research-article

Measuring Energy Consumption for Web Service Product Configuration

Authors:

I Made Murwantara,

Behzad Bordbar,

Leandro L. MinkuAuthors Info & Claims

iiWAS '14: Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services

Pages 224 - 228

https://doi.org/10.1145/2684200.2684314

Published: 04 December 2014 Publication History

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.

References

[1]

Apache. Apache jmeter. http://jmeter.apache.org. Accessed: 04/01/2014.

[2]

P. Bartalos and M. B. Blake. Green web services: Modeling and estimating power consumption of web services. In ICWS, pages 178--185, 2012.

Digital Library

[3]

M. Beck and J. Beck. WordPress: Visual QuickStart Guide. Pearson Education, 2013.

[4]

C. Bishop. Pattern Recognition and Machine Learning. Springer, USA, 2006.

Digital Library

[5]

J. Clark. It electricity use worse than you thought. http://www.theregister.co.uk/2013/08/16/. Accessed: 02/07/2014.

[6]

P. Clements and L. Northrop. Software Product Lines: Practices and Patterns. The SEI Series in Software Engineering. Prentice Hall, 2002.

[7]

K. Czarnecki and U. W. Eisenecker. Generative programming: methods, tools, and applications. ACM Press, New York, NY, USA, 2000.

Digital Library

[8]

B. Dougherty, J. White, and D. C. Schmidt. Model-driven auto-scaling of green cloud computing infrastructure. Future Gener. Comput. Syst., 28(2):371-378, Feb. 2012.

Digital Library

[9]

M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten. The weka data mining software: An update. SIGKDD Explorations, 11(1):10-18, 2009.

Digital Library

[10]

Linux. Linux powertop. https://01.org/powertop/. Accessed: 11/01/2013.

[11]

Microsoft. Joulemeter. http://research.microsoft.com/. Accessed: 07/01/2013.

[12]

I. M. Murwantara and B. Bordbar. A simplified method of measurement of energy consumption in cloud and virtualized environment. Accepted at Sustaincom 2014 Conference, 2014.

[13]

Oracle. The Java EE 6 Tutorial. Oracle Corp, 2013.

[14]

M. Shepperd and S. McDonell. Evaluating prediction systems in software project estimation. IST, 54(8):820-827, 2012.

Digital Library

[15]

N. Siegmund. Measuring and Predicting Non-Functional Properties of Customizable Programs. Phd theses, University of Magdeburg, Germany, November 2012.

[16]

K. Tatroe, P. MacIntyre, and R. Lerdorf. Programming PHP. O'Reilly Media, 2013.

Digital Library

[17]

W. Vereecken, D. Colle, B. Vermeulen, M. Pickavet, B. Dhoedt, and P. Demeester. Estimating and mitigating the energy footprint of icts. Report of meeting of Focus Group on ICT and Climate Change on International Telecomunication Union, 2008.

Cited By

Acher M(2024)A Demonstration of End-User Code Customization Using Generative AIProceedings of the 18th International Working Conference on Variability Modelling of Software-Intensive Systems10.1145/3634713.3634732(139-145)Online publication date: 7-Feb-2024
https://dl.acm.org/doi/10.1145/3634713.3634732
Lesoil LAcher MBlouin AJézéquel J(2023)Input sensitivity on the performance of configurable systems an empirical studyJournal of Systems and Software10.1016/j.jss.2023.111671201:COnline publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.jss.2023.111671
Mezouar HAfia A(2022)A Systematic Literature Review of Machine Learning Applications in Software EngineeringProceedings of the 5th International Conference on Big Data and Internet of Things10.1007/978-3-031-07969-6_24(317-331)Online publication date: 3-Jul-2022
https://doi.org/10.1007/978-3-031-07969-6_24
Show More Cited By

Index Terms

Measuring Energy Consumption for Web Service Product Configuration
1. Software and its engineering
  1. Software creation and management
    1. Software development techniques
      1. Reusability
  2. Software notations and tools
    1. Software libraries and repositories

Recommendations

A Generalized Energy Consumption Model for Wireless Sensor Networks
CICN '10: Proceedings of the 2010 International Conference on Computational Intelligence and Communication Networks

