Jun Wang

Work place: Key Research Lab, Wuhan Radar Institute, Wuhan, HuBei, China 430019

E-mail: junwang@nudt.edu.cn

Website:

Research Interests: Computing Platform, Mathematics of Computing

Biography

Jun Wang is a Lecturer of Department of Key Research Lab at Wuhan Radar Institute, China. He is a Middleware researcher whose interests include development of the middleware based applications. He received his Ph.D. in the area of context-aware pervasive computing from NUDT in 2007.

Author Articles
Research of the QoC-Aware Service Selection for Middleware Based Pervasive Applications

By Di Zheng Hang Yan Jun Wang

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.

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Research of the QoC based Middleware for the Service Selection in Pervasive Environment

By Di Zheng Jun Wang

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.

[...] Read more.
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