Distributed Service Management Based on Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{conf/awic/ChenLW05,
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title = "Distributed Service Management Based on Genetic
Programming",
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author = "Jing Chen and Zeng-zhi Li and Yun-lan Wang",
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year = "2005",
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pages = "83--88",
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editor = "Piotr S. Szczepaniak and Janusz Kacprzyk and
Adam Niewiadomski",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "3528",
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ISBN = "3-540-26219-9",
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booktitle = "Advances in Web Intelligence Third International
Atlantic Web Intelligence Conference, AWIC 2005,
Proceedings",
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address = "Lodz, Poland",
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month = "6-9 " # jun,
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bibdate = "2005-05-30",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/awic/awic2005.html#ChenLW05",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-26219-9",
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DOI = "doi:10.1007/11495772_14",
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size = "6 pages",
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abstract = "An architecture for online discovery quantitative
model of distributed service management based on
genetic programming (GP) was proposed. The GP system
was capable of constructing the quantitative models
online without prior knowledge of the managed elements.
The model can be updated continuously in response to
the changes made in provider configurations and the
evolution of business demands. The GP system chose a
particular subset from the numerous metrics as the
explanatory variables of the model. In order to
evaluate the system, a prototype is implemented to
estimate the online response times for Oracle Universal
Database under a TPC-W workload. Of more than 500
Oracle performance metrics, the system model choose
three most influential metrics that weight 76percent of
the variability of response time, illustrating the
effectiveness of quantitative model constructing system
and model constructing algorithms.",
- }
Genetic Programming entries for
Jing Chen
Zeng-zhi Li
Yun-Lan Wang
Citations