Energy is one of the scarcest resources in Sensor Networks. Though there has been lot of work done in considering energy efficiency and the plausibility of energy harvesting at the level of a single node, seldom has it been discussed at a topology or ...
Multi-tier Clustering Method to Prolong Network Lifetime in Wireless Sensor Network
ICCCT '15: Proceedings of the Sixth International Conference on Computer and Communication Technology 2015

Energy conservation is a key characteristic of wireless sensor network(WSNs). Therefore saving the energy is main issue in order to increase lifetime of network. It is essential to use effective and energy aware mechanism for energy conservation. ...
Measuring energy consumption using EML (energy measurement library)

Energy consumption and efficiency is a main issue in high performance computing systems in order to reach exascale computing. Researchers in the field are focusing their effort in reducing the first and increasing the latter while there is no current ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

iiWAS '14: Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services

December 2014

587 pages

ISBN:9781450330015

DOI:10.1145/2684200

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

@WAS: International Organization of Information Integration and Web-based Applications and Services
Johannes Kepler Univ Linz: Johannes Kepler Universität Linz

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 December 2014

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

iiWAS '14

iiWAS '14: The 16th International Conference on Information Integration and Web-based Applications & Services

December 4 - 6, 2014

Hanoi, Viet Nam

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
135
Total Downloads

Downloads (Last 12 months)13
Downloads (Last 6 weeks)1

Reflects downloads up to 23 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Acher M(2024)A Demonstration of End-User Code Customization Using Generative AIProceedings of the 18th International Working Conference on Variability Modelling of Software-Intensive Systems10.1145/3634713.3634732(139-145)Online publication date: 7-Feb-2024
https://dl.acm.org/doi/10.1145/3634713.3634732
Lesoil LAcher MBlouin AJézéquel J(2023)Input sensitivity on the performance of configurable systems an empirical studyJournal of Systems and Software10.1016/j.jss.2023.111671201:COnline publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.jss.2023.111671
Mezouar HAfia A(2022)A Systematic Literature Review of Machine Learning Applications in Software EngineeringProceedings of the 5th International Conference on Big Data and Internet of Things10.1007/978-3-031-07969-6_24(317-331)Online publication date: 3-Jul-2022
https://doi.org/10.1007/978-3-031-07969-6_24
Pereira JAcher MMartin HJézéquel JBotterweck GVentresque A(2021)Learning software configuration spacesJournal of Systems and Software10.1016/j.jss.2021.111044182:COnline publication date: 1-Dec-2021
https://dl.acm.org/doi/10.1016/j.jss.2021.111044
Murwantara I(2019)Profiling Energy Usage of Software Configurations for Virtualized Environment2019 5th International Conference on Science and Technology (ICST)10.1109/ICST47872.2019.9166204(1-6)Online publication date: Jul-2019
https://doi.org/10.1109/ICST47872.2019.9166204
Munoz DPinto MFuentes L(2018)Finding correlations of features affecting energy consumption and performance of web servers using the HADAS eco-assistantComputing10.5555/3288338.3288341100:11(1155-1173)Online publication date: 1-Nov-2018
https://dl.acm.org/doi/10.5555/3288338.3288341
Munoz DPinto MFuentes L(2018)Finding correlations of features affecting energy consumption and performance of web servers using the HADAS eco-assistantComputing10.1007/s00607-018-0632-7100:11(1155-1173)Online publication date: 18-Jun-2018
https://doi.org/10.1007/s00607-018-0632-7
Murwantara IBordbar BFilho J(2017)A Self-Adaptive Architecture with Energy Management in Virtualized Environments2017 International Conference on Soft Computing, Intelligent System and Information Technology (ICSIIT)10.1109/ICSIIT.2017.18(124-130)Online publication date: Sep-2017
https://doi.org/10.1109/ICSIIT.2017.18
Harman MJia YZhang Y(2015)Achievements, Open Problems and Challenges for Search Based Software Testing2015 IEEE 8th International Conference on Software Testing, Verification and Validation (ICST)10.1109/ICST.2015.7102580(1-12)Online publication date: Apr-2015
https://doi.org/10.1109/ICST.2015.7102580

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents