Work place: Department of Computer Science, Naval University of Engineering, Wuhan, HuBei, China 430033
E-mail: dizheng@nudt.edu.cn
Website:
Research Interests: Computing Platform, Mathematics of Computing
Biography
Di Zheng is a Lecturer of Department of Computer Science at Naval University of Engineering, China. She is a pervasive computing researcher whose interests include context modeling and management, development of the context-aware middleware and evaluating the quality of the context-aware applications. She received her Ph.D. in the area of contextaware pervasive computing from NUDT in 2008.
DOI: https://doi.org/10.5815/ijem.2011.03.09, Pub. Date: 5 Jun. 2011
With the rapid development of information technology, it is inevitable that the distributed mobile computing will evolve to the pervasive computing gradually whose final goal is fusing the information space composed of computers with the physical space in which the people are working and living in. Furthermore, with the development of SOA, more and more pervasive applications have been composed of different kinds of services. So how to choose a suitable service from all the useable services is the most important step for pervasive computing. Compare to the traditional service selection we must take more care of the context as well as the quality of them in pervasive environment. However, most of existing researches pay no attention to QoC (Quality of Service) which may lead to unreliable selections. Therefore we proposed a middleware based service selection scheme to support QoC-aware service selection efficiently.
[...] Read more.DOI: https://doi.org/10.5815/ijieeb.2011.01.05, Pub. Date: 8 Feb. 2011
With the rapid development of information technology, it is inevitable for the distributed mobile computing will evolve to the pervasive computing gradually and whose final goal is fusing the information space composed of computers with the physical space in which the people are working and living in. Furthermore, with the development of SOA, more and more pervasive applications have been composed of different kinds of services. So how to choose a suitable service from all the useable services is the most important step for pervasive computing. Compare to the traditional service selection we must take more care of the context as well as the quality of them in pervasive environment. However, most of existing researches pay no attention to QoC(Quality of Service) which may lead to unreliable selections. Therefore we proposed a middleware based service selection scheme to support QoC-aware service selection efficiently.
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