Measuring energy consumption for web service product configuration

I. Made Murwantara, Behzad Bordbar, Leandro L. Minku

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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 languageEnglish
Title of host publication16th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2014 - Proceedings
PublisherAssociation for Computing Machinery
Pages224-228
Number of pages5
Volume04-06-December-2014
ISBN (Electronic)9781450330015
DOIs
Publication statusPublished - 4 Dec 2014
Event16th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2014 - Hanoi, Viet Nam
Duration: 4 Dec 20146 Dec 2014

Conference

Conference16th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2014
Country/TerritoryViet Nam
CityHanoi
Period4/12/146/12/14

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

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