Abstract
In this paper we propose the development of an Energy Aware Context Model for representing the service centre energy/performance related data in a uniform and machine interpretable manner. The model is instantiated at run-time with the service center energy/performance data collected by monitoring tools. Energy awareness is achieved by using reasoning processes on the model instance ontology representation to determine if the service center Green and Key Performance Indicators (GPIs/KPIs) are fulfilled in the current context. If the predefined GPIs/KPIs are not fulfilled, the model is used as primary resource to generate run-time adaptation plans that should be executed to increase the service center's greenness level. © 2011 Springer-Verlag.
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CITATION STYLE
Salomie, I., Cioara, T., Anghel, I., Moldovan, D., Copil, G., & Plebani, P. (2011). An energy aware context model for green IT service centers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6568 LNCS, pp. 169–180). https://doi.org/10.1007/978-3-642-19394-1_18
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