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.
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.
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.
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.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
BeCome: Blockchain-Enabled Computation Offloading for IoT in Mobile Edge Computing
Xiaolong Xu;Xuyun Zhang;Honghao Gao;Yuan Xue.
IEEE Transactions on Industrial Informatics (2020)
A computation offloading method over big data for IoT-enabled cloud-edge computing
Xiaolong Xu;Xiaolong Xu;Qingxiang Liu;Yun Luo;Kai Peng.
Future Generation Computer Systems (2019)
A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems
Lianyong Qi;Yi Chen;Yuan Yuan;Shucun Fu.
World Wide Web (2020)
An edge computing-enabled computation offloading method with privacy preservation for internet of connected vehicles
Xiaolong Xu;Xiaolong Xu;Yuan Xue;Lianyong Qi;Yuan Yuan.
Future Generation Computer Systems (2019)
EnReal : An Energy-Aware Resource Allocation Method for Scientific Workflow Executions in Cloud Environment
Xiaolong Xu;Wanchun Dou;Xuyun Zhang;Jinjun Chen.
ieee international conference on cloud computing technology and science (2016)
Big data challenges and opportunities in the hype of Industry 4.0
Maqbool Khan;Xiaotong Wu;Xiaolong Xu;Wanchun Dou.
international conference on communications (2017)
Deep Learning Models for Real-time Human Activity Recognition with Smartphones
Shaohua Wan;Shaohua Wan;Lianyong Qi;Xiaolong Xu;Chao Tong.
Mobile Networks and Applications (2020)
An energy-aware computation offloading method for smart edge computing in wireless metropolitan area networks
Xiaolong Xu;Xiaolong Xu;Yuancheng Li;Tao Huang;Yuan Xue.
Journal of Network and Computer Applications (2019)
Finding All You Need: Web APIs Recommendation in Web of Things Through Keywords Search
Lianyong Qi;Qiang He;Feifei Chen;Wanchun Dou.
IEEE Transactions on Computational Social Systems (2019)
Time-aware distributed service recommendation with privacy-preservation
Lianyong Qi;Ruili Wang;Chunhua Hu;Shancang Li.
Information Sciences (2019)
Profile was last updated on December 6th, 2021.
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