2021 - IEEE Fellow For contributions to power management of data center servers and embedded systems
The scientist’s investigation covers issues in Server, Power control, Computer network, Quantitative trait locus and Real-time computing. His Server research includes themes of Control system, Virtual machine, Resource management, Data center and Testbed. Xiaorui Wang combines subjects such as Power management, Block, Overhead and Chip with his study of Power control.
His study in Computer network is interdisciplinary in nature, drawing from both Wireless and Distributed computing. His study looks at the relationship between Distributed computing and fields such as Scheduling, as well as how they intersect with chemical problems. His Real-time computing study combines topics from a wide range of disciplines, such as Quality of service and Control theory.
His scientific interests lie mostly in Data center, Real-time computing, Server, Distributed computing and Embedded system. His Data center research incorporates elements of Power optimization, Electricity, Energy consumption, Computer security and Cloud computing. His biological study spans a wide range of topics, including Control system, Transmission, Control theory, Simulation and Central processing unit.
His Server research entails a greater understanding of Computer network. The concepts of his Distributed computing study are interwoven with issues in CPU time, Model predictive control, Quality of service, Scheduling and Adaptive control. Xiaorui Wang has included themes like Multi-core processor, Feedback control, Frequency scaling and Cache in his Embedded system study.
His primary areas of investigation include Data center, Energy consumption, Real-time computing, Embedded system and Operating system. Xiaorui Wang has researched Data center in several fields, including Distributed computing, Power optimization, Computer security, Electrical efficiency and Server. He interconnects Scalability and Performance improvement in the investigation of issues within Distributed computing.
His research integrates issues of End-to-end principle, Middleware and Channel state information in his study of Real-time computing. His studies deal with areas such as Battery and Voltage as well as Embedded system. His Testbed study improves the overall literature in Computer network.
His primary areas of study are Data center, Server, Power optimization, Computer security and Electrical efficiency. His research on Data center also deals with topics like
His research in Power optimization intersects with topics in Testbed and Computer network. His work carried out in the field of Testbed brings together such families of science as Network performance, Scalability, Distributed computing and Networking hardware. Xiaorui Wang has researched Computer network in several fields, including Virtual machine and Topology.
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.
Integrated coverage and connectivity configuration in wireless sensor networks
Xiaorui Wang;Guoliang Xing;Yuanfang Zhang;Chenyang Lu.
international conference on embedded networked sensor systems (2003)
Integrated coverage and connectivity configuration for energy conservation in sensor networks
Guoliang Xing;Xiaorui Wang;Yuanfang Zhang;Chenyang Lu.
ACM Transactions on Sensor Networks (2005)
Real-time Power-Aware Routing in Sensor Networks
O. Chipara;Z. He;Guoling Xing;Qin Chen.
international workshop on quality of service (2006)
Server-Level Power Control
C. Lefurgy;Xiaorui Wang;M. Ware.
international conference on autonomic computing (2007)
Positional identification of TNFSF4 , encoding OX40 ligand, as a gene that influences atherosclerosis susceptibility
Xiaosong Wang;Massimiliano Ria;Peter M Kelmenson;Per Eriksson.
Nature Genetics (2005)
Mice with Targeted Mutation of Peroxiredoxin 6 Develop Normally but Are Susceptible to Oxidative Stress
Xiaosong Wang;Shelley A. Phelan;Kristina Forsman-Semb;Eric F. Taylor.
Journal of Biological Chemistry (2003)
Cluster-level feedback power control for performance optimization
Xiaorui Wang;Ming Chen.
high-performance computer architecture (2008)
Temperature-constrained power control for chip multiprocessors with online model estimation
Yefu Wang;Kai Ma;Xiaorui Wang.
international symposium on computer architecture (2009)
Use of a dense single nucleotide polymorphism map for in silico mapping in the mouse.
Mathew T Pletcher;Philip McClurg;Serge Batalov;Andrew I Su.
PLOS Biology (2004)
Power capping: a prelude to power shifting
Charles Lefurgy;Xiaorui Wang;Malcolm Ware.
Cluster Computing (2008)
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