What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
His primary areas of study are Computer network, Distributed computing, Vehicular ad hoc network, Wireless and TCP acceleration.
His Computer network study integrates concerns from other disciplines, such as Wireless network, Real-time computing and Throughput.
His research in Distributed computing intersects with topics in Cache, Wireless ad hoc network, Network topology, Scheduling and Provisioning.
His Vehicular ad hoc network study integrates concerns from other disciplines, such as Embedded system, Mobile computing and Upload.
The study incorporates disciplines such as TCP Friendly Rate Control, Zeta-TCP and TCP global synchronization in addition to TCP acceleration.
In his research, Compound TCP is intimately related to H-TCP, which falls under the overarching field of TCP Westwood.
His most cited work include:
- TCP westwood: Bandwidth estimation for enhanced transport over wireless links (851 citations)
- TCP westwood: end-to-end congestion control for wired/wireless networks (393 citations)
- TCP Westwood: congestion window control using bandwidth estimation (153 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer network, Vehicular ad hoc network, Distributed computing, Wireless and Throughput.
His Computer network research is multidisciplinary, relying on both Wireless network, Real-time computing and Wireless ad hoc network.
His Real-time computing study combines topics from a wide range of disciplines, such as TCP global synchronization, TCP acceleration, TCP Westwood plus, TCP Friendly Rate Control and TCP Westwood.
His studies in Vehicular ad hoc network integrate themes in fields like Intelligent transportation system, Computer security, Protocol, Collision avoidance and Testbed.
His research integrates issues of Link-state routing protocol, Static routing and Policy-based routing in his study of Distributed computing.
Within one scientific family, Claudio Casetti focuses on topics pertaining to TCP congestion-avoidance algorithm under Throughput, and may sometimes address concerns connected to TCP hole punching.
He most often published in these fields:
- Computer network (72.83%)
- Vehicular ad hoc network (24.15%)
- Distributed computing (21.13%)
What were the highlights of his more recent work (between 2015-2021)?
- Computer network (72.83%)
- Vehicular ad hoc network (24.15%)
- Distributed computing (21.13%)
In recent papers he was focusing on the following fields of study:
Claudio Casetti spends much of his time researching Computer network, Vehicular ad hoc network, Distributed computing, Backhaul and Automotive industry.
His Computer network research integrates issues from Virtualization and Edge computing.
His Vehicular ad hoc network study is concerned with the larger field of Wireless.
Claudio Casetti has researched Wireless in several fields, including Information and Communications Technology and Base station.
His Distributed computing study combines topics in areas such as Scalability, Provisioning, Service and Slicing.
His Backhaul research is multidisciplinary, incorporating elements of Energy consumption, Network topology and Efficient energy use.
Between 2015 and 2021, his most popular works were:
- 5G-TRANSFORMER: Slicing and Orchestrating Transport Networks for Industry Verticals (50 citations)
- Mobility-aware edge caching for connected cars (44 citations)
- Service orchestration and federation for verticals (19 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
His scientific interests lie mostly in Computer network, Distributed computing, Cloud computing, Service and Resource management.
His is doing research in Backhaul, Cache, Network topology, Testbed and Mobile edge computing, both of which are found in Computer network.
His work deals with themes such as Wi-Fi Direct, Content discovery, Android and Node, which intersect with Network topology.
His Distributed computing research incorporates themes from Interface, Core network and Enhanced Data Rates for GSM Evolution, Edge computing.
His work carried out in the field of Cloud computing brings together such families of science as Spectrum management, IEEE 802 and Listen before talk.
His Service study incorporates themes from Use case, Computer architecture and Component.
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.
