DocumentCode :
3308588
Title :
Automated framework for Green IT classification using software agents
Author :
Ciocoiu, N.C. ; Ciolac, C.E.
Author_Institution :
Fac. of Manage., Acad. of Economic Studies, Bucharest, Romania
fYear :
2009
fDate :
8-11 Aug. 2009
Firstpage :
279
Lastpage :
283
Abstract :
This paper aims to develop a quantitative model for hardware evaluation in terms of GreenIT metrics compliance during operation. The framework for data acquisition from Web content mining uses Web crawlers as well as software information agents that automatically indentify and index the environmental metrics present in products´ specifications.
Keywords :
data acquisition; data mining; indexing; pattern classification; search engines; software agents; software metrics; Web content mining; Web crawler; computer desktop; data acquisition; environmental metric; green IT classification; hardware evaluation; quantitative model; software information agent; Area measurement; Chemical analysis; Crawlers; Data acquisition; Environmental economics; HTML; Hardware; Macroeconomics; Manufacturing; Software agents; Bayesian probability; GreenIT; IT investments; knowledge discovery; software agents;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
Type :
conf
DOI :
10.1109/ICCSIT.2009.5234398
Filename :
5234398
Link To Document :
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