What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
Fangming Liu mainly investigates Cloud computing, Distributed computing, Computer network, Server and Load balancing.
The Cloud computing study which covers Virtual machine that intersects with Virtualization.
His studies in Distributed computing integrate themes in fields like Data center, Mobile computing, Mobile cloud computing, Online algorithm and Dynamic bandwidth allocation.
His research in the fields of Scheduling and Bandwidth allocation overlaps with other disciplines such as Lyapunov optimization.
His research investigates the connection with Server and areas like Service which intersect with concerns in Provisioning and Routing.
His Load balancing research includes themes of Green computing and Software-defined networking.
His most cited work include:
- Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications (266 citations)
- On-chip generation and manipulation of entangled photons based on reconfigurable lithium-niobate waveguide circuits. (192 citations)
- Managing Performance Overhead of Virtual Machines in Cloud Computing: A Survey, State of the Art, and Future Directions (182 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Cloud computing, Distributed computing, Server, Computer network and The Internet.
His Cloud computing research is multidisciplinary, relying on both Virtual machine, Scalability and Real-time computing.
His Load balancing study in the realm of Distributed computing interacts with subjects such as Load management.
His Server study combines topics from a wide range of disciplines, such as Virtualization, Service, Virtual network, Software and Provisioning.
His work on Bandwidth, Bandwidth allocation and Dynamic bandwidth allocation as part of general Computer network research is frequently linked to Resource management, thereby connecting diverse disciplines of science.
His The Internet study which covers Multimedia that intersects with Software deployment.
He most often published in these fields:
- Cloud computing (42.02%)
- Distributed computing (40.34%)
- Server (39.50%)
What were the highlights of his more recent work (between 2019-2021)?
- Distributed computing (40.34%)
- Server (39.50%)
- Cloud computing (42.02%)
In recent papers he was focusing on the following fields of study:
Fangming Liu mostly deals with Distributed computing, Server, Cloud computing, Edge device and Computer network.
His work carried out in the field of Distributed computing brings together such families of science as Payment, Service and Network packet.
His Server research is multidisciplinary, incorporating perspectives in Quality of service, Bottleneck, Provisioning and Speedup.
The study incorporates disciplines such as Field-programmable gate array, Software portability and Bandwidth in addition to Cloud computing.
His Edge device research focuses on subjects like Mobile edge computing, which are linked to Virtual network, Search algorithm and Integer programming.
His Computer network research integrates issues from Wireless and Optimization problem.
Between 2019 and 2021, his most popular works were:
- On-Edge Multi-Task Transfer Learning: Model and Practice With Data-Driven Task Allocation (9 citations)
- Latency-aware VNF Chain Deployment with Efficient Resource Reuse at Network Edge (8 citations)
- A Truthful and Efficient Incentive Mechanism for Demand Response in Green Datacenters (8 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
Fangming Liu mainly focuses on Distributed computing, Edge device, Data modeling, Payment and Load management.
As part of his studies on Distributed computing, Fangming Liu often connects relevant subjects like Search algorithm.
His work deals with themes such as Greedy algorithm, Virtual network, Provisioning, Server and Integer programming, which intersect with Search algorithm.
The Data modeling study combines topics in areas such as Transfer of learning and Knapsack problem.
Fangming Liu has included themes like Distributed algorithm and Cloud computing in his Payment study.
Fangming Liu connects Load management with Demand response in his study.
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