Distributed data mining in grid computing environments

doi:10.1016/j.future.2006.04.010

	Distributed data mining in grid computing environments
	Luo, Ping ; Lu, Kevin ; Shi, Zhongzhi ; He, Qing
	2007
发表期刊	FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS
ISSN	0167-739X
卷号	23 期号:1 页码:84-91
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.
关键词	distributed data mining directed acyclic graph InterGrid IntraGrid multi-agent system environment
DOI	10.1016/j.future.2006.04.010
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Theory & Methods
WOS记录号	WOS:000241144800011
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：18[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10934
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.