Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1007/978-0-387-09655-1_14 | BIOLOGICALLY-INSPIRED COLLABORATIVE COMPUTING |
Keywords | Field | DocType |
monitoring,bio-inspired,hormone system,adaptive computing,self-X | Computer science,System monitoring,Organic computing,Adaptive computing,Distributed computing,Scalability | Conference |
Volume | ISSN | Citations |
268 | 1571-5736 | 2 |
PageRank | References | Authors |
0.39 | 8 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rainer Buchty | 1 | 143 | 18.44 |
David Kramer | 2 | 2 | 0.39 |
Wolfgang Karl | 3 | 372 | 34.84 |