Title :
Green Web Services: Modeling and Estimating Power Consumption of Web Services
Author :
Bartalos, Peter ; Blake, M. Brian
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Notre Dame, South Bend, IN, USA
Abstract :
Service-oriented computing enables organizations to package their offerings as modular, self-contained services. As these organizational capabilities are more commonly distributed, perhaps redundantly, across cloud environments, there is an opportunity to provision services in locations that maximize energy-efficiency. In this paper, we introduce a process, model, and power estimation techniques to facilitate a priori decision support with respect to provisioning software services in context of the server on which they reside. Favorable results from our experiments demonstrate the ability to estimate the power consumption of web services while differentiating energy-efficiency of redundant instances.
Keywords :
Web services; decision support systems; environmental factors; power aware computing; a priori decision support; energy-efficiency maximization; green Web services; power consumption estimation; power consumption modeling; power estimation techniques; service-oriented computing; software services; Computational modeling; Estimation; Power demand; Power measurement; Radiation detectors; Servers; Web services; Energy-aware computing; architectural support for energy aware computing; green web services;
Conference_Titel :
Web Services (ICWS), 2012 IEEE 19th International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4673-2131-0
DOI :
10.1109/ICWS.2012.36