Work place: Harbin Engineering University, Harbin, China
E-mail: guofangfang@hrbeu.edu.cn
Website:
Research Interests:
Biography
Fangfang A. Guo male, PhD, Associate Professor, Master Instructor. March 21, 1974 born,, Xinghua City, Jiangsu Province, Han nationality. September 1992 to July 1996, at theHarbin Engineering University, Institute of Computer Scienceand Technology study in Computer Science and application and gets bachelor of engineering. September 1998 to March 2001, at the Harbin Engineering University, Institute of Computer Science and Technology studies as a Master degree candidate and gets Master of Engineering in Computer Application Technology; September 2000 to June 2006, at the Harbin University of Science and Engineering Institute of Technology, studies as a doctoral graduate in Computer Application Technology and gets Ph.D. degree. From July 1996 to the present, works in Harbin Engineering University in Computer Science and Technology.
Long-term responsible for the computer network and information security more than undergraduate and graduate teaching course, have lectured and taught courses are computer networks, Introduction to communication theory, network integration, information security, cryptography, network and information security experiments and Windows programming and so on.As a technology leader has completed / is involved in "fifth" and "Eleventh Five-Year" National Defense Pre-research of key projects, doctoral Fund, the National Natural Science Foundation of China and 863 project. Has published more than thirty papers, many articles were accept by EI.
As a major R & D personnel involved in the project "Network Security Technology - XXXX Technology: XXX and XX technology" won the 2008 National Defense Industrial Technology of Heilongjiang Province, Progress Award (certificate number 08B103, award-winning staff: Wang Huiqiang, India Gui-Sheng, Guo Fang Fang , Guang-liter, Bing Yang, Ma Chunguang).
DOI: https://doi.org/10.5815/ijcnis.2011.03.04, Pub. Date: 8 Apr. 2011
The inherent mobility of MP2P peers lead to an efficient of existing resources positioning method low, and the proposed application model is single. The proposed methods considered the resource positioning in the direction of the resource provider's, and implement it base on the diffusion resource index, which are spread in the model of epidemic. Networking connectivity model is built in the diffusion path. Diffusion resources index are used to position resources, so as to solve the low positioning efficiency of existing positioning method and large time delay. By comparing the proposed method, the flooding resource location method and the Structural resources localization methods, the obtained simulation results show that the proposed method can effectively improve resource efficiency and accuracy of the location method.
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