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Simulation of Data Management in Group Purchasing System

Journal Advanced Materials Research (Volumes 33 - 37)
Volume Advances in Fracture and Materials Behavior
Edited by Wei Yang, Mamtimin Geni, Tiejun Wang and Zhuo Zhuang
Pages 1445-1450
DOI 10.4028/www.scientific.net/AMR.33-37.1445
Citation Zong Feng Zou et al., 2008, Advanced Materials Research, 33-37, 1445
Online since March, 2008
Authors Zong Feng Zou, Tao Yu
Keywords Computer Modeling, Group Purchasing, Simulation
Abstract

By Data Grid to handle data sharing problems of distributed position in Group Purchasing. And so, evaluating and mining massive amounts of data is without fail required replication is important techniques to provide fast data access. Several replication modeling algorithms are studied in the paper. OptorSim provides a modular framework under different Grid environment. OptorSim is used to achieve the Grid simulator to research the stability and transient action. Modern group-companies are often made of many subsidiary companies. Stocking centralization can economize much fund for its large-scale purchasing action. Subordinate companies hope to choose the best provider according to reliable data in most possible area. Advanced data in variety units is massive amounts of data that must be post-processed and organized to support provider evaluation actions. Increasing data volumes from all of the companies challenge to state-of-the-art database system and data-loading techniques. Grid concept is adopted to solve the problem in the project which is named Price Comparison System (PCS). One of the key technologies in the system is to improve the data access.

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