An organic computing approach to sustained real-time monitoring

被引：0

作者：

Buchty, Rainer ^{[1
]}

Kramer, David ^{[1
]}

Karl, Wolfgang ^{[1
]}

机构：

[1] Univ Karlsruhe, Inst Tech Informat, D-76128 Karlsruhe, Germany

来源：

BIOLOGICALLY-INSPIRED COLLABORATIVE COMPUTING | 2008年 / 268卷

关键词：

monitoring; bio-inspired; hormone system; adaptive computing; self-X;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

System monitoring is not only the key to system and application optimization, but also provides the fundamental functionality for adaptive and self-configuring systems. In this paper we describe a novel approach to monitoring based on biologically inspired methods, which not only suits traditional requirements in generating a detailed and pristine system state image, but also complies with the dedicated needs of self-configuring systems. As a beneficial side-effect, the proposed monitoring approach is inherently fault-tolerant and scalable with system size.

引用

页码：151 / 162

页数：12

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