What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Artificial intelligence
The scientist’s investigation covers issues in Distributed computing, Cloud computing, Computer network, Virtual machine and Server.
His Distributed computing study integrates concerns from other disciplines, such as Scheduling, Data feed, Resource allocation and Application layer.
His research in Scheduling focuses on subjects like Energy consumption, which are connected to Efficient energy use and Mathematical optimization.
His Cloud computing research is multidisciplinary, relying on both Query optimization, Database, Testbed, Ranking and Provisioning.
Cheng-Zhong Xu interconnects Overlay network, Scalability and Vehicular ad hoc network in the investigation of issues within Computer network.
His Virtual machine research is multidisciplinary, incorporating elements of Workload, Virtualization, Service and Reinforcement learning.
His most cited work include:
- Load Balancing in Parallel Computers: Theory and Practice (227 citations)
- Performance and energy modeling for live migration of virtual machines (220 citations)
- Performance and energy modeling for live migration of virtual machines (175 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Distributed computing, Computer network, Cloud computing, Server and Parallel computing.
The concepts of his Distributed computing study are interwoven with issues in Virtual machine, Scalability, Resource allocation, Energy consumption and Quality of service.
His research integrates issues of Scheduling and Efficient energy use in his study of Energy consumption.
His study brings together the fields of Overlay network and Computer network.
His Cloud computing study frequently links to related topics such as Robot.
His studies in Parallel computing integrate themes in fields like Algorithm, Computation and Load balancing.
He most often published in these fields:
- Distributed computing (31.67%)
- Computer network (17.85%)
- Cloud computing (17.08%)
What were the highlights of his more recent work (between 2018-2021)?
- Cloud computing (17.08%)
- Distributed computing (31.67%)
- Artificial intelligence (7.87%)
In recent papers he was focusing on the following fields of study:
Cheng-Zhong Xu mostly deals with Cloud computing, Distributed computing, Artificial intelligence, Deep learning and Artificial neural network.
Cheng-Zhong Xu has included themes like Workload, Robot, Scheduling and Upload in his Cloud computing study.
The study incorporates disciplines such as Quality of service, Enhanced Data Rates for GSM Evolution, Server, Efficient energy use and Mobile device in addition to Distributed computing.
Cheng-Zhong Xu frequently studies issues relating to Greedy algorithm and Server.
The study of Efficient energy use is intertwined with the study of Energy consumption in a number of ways.
His Artificial intelligence research includes elements of Machine learning, Computer vision and Pattern recognition.
Between 2018 and 2021, his most popular works were:
- Dynamic Network Anomaly Detection System by Using Deep Learning Techniques. (19 citations)
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection (16 citations)
- Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems With Heterogeneous Sensor Data (15 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Computer network
Cheng-Zhong Xu focuses on Cloud computing, Distributed computing, Artificial intelligence, Convolutional neural network and Energy consumption.
The Cloud computing study combines topics in areas such as Data security, Reliability, Scale, Task and Robot.
His study in Distributed computing is interdisciplinary in nature, drawing from both Resource allocation, Quality of service, Computation offloading, Speedup and Mobile device.
In his research, Workload, Software deployment, Computer hardware and Cloud service provider is intimately related to Scheduling, which falls under the overarching field of Quality of service.
His Artificial intelligence research incorporates elements of Machine learning, Graph and Intelligent transportation system.
His Energy consumption research incorporates themes from Information technology, Efficient energy use and CloudSim.
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