Abstract
Because of the economies of scale that Cloud provides, there is great interest in hosting web services on the Cloud. Web services are created from components such as Database Management Systems and HTTP servers. There is a wide variety of components that can be used to configure a web service. The choice of components influences the performance and energy consumption. Most current research in the web service technologies focuses on system performance, and only small number of researchers give attention to energy consumption. In this paper, we propose a method to select the web service configurations which reduce energy consumption. Our method has capabilities to manage feature configuration and predict energy consumption of web service systems. To validate, we developed a technique to measure energy consumption of several web service configurations running in a Virtualized environment. Our approach allows Cloud companies to provide choices of web service technology that consumes less energy.
Original language | English |
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Title of host publication | 16th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2014 - Proceedings |
Publisher | Association for Computing Machinery |
Pages | 224-228 |
Number of pages | 5 |
Volume | 04-06-December-2014 |
ISBN (Electronic) | 9781450330015 |
DOIs | |
Publication status | Published - 4 Dec 2014 |
Event | 16th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2014 - Hanoi, Viet Nam Duration: 4 Dec 2014 → 6 Dec 2014 |
Conference
Conference | 16th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2014 |
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Country/Territory | Viet Nam |
City | Hanoi |
Period | 4/12/14 → 6/12/14 |
Keywords
- Energy aware
- Machine learning
- Software product line
- Web system
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software