His primary areas of investigation include Computer network, Cloud computing, Distributed computing, The Internet and Energy consumption. His biological study spans a wide range of topics, including Telecommunications and Scalability. His study in Cloud computing is interdisciplinary in nature, drawing from both Quality of experience, Mobile device, Mobile computing and Provisioning.
His Distributed computing research is multidisciplinary, relying on both Network virtualization, Virtual network embedding, Communications protocol and Fault detection and isolation. His The Internet research includes themes of Public-key cryptography, Key distribution, ID-based cryptography, Data science and Big data. Yonggang Wen combines subjects such as Energy conservation, Virtual machine, Real-time computing, Server and Efficient energy use with his study of Energy consumption.
Cloud computing, Computer network, Distributed computing, Artificial intelligence and Server are his primary areas of study. His Cloud computing research is multidisciplinary, incorporating elements of Multimedia, Real-time computing, Data center, Mobile computing and Mobile device. His studies in Data center integrate themes in fields like Efficient energy use and Reinforcement learning.
His work in Mobile device addresses issues such as Energy consumption, which are connected to fields such as Wireless. Yonggang Wen has included themes like Network topology, Scheduling, Scalability and Network packet in his Distributed computing study. His Artificial intelligence study incorporates themes from Machine learning and Metric.
The scientist’s investigation covers issues in Artificial intelligence, Cloud computing, Reinforcement learning, Machine learning and Software deployment. In the field of Artificial intelligence, his study on Deep learning, Artificial neural network and Training set overlaps with subjects such as Joint. His work carried out in the field of Cloud computing brings together such families of science as Real-time computing, Computation and Data center.
His Reinforcement learning study combines topics from a wide range of disciplines, such as Thermal comfort, Thermal, Energy consumption, Markov decision process and Server. His Energy consumption research includes themes of Distributed computing, Automotive engineering, Efficient energy use and Heuristics. Yonggang Wen combines subjects such as Data modeling, Metric, Adversary, Handwriting and Benchmark with his study of Machine learning.
His scientific interests lie mostly in Reinforcement learning, Energy consumption, Artificial intelligence, Data center and Cloud computing. Yonggang Wen has included themes like HVAC, Efficient energy use, Heuristics and Server in his Energy consumption study. His Server research is multidisciplinary, relying on both Real-time computing and Mathematical optimization.
When carried out as part of a general Artificial intelligence research project, his work on Artificial neural network is frequently linked to work in Scale, therefore connecting diverse disciplines of study. Yonggang Wen works mostly in the field of Data center, limiting it down to topics relating to Distributed computing and, in certain cases, Constrained optimization, Supercomputer and Cooling energy. Yonggang Wen works in the field of Cloud computing, namely DevOps.
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.
Toward Scalable Systems for Big Data Analytics: A Technology Tutorial
Han Hu;Yonggang Wen;Tat-Seng Chua;Xuelong Li.
IEEE Access (2014)
A Survey on Software-Defined Networking
Wenfeng Xia;Yonggang Wen;Chuan Heng Foh;Dusit Niyato.
IEEE Communications Surveys and Tutorials (2015)
Data Center Energy Consumption Modeling: A Survey
Miyuru Dayarathna;Yonggang Wen;Rui Fan.
IEEE Communications Surveys and Tutorials (2016)
Energy-Optimal Mobile Cloud Computing under Stochastic Wireless Channel
Weiwen Zhang;Yonggang Wen;Kyle Guan;Dan Kilper.
IEEE Transactions on Wireless Communications (2013)
A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks
Wenbo Wang;Dinh Thai Hoang;Peizhao Hu;Zehui Xiong.
IEEE Access (2019)
Cloud robotics: architecture, challenges and applications
Guoqiang Hu;Wee Peng Tay;Yonggang Wen.
IEEE Network (2012)
Cloud radio access network (C-RAN): a primer
Jun Wu;Zhifeng Zhang;Yu Hong;Yonggang Wen.
IEEE Network (2015)
Energy-optimal mobile application execution: Taming resource-poor mobile devices with cloud clones
Yonggang Wen;Weiwen Zhang;Haiyun Luo.
international conference on computer communications (2012)
Private data deduplication protocols in cloud storage
Wee Keong Ng;Yonggang Wen;Huafei Zhu.
acm symposium on applied computing (2012)
Collaborative Task Execution in Mobile Cloud Computing Under a Stochastic Wireless Channel
Weiwen Zhang;Yonggang Wen;Dapeng Oliver Wu.
IEEE Transactions on Wireless Communications (2015)
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