Quality of service, Distributed computing, Database, Provisioning and Mobile device are his primary areas of study. Wanchun Dou has included themes like End user, Data mining, Big data and Cloud testing in his Quality of service study. His Big data research focuses on subjects like Information retrieval, which are linked to Hash function.
His research in Distributed computing intersects with topics in Energy consumption, Workflow and Job shop scheduling. Wanchun Dou studied Database and Service quality that intersect with Mobile QoS, App store and Multimedia. His Mobile device research is multidisciplinary, incorporating perspectives in Industrial engineering, Field, Crowdsourcing, Task and Variety.
His scientific interests lie mostly in Distributed computing, Computer network, Web service, Big data and Scheduling. In Distributed computing, he works on issues like Energy consumption, which are connected to Server and Computation offloading. His work carried out in the field of Computer network brings together such families of science as Edge computing, The Internet and Mobile device.
Wanchun Dou combines subjects such as Quality of service, Differentiated service and Database with his study of Web service. His studies deal with areas such as Data mining, Service and Mobile QoS as well as Quality of service. His Big data research is multidisciplinary, relying on both Computer security and Scalability.
Wanchun Dou spends much of his time researching Computer network, Edge computing, Server, Enhanced Data Rates for GSM Evolution and The Internet. His biological study spans a wide range of topics, including Throughput and Mobile data offloading. The concepts of his Server study are interwoven with issues in Service, Energy consumption, Scheduling, Bandwidth and Mobile device.
His research investigates the connection between Enhanced Data Rates for GSM Evolution and topics such as TOPSIS that intersect with problems in Mobile edge computing and Data mining. As a part of the same scientific study, Wanchun Dou usually deals with the Resource allocation, concentrating on Reinforcement learning and frequently concerns with Quality of service. Wanchun Dou works mostly in the field of Quality of service, limiting it down to concerns involving Cloud testing and, occasionally, Big data.
Wanchun Dou mainly investigates Big data, Quality of service, Distributed computing, Enhanced Data Rates for GSM Evolution and The Internet. His Big data research is multidisciplinary, incorporating elements of Service quality, Service provider, Database and Cloud testing. Quality of service and Locality-sensitive hashing are two areas of study in which Wanchun Dou engages in interdisciplinary work.
His work deals with themes such as Blockchain and Workflow, which intersect with Distributed computing. In general Enhanced Data Rates for GSM Evolution study, his work on Edge computing often relates to the realm of Resource, thereby connecting several areas of interest. His The Internet study which covers Differential privacy that intersects with Mobile device and Hash function.
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.
Predicted Packet Padding for Anonymous Web Browsing Against Traffic Analysis Attacks
Shui Yu;Guofeng Zhao;Wanchun Dou;S. James.
IEEE Transactions on Information Forensics and Security (2012)
KASR: A Keyword-Aware Service Recommendation Method on MapReduce for Big Data Applications
Shunmei Meng;Wanchun Dou;Xuyun Zhang;Jinjun Chen.
IEEE Transactions on Parallel and Distributed Systems (2014)
Networking for Big Data: A Survey
Shui Yu;Meng Liu;Wanchun Dou;Xiting Liu.
IEEE Communications Surveys and Tutorials (2017)
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)
HireSome-II: Towards Privacy-Aware Cross-Cloud Service Composition for Big Data Applications
Wanchun Dou;Xuyun Zhang;Jianxun Liu;Jinjun Chen.
IEEE Transactions on Parallel and Distributed Systems (2015)
A Distributed Locality-Sensitive Hashing-Based Approach for Cloud Service Recommendation From Multi-Source Data
Lianyong Qi;Xuyun Zhang;Wanchun Dou;Qiang Ni.
IEEE Journal on Selected Areas in Communications (2017)
A two-stage locality-sensitive hashing based approach for privacy-preserving mobile service recommendation in cross-platform edge environment
Lianyong Qi;Lianyong Qi;Xuyun Zhang;Wanchun Dou;Chunhua Hu.
Future Generation Computer Systems (2018)
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)
Combining Local Optimization and Enumeration for QoS-aware Web Service Composition
Lianyong Qi;Ying Tang;Wanchun Dou;Jinjun Chen.
international conference on web services (2010)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: