What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Algorithm
Xiaojun Lin focuses on Scheduling, Distributed computing, Computer network, Wireless network and Throughput.
His Scheduling research is multidisciplinary, relying on both Network congestion and Mathematical optimization.
Xiaojun Lin has researched Distributed computing in several fields, including Resource allocation, Optimal control, Quality of service, Online algorithm and Job shop scheduling.
His research investigates the connection with Computer network and areas like Wireless ad hoc network which intersect with concerns in Mobile ad hoc network.
His Wireless network research is multidisciplinary, incorporating elements of Distributed algorithm, Network topology, Algorithm design and Fair-share scheduling.
In his study, which falls under the umbrella issue of Distributed algorithm, Processor scheduling is strongly linked to Queueing theory.
His most cited work include:
- A tutorial on cross-layer optimization in wireless networks (765 citations)
- The impact of imperfect scheduling on cross-layer rate control in wireless networks (421 citations)
- Joint rate control and scheduling in multihop wireless networks (394 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Scheduling, Distributed computing, Mathematical optimization, Computer network and Wireless network.
The various areas that Xiaojun Lin examines in his Scheduling study include Queueing theory and Throughput.
His specific area of interest is Distributed computing, where Xiaojun Lin studies Distributed algorithm.
His Mathematical optimization study combines topics from a wide range of disciplines, such as Key, Competitive analysis and Dynamic pricing.
His Computer network research integrates issues from Wireless, Wireless ad hoc network and Communication channel.
His studies in Wireless network integrate themes in fields like Algorithm design, Network topology, Upper and lower bounds and Low complexity.
He most often published in these fields:
- Scheduling (39.33%)
- Distributed computing (36.67%)
- Mathematical optimization (34.00%)
What were the highlights of his more recent work (between 2018-2021)?
- Energy storage (8.00%)
- Optimization problem (8.67%)
- Mathematical optimization (34.00%)
In recent papers he was focusing on the following fields of study:
Energy storage, Optimization problem, Mathematical optimization, Key and Distributed computing are his primary areas of study.
His work carried out in the field of Energy storage brings together such families of science as Duopoly, Bidding, Investment and Energy market.
In his study, which falls under the umbrella issue of Mathematical optimization, Robustification is strongly linked to Competitive analysis.
In Distributed computing, he works on issues like Storage virtualization, which are connected to News aggregator and End user.
His study explores the link between Online algorithm and topics such as Nonlinear system that cross with problems in Scheduling.
His research integrates issues of Beamforming, Throughput and Fading in his study of Scheduling.
Between 2018 and 2021, his most popular works were:
- Virtual Energy Storage Sharing and Capacity Allocation (19 citations)
- Dynamic Service Placement for Virtual Reality Group Gaming on Mobile Edge Cloudlets (8 citations)
- Closing the Gap for Coded Caching with Distinct File Sizes (5 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Algorithm
His primary scientific interests are in Mathematical optimization, Energy storage, Upper and lower bounds, Online algorithm and Competitive analysis.
His Mathematical optimization study incorporates themes from Routing and Probabilistic logic.
He interconnects Total cost, Duopoly, Electric power system, Bidding and Energy market in the investigation of issues within Energy storage.
His biological study spans a wide range of topics, including Multicast, Backhaul, Algorithm and Cache.
The study incorporates disciplines such as Control, Scheduling, Revocation and Look-ahead in addition to Online algorithm.
His study in Competitive analysis is interdisciplinary in nature, drawing from both Denial-of-service attack and Nonlinear system.
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