What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
Kang-Won Lee mostly deals with Computer network, Distributed computing, Cloud computing, Virtual machine and Real-time computing.
Kang-Won Lee combines subjects such as Key and Video quality with his study of Computer network.
The study incorporates disciplines such as Network architecture, Scalability, Service, Server and Mobile computing in addition to Distributed computing.
His work in Server addresses subjects such as Scheme, which are connected to disciplines such as Resource allocation.
His Cloud computing research is multidisciplinary, incorporating elements of Bidding and Graph.
The various areas that Kang-Won Lee examines in his Real-time computing study include Set and Data mining.
His most cited work include:
- Application-aware virtual machine migration in data centers (205 citations)
- The TIMELY adaptive resource management architecture (133 citations)
- Internet robot detection for network distributable markup (130 citations)
What are the main themes of his work throughout his whole career to date?
Computer network, Distributed computing, Real-time computing, Server and Node are his primary areas of study.
His Computer network research includes elements of Wireless, Wireless ad hoc network and Wireless network.
His Distributed computing research incorporates themes from Network architecture, Scalability, Resource allocation, Network topology and Scheduling.
Kang-Won Lee has researched Resource allocation in several fields, including Cloud computing and Theoretical computer science.
His studies in Server integrate themes in fields like Scheme and Workload.
His Mobile ad hoc network research includes themes of Content management, Mobile device and Mobile computing.
He most often published in these fields:
- Computer network (51.82%)
- Distributed computing (38.69%)
- Real-time computing (10.22%)
What were the highlights of his more recent work (between 2010-2017)?
- Computer network (51.82%)
- Distributed computing (38.69%)
- Cloud computing (7.30%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computer network, Distributed computing, Cloud computing, Scheduling and Wireless.
His work deals with themes such as Wireless network and Mobile device, which intersect with Computer network.
The Distributed computing study combines topics in areas such as Default gateway, Network topology and Network architecture, Network management station.
His Network topology research is multidisciplinary, incorporating perspectives in Key and Topology.
The concepts of his Cloud computing study are interwoven with issues in Graph, Resource allocation, Theoretical computer science, Bidding and Server.
His Wireless study incorporates themes from Set and Mobile computing.
Between 2010 and 2017, his most popular works were:
- Application-aware virtual machine migration in data centers (205 citations)
- Optimal bidding in spot instance market (123 citations)
- Optimal Bids for Spot VMs in a Cloud for Deadline Constrained Jobs (79 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
His primary scientific interests are in Computer network, Distributed computing, Cloud computing, Server and Theoretical computer science.
His work on Transmission scheduling as part of general Computer network study is frequently linked to Internet of Things, therefore connecting diverse disciplines of science.
Kang-Won Lee interconnects Network architecture, Network management station, Wireless, Scalability and Network topology in the investigation of issues within Distributed computing.
His research integrates issues of Graph, Bidding and Real-time computing in his study of Cloud computing.
His Server research integrates issues from Computer program, Scheduling, Virtual machine and Resource allocation.
The concepts of his Theoretical computer science study are interwoven with issues in Routing and Mobility model.
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