DocumentCode
650207
Title
Semantic interrelation in distributed system through green computing ontology
Author
Jayadianti, Herlina ; Nugroho, Lukito Edi ; Insap Santosa, Paulus ; Alberta Baptista Sousa Pinto, Carlos ; Widayat, Wahyu
Author_Institution
Dept. of Electr. Eng. & Inf. Technol., Univ. Gadjah Mada, Yogyakarta, Indonesia
fYear
2013
fDate
7-8 Oct. 2013
Firstpage
216
Lastpage
220
Abstract
Green computing refers to the system that provides minimal impact on the environment. When we are talking about green computing we discuss about how much energy is used by the system, such as energy used by the system, time used for the search process, and how effective the system is. Related to that issue, trough this paper we want to proposes a new effort to achieve Green Computing in heterogeneous data in distributed system. The technology chosen to deal with them is Ontology. We try to generate a common ontology including a common set of terms, based on the several ontologies available, in order to make possible to share the common terminology (set of terms) that it implements, between different communities. If a very large amount of distributed data is not managed and distributed properly, user will need more time to do a search process. The longer the search is done, the more energy is used.
Keywords
distributed processing; green computing; ontologies (artificial intelligence); distributed system; energy use; environmental impact; green computing ontology; semantic interrelation; Data Heterogeneity; Effectiveness; Green Computing; Ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Electrical Engineering (ICITEE), 2013 International Conference on
Conference_Location
Yogyakarta
Print_ISBN
978-1-4799-0423-5
Type
conf
DOI
10.1109/ICITEED.2013.6676241
Filename
6676241
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