Title :
Intelligent Green IT Management for Enterprises through System Profiling
Author :
Rao, Subrahmanya VRK ; Saravanakumar, Jeyabalan ; Sundararaman, Karthik ; Parthasarathi, Jinka ; Ramesh, S.
Author_Institution :
Global Technol. Office, Cognizant Technol. Solutions, Chennai, India
Abstract :
Green IT service aim at reducing carbon footprints in workplace and hence save cost using technologies that are sustainable. The current work presents an intelligent Green IT management technique through the system profiling and application of Machine Learning techniques towards generating the system usage patterns. A batch program was developed to control PCs based on the usage pattern. The solution could be implemented in data centers, development centers where thousands of PCs whose usage behavior varies. Such a system could be extended by building ontology´s for multiple users using a single system.
Keywords :
data mining; environmental factors; learning (artificial intelligence); PC; association rules; batch program; data centers; green IT service; intelligent green IT management; machine learning techniques; system profiling; system usage patterns; Association rules; Engines; Flexible printed circuits; Green products; Intelligent systems; Protocols; Servers; Association Rules; Green IT; Machine Learning; PC profiling;
Conference_Titel :
Green Computing and Communications (GreenCom), 2011 IEEE/ACM International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4577-1006-3
Electronic_ISBN :
978-0-7695-4466-3
DOI :
10.1109/GreenCom.2011.42
