E-service delivery pattern for grid based data mining services

Authors:
Kun Gao;Lifeng Xi;Jifang Li
Affiliations:
Zhejiang Wanli University, Ningbo, China;Zhejiang Wanli University, Ningbo, China;Zhejiang Wanli University, Ningbo, China
Venue:
First International Workshop on Artificial Intelligence in Grid Computing
Year:
2007

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Abstract

The emergence of ASP hosting Grid based data mining services is being seen as a novel and feasible solution for organizations that value their knowledge resources but are constrained by the high cost of knowledge discover tools. In this paper, we present a novel E-service delivery pattern for the Grid based data mining services. This pattern has several strong suits than the present methods for delivering data mining services such as supporting clients with many kinds of choices, especially the choice of the ASP. We have developed tools to support the E-service delivery pattern. The detailed information is including: the preferences of tasks, the functionality of ASP and the information of data resource and computation resources to run the application. We have realized the map function to match the requirement of client, the capability of resource and ASP.