What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
Sambit Sahu spends much of his time researching Computer network, Cloud computing, Distributed computing, Operating system and Provisioning.
The concepts of his Computer network study are interwoven with issues in Overlay and The Internet.
His studies in Cloud computing integrate themes in fields like Scalability, World Wide Web and System administrator.
His work deals with themes such as Utility computing, State, Greedy algorithm and Modular design, which intersect with Distributed computing.
His work on Virtual machine, Network interface controller and Communications protocol as part of general Operating system study is frequently linked to Large segment offload, bridging the gap between disciplines.
His Provisioning study incorporates themes from Elasticity, Marginal cost, Cloud testing, Live migration and Virtual reality.
His most cited work include:
- Moveable access control list (acl) mechanisms for hypervisors and virtual machines and virtual port firewalls (272 citations)
- A Cost-Aware Elasticity Provisioning System for the Cloud (212 citations)
- CloudNaaS: a cloud networking platform for enterprise applications (207 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Computer network, Distributed computing, Cloud computing, The Internet and World Wide Web.
His Computer network research is multidisciplinary, incorporating elements of Overlay and Overlay network.
His work carried out in the field of Distributed computing brings together such families of science as Scalability, Bandwidth, Server, Partition and Component.
His Cloud computing research includes elements of Computer security, Real-time computing, Provisioning and Software deployment.
His biological study spans a wide range of topics, including Virtual machine and Admission control.
His The Internet research includes themes of Hot spot, Crowds and Robustness.
He most often published in these fields:
- Computer network (31.36%)
- Distributed computing (20.71%)
- Cloud computing (13.02%)
What were the highlights of his more recent work (between 2012-2019)?
- Cloud computing (13.02%)
- Distributed computing (20.71%)
- Data mining (7.69%)
In recent papers he was focusing on the following fields of study:
Cloud computing, Distributed computing, Data mining, World Wide Web and Artificial intelligence are his primary areas of study.
He is studying Cloud testing, which is a component of Cloud computing.
His work in Distributed computing addresses issues such as Provisioning, which are connected to fields such as Live migration, Marginal cost, Greedy algorithm, System administrator and Scalability.
His Data mining study combines topics from a wide range of disciplines, such as Smart meter and Data set.
His Upload study, which is part of a larger body of work in World Wide Web, is frequently linked to Conjunction, bridging the gap between disciplines.
His Artificial intelligence research integrates issues from Virtual finite-state machine, Machine learning, TRIPS architecture and Computer vision.
Between 2012 and 2019, his most popular works were:
- The dubuque electricity portal: evaluation of a city-scale residential electricity consumption feedback system (59 citations)
- Cost-Aware Cloud Bursting for Enterprise Applications (52 citations)
- Rethinking the physical layer of data center networks of the next decade: using optics to enable efficient *-cast connectivity (43 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
The scientist’s investigation covers issues in Data mining, Distributed computing, Environmental economics, Real-time computing and Smart meter.
The various areas that Sambit Sahu examines in his Data mining study include Geolocation, Data science and Mobile broadband.
The study incorporates disciplines such as Data center, Computer network, Bandwidth and Physical layer in addition to Distributed computing.
His studies deal with areas such as Self-organizing map and Cluster analysis as well as Environmental economics.
His study brings together the fields of Data set and Real-time computing.
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