High Efficient Scheduler for Distributed Data Mining Applications

被引：0
|
作者：
Liu, Meiqun [1 ]
Gao, Kun [1 ]
机构：
[1] Zhejiang Wanli Univ, Comp Sci & Informat Technol Coll, Culture & Commun Coll, 8 S Qianhu Rd, Ningbo 315100, Zhejiang, Peoples R China
来源：
CEA'09: PROCEEDINGS OF THE 3RD WSEAS INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND APPLICATIONS | 2009年
关键词：
Grid Computing; Data Mining; Tasks Scheduling;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Distributed data mining plays a crucial role in knowledge discovery in very large database. The key issue for distributed data mining systems is how to scheduling data mining tasks in a high efficient way. In this paper, we propose a novel and efficient mechanism which is based on decomposing and mapping data mining tasks to DAG, and ordering them according the respective execution cost. The results show that this mechanism is scalable and feasibility.
引用
收藏
页码：87 / +
页数：3
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