What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
Steve Uhlig mainly investigates Computer network, The Internet, Traffic engineering, Distributed computing and Routing.
His study looks at the relationship between Computer network and topics such as Internet traffic, which overlap with Border Gateway Protocol and Table.
The concepts of his The Internet study are interwoven with issues in Scalability and Data science.
His Distributed computing study integrates concerns from other disciplines, such as Forwarding plane, Policy-based routing, Routing table, Hierarchical routing and Geographic routing.
Steve Uhlig has included themes like Zipf's law, Virtualization and Volume in his Software-defined networking study.
The OpenFlow study combines topics in areas such as Network management, Telecommunications network, Cloud computing, Network virtualization and Separation of concerns.
His most cited work include:
- Software-Defined Networking: A Comprehensive Survey (2549 citations)
- Providing public intradomain traffic matrices to the research community (294 citations)
- IP geolocation databases: unreliable? (237 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Computer network, The Internet, Distributed computing, Traffic engineering and Scalability.
His Computer network study deals with Internet traffic intersecting with Traffic generation model.
His study focuses on the intersection of The Internet and fields such as Server with connections in the field of Computer security.
His studies deal with areas such as Network topology and Static routing as well as Distributed computing.
In his study, Cloud computing is strongly linked to Software-defined networking, which falls under the umbrella field of Scalability.
His Border Gateway Protocol research focuses on Default-free zone and how it relates to Autonomous system.
He most often published in these fields:
- Computer network (43.90%)
- The Internet (32.68%)
- Distributed computing (19.51%)
What were the highlights of his more recent work (between 2016-2021)?
- The Internet (32.68%)
- Computer network (43.90%)
- Server (9.27%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in The Internet, Computer network, Server, Software-defined networking and Distributed computing.
His work focuses on many connections between The Internet and other disciplines, such as Telecommunications, that overlap with his field of interest in Active measurement.
His study connects Cloud computing and Computer network.
His research on Server also deals with topics like
- Computer security together with Overhead,
- Protocol which is related to area like Embedded system.
As a part of the same scientific family, Steve Uhlig mostly works in the field of Software-defined networking, focusing on Forwarding plane and, on occasion, Network emulation and OpenFlow.
Metric, Quality of experience, Network monitoring, Overhead and Routing protocol is closely connected to Network topology in his research, which is encompassed under the umbrella topic of Distributed computing.
Between 2016 and 2021, his most popular works were:
- Elastic sketch: adaptive and fast network-wide measurements (120 citations)
- Open Connect Everywhere: A Glimpse at the Internet Ecosystem through the Lens of the Netflix CDN (48 citations)
- Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing (29 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
His scientific interests lie mostly in Computer network, Server, The Internet, Focus and Algorithm.
He integrates Computer network with Control theory in his research.
The various areas that Steve Uhlig examines in his Server study include Computer security, Web page, Overhead, Protocol and Empirical research.
His Internet exchange point study, which is part of a larger body of work in The Internet, is frequently linked to Through-the-lens metering, bridging the gap between disciplines.
Steve Uhlig interconnects Anomaly detection, Overhead, Traffic engineering and Network packet in the investigation of issues within Algorithm.
His Data center research is multidisciplinary, incorporating elements of Scalability, Distributed computing, Distributed database, Datapath and Cloud computing.
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