1st International ICST Workshop on Artificial Intelligence in Grid Computing

Research Article

E-service Delivery Pattern for Grid Based Data M Services

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1145/1577389.1577391,
    author={Kun Gao and Lifeng Xi and Jifang Li},
    title={E-service Delivery Pattern for Grid Based Data M Services},
    proceedings={1st International ICST Workshop on Artificial Intelligence in Grid Computing},
    publisher={ACM},
    proceedings_a={AIGC},
    year={2007},
    month={8},
    keywords={Grid Computing Distributed Computing Data Mining Knowledge Discovery in Database Grid service.},
    doi={10.1145/1577389.1577391}
}
  • Kun Gao
    Lifeng Xi
    Jifang Li
    Year: 2007
    E-service Delivery Pattern for Grid Based Data M Services
    AIGC
    ACM
    DOI: 10.1145/1577389.1577391
Kun Gao1,*, Lifeng Xi2,*, Jifang Li3,*
  • 1: Computer Science and Information Technology CollegeZhejiang Wanli University No. 8 South Qianhu Road Ningbo 315100, China
  • 2: Computer Science and InformationZhejiang Wanli University No. 8 South Qianhu Road Ningbo 315100, China
  • 3: Computer Science and InformaTechnology College Zhejiang Wanli University No. 8 South Qianhu Road Ningbo 315100, China
*Contact email: gaoyibo@gmail.com, lfx@zwu.edu.cn, ljf@zwu.edu.cn

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.

Keywords
Grid Computing Distributed Computing Data Mining Knowledge Discovery in Database Grid service.
Published
2007-08-17
Publisher
ACM
Modified
2010-05-16
http://dx.doi.org/10.1145/1577389.1577391
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