Distributed Service Management Based on Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{conf/awic/ChenLW05,

• title = "Distributed Service Management Based on Genetic Programming",
• author = "Jing Chen and Zeng-zhi Li and Yun-lan Wang",
• year = "2005",
• pages = "83--88",
• editor = "Piotr S. Szczepaniak and Janusz Kacprzyk and Adam Niewiadomski",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "3528",
• ISBN = "3-540-26219-9",
• booktitle = "Advances in Web Intelligence Third International Atlantic Web Intelligence Conference, AWIC 2005, Proceedings",
• address = "Lodz, Poland",
• month = "6-9 " # jun,
• bibdate = "2005-05-30",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/awic/awic2005.html#ChenLW05",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-26219-9",
• DOI = "doi:10.1007/11495772_14",
• size = "6 pages",
• 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