What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
Xiaolong Xu mainly focuses on Distributed computing, Edge computing, Computation offloading, Computer network and The Internet.
His Distributed computing research includes themes of Scheduling and Resource allocation.
His Resource allocation research is multidisciplinary, incorporating elements of Load balancing, Cloud computing security and Fog computing.
Xiaolong Xu has included themes like Genetic algorithm and Mobile device in his Edge computing study.
Xiaolong Xu performs integrative study on Computer network and Shortest path problem.
The study incorporates disciplines such as Server and Big data in addition to The Internet.
His most cited work include:
- A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems (112 citations)
- A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems (112 citations)
- A computation offloading method over big data for IoT-enabled cloud-edge computing (106 citations)
What are the main themes of his work throughout his whole career to date?
Xiaolong Xu focuses on Distributed computing, Edge computing, Computer network, Computation offloading and Mobile device.
Xiaolong Xu interconnects Scheduling, Dynamic priority scheduling, Provisioning and Workflow in the investigation of issues within Distributed computing.
His Scheduling research focuses on Quality of service and how it relates to Recommender system.
In his study, Big data is strongly linked to The Internet, which falls under the umbrella field of Edge computing.
His studies deal with areas such as Genetic algorithm and Mobile edge computing as well as Computation offloading.
Xiaolong Xu studies Cloudlet, a branch of Mobile device.
He most often published in these fields:
- Distributed computing (51.30%)
- Edge computing (35.71%)
- Computer network (31.82%)
What were the highlights of his more recent work (between 2019-2021)?
- Edge computing (35.71%)
- Computer network (31.82%)
- Distributed computing (51.30%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Edge computing, Computer network, Distributed computing, Server and The Internet.
He is involved in the study of Edge computing that focuses on Computation offloading in particular.
He has researched Computer network in several fields, including Optimization problem and Mobile device.
The concepts of his Distributed computing study are interwoven with issues in Evolutionary algorithm, Scheduling, Job shop scheduling and Big data.
His study in Scheduling is interdisciplinary in nature, drawing from both Quality of service and Multi-user.
His work deals with themes such as Information privacy, Service and Sensor fusion, which intersect with Server.
Between 2019 and 2021, his most popular works were:
- A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems (112 citations)
- A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems (112 citations)
- BeCome: Blockchain-Enabled Computation Offloading for IoT in Mobile Edge Computing (103 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
Xiaolong Xu mainly investigates Edge computing, Distributed computing, Scheduling, Quality of service and Computer network.
His work on Computation offloading as part of general Edge computing study is frequently connected to Resource utilization, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Computation offloading research is multidisciplinary, relying on both Resource allocation and Task.
His Distributed computing study combines topics from a wide range of disciplines, such as Provisioning and Job shop scheduling.
His research investigates the link between Scheduling and topics such as Workflow that cross with problems in Private information retrieval, Cloudlet, Multimedia, Blockchain and Mobile cloud computing.
His study in Computer network is interdisciplinary in nature, drawing from both Optimization problem and Enhanced Data Rates for GSM Evolution.
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