and Throughput.
His Real-time computing research incorporates themes from Variable bitrate and Forward error correction.
His Network congestion research is multidisciplinary, incorporating perspectives in Network traffic control, Bottleneck and Multicast.
He most often published in these fields:
- Computer network (58.42%)
- Distributed computing (19.93%)
- Network packet (14.78%)
What were the highlights of his more recent work (between 2012-2020)?
- Computer network (58.42%)
- Photovoltaic system (3.44%)
- Real-time computing (11.68%)
In recent papers he was focusing on the following fields of study:
Shivkumar Kalyanaraman mainly focuses on Computer network, Photovoltaic system, Real-time computing, Electrical engineering and Wireless.
Computer network is a component of his Base station, Scheduling, Bandwidth, Cellular network and Network packet studies.
His research investigates the connection with Network packet and areas like Routing which intersect with concerns in Queueing theory and Distributed computing.
His Photovoltaic system research includes elements of Reflection, Environmental economics, Simulation and Inverter.
His Real-time computing research is multidisciplinary, relying on both Quality, Computer program, Session and Spatial analysis.
His work deals with themes such as Ranking, Collaborative filtering and Analytics, which intersect with Wireless.
Between 2012 and 2020, his most popular works were:
- PROVIDING AUTOMATED QUALITY-OF-SERVICE ('QoS') FOR VIRTUAL MACHINE MIGRATION ACROSS A SHARED DATA CENTER NETWORK (40 citations)
- Inferring connectivity model from meter measurements in distribution networks (35 citations)
- PV generation and demand mismatch: Evaluating the potential of residential storage (35 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
Shivkumar Kalyanaraman mostly deals with Computer network, Real-time computing, Base station, Set and Computer program.
His work in Blocking, Queueing theory, Linear network coding, Network packet and Routing are all subfields of Computer network research.
His biological study spans a wide range of topics, including Mobile station, Data transmission, Telecommunications network, Mobile device and Mobile broadband.
He works mostly in the field of Base station, limiting it down to concerns involving Wireless and, occasionally, Variable bitrate, Greedy algorithm and Server.
His studies deal with areas such as Energy consumption, Node, Energy and Grid energy storage as well as Computer program.
His study looks at the relationship between Wireless network and topics such as Scheduling, which overlap with Communication channel, Wi-Fi array, Quality of experience, Electricity and Embedded system.
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.
