A Customizable Multi-Agent System for Distributed Data Mining

被引：0
|
作者：
Di Fatta, Giuseppe [1 ]
Fortino, Giancarlo [2 ]
机构：
[1] Univ Reading, Sch Syst Engn, Reading RG6 6AY, Berks, England
[2] Univ Calabria, DEIS, I-87036 Arcavacata Di Rende, CS, Italy
来源：
APPLIED COMPUTING 2007, VOL 1 AND 2 | 2007年
关键词：
Multi-Agent Systems; Distributed Data Mining; Agent Oriented Software Engineering; Dynamic Load Balancing; Peer-To-Peer Computing;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We present a general Multi-Agent System framework for distributed data mining based on a Peer-to-Peer model. Agent protocols are implemented through message-based asynchronous communication. The framework adopts a dynamic load balancing policy that is particularly suitable for irregular search algorithms. A modular design allows a separation of the general-purpose system protocols and software components from the specific data mining algorithm. The experimental evaluation has been carried out on a parallel frequent subgraph mining algorithm, which has shown good scalability performances.
引用
收藏
页码：42 / +
页数：2
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