Ming Zhao focuses on Virtual machine, Virtualization, Operating system, Resource allocation and Server. His study in Virtual machine is interdisciplinary in nature, drawing from both Virtual prototyping, Capacity planning, Real-time computing and Dynamic priority scheduling. His Virtualization research includes themes of Iterative and incremental development and Distributed computing.
Ming Zhao has researched Operating system in several fields, including Layer and Key. His biological study spans a wide range of topics, including Data modeling, Database, Quality of service, Memory management and Reservation. The various areas that he examines in his Server study include Process, Provisioning and Data center.
His primary areas of investigation include Operating system, Distributed computing, Virtual machine, Virtualization and Cloud computing. His Distributed computing study integrates concerns from other disciplines, such as Node, Quality of service, Job scheduler and Network File System. Ming Zhao combines subjects such as Overhead and Resource allocation with his study of Virtual machine.
The Resource allocation study combines topics in areas such as Database and Autonomic computing. His Virtualization research incorporates themes from Utility computing, Provisioning and Latency. His Cloud computing research integrates issues from Computer security and Deep learning, Artificial intelligence.
The scientist’s investigation covers issues in Artificial intelligence, Operating system, Metadata, Computer data storage and Cache. His work is connected to Memory footprint, Flash memory and Virtual machine, as a part of Operating system. His Metadata research incorporates elements of File system and Server.
His research integrates issues of Temporal isolation among virtual machines, Virtualization, Bandwidth allocation, I/O scheduling and Scheduling in his study of Server. His Workflow research is multidisciplinary, relying on both Edge computing and Distributed computing. His studies deal with areas such as Data deduplication and Enhanced Data Rates for GSM Evolution as well as Distributed computing.
His primary areas of investigation include Data deduplication, Deep learning, Artificial intelligence, Resource constrained and Distributed computing. His work deals with themes such as Mode, Hash function, Embedded system and Encryption, which intersect with Data deduplication. His Deep learning study combines topics in areas such as Enhanced Data Rates for GSM Evolution, Human–computer interaction, Computational science, Hardware acceleration and Cloud computing.
In general Artificial intelligence study, his work on Edge computing and Artificial neural network often relates to the realm of Personalization, thereby connecting several areas of interest.
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.
An overview of advances in biomass gasification
Vineet Singh Sikarwar;Ming Zhao;Ming Zhao;Peter Clough;Joseph Yao.
Energy and Environmental Science (2016)
From virtualized resources to virtual computing grids: the In-VIGO system
Sumalatha Adabala;Vineet Chadha;Puneet Chawla;Renato Figueiredo.
grid computing (2005)
Influence of annealing temperature on the properties of titanium oxide thin film
Ya Q. Hou;Da Ming Zhuang;Gong Zhang;Ming Zhao.
Applied Surface Science (2003)
Opportunities and challenges in sustainable treatment and resource reuse of sewage sludge: A review
Abdul Raheem;Vineet Singh Sikarwar;Jun He;Wafa Dastyar.
Chemical Engineering Journal (2017)
A review of techno-economic models for the retrofitting of conventional pulverised-coal power plants for post-combustion capture (PCC) of CO2
Ming Zhao;Andrew I. Minett;Andrew T. Harris.
Energy and Environmental Science (2013)
A review on sustainable microalgae based biofuel and bioenergy production: Recent developments
Abdul Raheem;Abdul Raheem;Pepijn Prinsen;Arun K. Vuppaladadiyam;Arun K. Vuppaladadiyam;Ming Zhao;Ming Zhao.
Journal of Cleaner Production (2018)
On the Use of Fuzzy Modeling in Virtualized Data Center Management
Jing Xu;Ming Zhao;J. Fortes;R. Carpenter.
international conference on autonomic computing (2007)
Change-point problems in software and hardware reliability
Communications in Statistics-theory and Methods (1993)
Simulation of sea-land breezes and a discussion of their implications on the transport of air pollution during a multi-day ozone episode in the Pearl River Delta of China
Aijun Ding;Aijun Ding;Tao Wang;Ming Zhao;Tijian Wang.
Atmospheric Environment (2004)
Biomass-based chemical looping technologies: the good, the bad and the future
Xiao Zhao;Hui Zhou;Vineet Singh Sikarwar;Ming Zhao.
Energy and Environmental Science (2017)
Profile was last updated on December 6th, 2021.
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