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Zhongzhi Shi

Work place: Chinese Academy of Sciences, Beijing, China

E-mail: shizz@ics.ict.ac.cn

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Research Interests: Computational Learning Theory, Neural Networks, Distributed Computing, Data Mining, Data Structures and Algorithms

Biography

Zhongzhi Shi, a full professor at the Institute of Computing Technology, Chinese Academy of Sciences, graduated in Computer Science from the Graduate School of University of Science and Technology of China in 1968. He is Director of the Intelligence Science Lab and a PhD supervisor of Ph.D. students at the Institute of Computing Technology, Chinese Academy of Sciences. His research and teaching interests include intelligence science, distributed intelligence, machine learning, neural computing and data mining. He has published 11 monographs, 12 books and more than 400 research papers in journals and conferences. Active in professional activities, Prof. Shi is a senior member of IEEE, ACM and AAAI member, a Chair for the WG 12.2 of IFIP. He serves as a Vice President for Chinese Association of Artificial Intelligence, Executive president of Chinese Neural Network Council.

Author Articles
A Hybrid P2P Approach to Service Discovery in the Cloud

By Jing Zhou Nor Aniza Abdullah Zhongzhi Shi

DOI: https://doi.org/10.5815/ijitcs.2011.01.01, Pub. Date: 8 Feb. 2011

Highly scalable techniques for service discovery are key to the efficient use of Cloud resources, since the Cloud computing appears to be part of the mainstream computing in a few years. We embarked on a preliminary study on Cloud service discovery by adopting an unstructured P2P paradigm. We developed an efficient mechanism for routing of service requests by coupling a number of components: one-hop replication, semanticaware message routing, topology reorganization, and supernodes. A number of experiments were carried out that demonstrated the expected performance of the proposed P2P search scheme.

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