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Distributed data mining in grid computing environments

文献类型：期刊论文

作者Luo, Ping; Lu, Kevin; Shi, Zhongzhi; He, Qing
刊名FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS
出版日期2007
卷号23期号:1页码:84-91
关键词distributed data mining directed acyclic graph InterGrid IntraGrid multi-agent system environment
ISSN号0167-739X
DOI10.1016/j.future.2006.04.010
英文摘要The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an effective scheduling framework. DDM often shares the computing paradigm of local processing and global synthesizing. It involves every phase of Data Mining (DM) processes, which makes the workflow of DDM very complex and can be modelled only by a Directed Acyclic Graph (DAG) with multiple data entries. Motivated by the need for a practical solution of the Grid scheduling problem for the DDM workflow, this paper proposes a novel two-phase scheduling framework, including External Scheduling and Internal Scheduling, on a two-level Grid architecture (InterGrid, IntraGrid). Currently a DM IntraGrid, named DMGCE (Data Mining Grid Computing Environment), has been developed with a dynamic scheduling framework for competitive DAGs in a heterogeneous computing environment. This system is implemented in an established Multi-Agent System (MAS) environment, in which the reuse of existing DM algorithms is achieved by encapsulating them into agents. Practical classification problems from oil well logging analysis are used to measure the system performance. The detailed experiment procedure and result analysis are also discussed in this paper. (C) 2006 Elsevier B.V. All rights reserved.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000241144800011
出版者ELSEVIER SCIENCE BV
源URL[http://119.78.100.204/handle/2XEOYT63/10933]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Lu, Kevin
作者单位1.Brunel Univ, Uxbridge UB8 3PH, Middx, England
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China
3.Chinese Acad Sci, Grad Sch, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714		 Luo, Ping,Lu, Kevin,Shi, Zhongzhi,et al. Distributed data mining in grid computing environments[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS,2007,23(1):84-91.
APA Luo, Ping,Lu, Kevin,Shi, Zhongzhi,&He, Qing.(2007).Distributed data mining in grid computing environments.FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS,23(1),84-91.
MLA Luo, Ping,et al."Distributed data mining in grid computing environments".FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS 23.1(2007):84-91.

入库方式： OAI收割

来源：计算技术研究所

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