poster

Equitable solutions in QoS-aware service optimization

Authors:

Mihai Suciu,

Marcel Cremene,

Florin Pop,

Dumitru DumitrescuAuthors Info & Claims

GECCO '12: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation

Pages 1537 - 1538

https://doi.org/10.1145/2330784.2331034

Published: 07 July 2012 Publication History

Get Access

Abstract

Web services QoS optimization problem using the concept of Lorenz dominance is addressed. Lorenz solutions are equitable and well balanced. Such an approach could simplify the Decision Maker's choice. Evolutionary detection of Lorenz solution seem to be an appealing one. Some state-of-the art MOEAs are slightly modified for addressing the QoS optimization problem. Lorenz solutions drastically reduce the number of solutions in the Pareto set, and thus the decision costs.

References

[1]

G. Canfora, M. Di Penta, R. Esposito, and M. L. Villani. An approach for qos-aware service composition based on genetic algorithms. In Proceedings of the 2005 conference on Genetic and evolutionary computation, GECCO'05, 1069--1075, 2005.

Digital Library

Google Scholar

[2]

M. M. Kostreva and W. Ogryczak. Linear optimization with multiple equitable criteria. Operations Research, 33(3):275--297, 1999.

Crossref

Google Scholar

[3]

L. Li, P. Cheng, L. Ou, and Z. Zhang. Applying multi-objective evolutionary algorithms to qos-aware web service composition. In Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II, ADMA'10, 270--281, 2010.

Digital Library

Google Scholar

[4]

H. Taboada, J. Espiritu, and D. Coit. Moms-ga: A multi-objective multi-state genetic algorithm for system reliability optimization design problems. Reliability, IEEE Transactions on, 57(1):182 --191, 2008.

Google Scholar

[5]

Y. Yao and H. Chen. Qos-aware service composition using nsga-ii. In Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, ICIS '09, 358--363, 2009.

Digital Library

Google Scholar

Cited By

View all

da Silva AMa HMei YZhang M(2020)A Survey of Evolutionary Computation for Web Service Composition: A Technical PerspectiveIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2020.29692134:4(538-554)Online publication date: Aug-2020
https://doi.org/10.1109/TETCI.2020.2969213
Mesquita CCavalca UPereira ACarrano EPrazeres CSampaio PSantanchè ASantos CGoularte R(2013)A traffic shaping optimization methodology for web systemsProceedings of the 19th Brazilian symposium on Multimedia and the web10.1145/2526188.2526190(209-216)Online publication date: 5-Nov-2013
https://dl.acm.org/doi/10.1145/2526188.2526190
Cavalca UMesquista CPereira ACarrano E(2013)A computational intelligence based approach for computer network traffic shaping2013 IEEE Congress on Evolutionary Computation10.1109/CEC.2013.6557893(2680-2686)Online publication date: Jun-2013
https://doi.org/10.1109/CEC.2013.6557893
Show More Cited By

Index Terms

Equitable solutions in QoS-aware service optimization
1. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Process validation

Recommendations

Comparative analysis of multi-objective evolutionary algorithms for QoS-aware web service composition

Graphical abstractDisplay Omitted HighlightsMost existing approaches reduce the multi-objective optimization problem of QoS-aware web service composition to a single-objective problem using scalarization.No comparative study with several multi-objective ...
QoS-aware service composition using NSGA-II₁
ICIS '09: Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human

Web services are rapidly changing the landscape of software engineering. One of the most important technologies introduced by them is Web service composition (WSC). In this paper, we model the Quality of Service (QoS)-aware service composition problem ...
Flexible QoS-aware services composition for service computing environments
Abstract
The rapid development of service computing environments has led to an increase in the number of functionally equivalent services that differ according to their QoS (Quality of Service) attributes values. Accordingly, a challenging ...

Comments

Information & Contributors

Information

Published In

GECCO '12: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation

July 2012

1586 pages

ISBN:9781450311786

DOI:10.1145/2330784

Editor:
Terence Soule
University of Idaho, USA
,
General Chair:
Jason H. Moore
Dartmouth College, USA

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Poster

Conference

GECCO '12

Sponsor:

SIGEVO

GECCO '12: Genetic and Evolutionary Computation Conference

July 7 - 11, 2012

Pennsylvania, Philadelphia, USA

Acceptance Rates

Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
71
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 25 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

da Silva AMa HMei YZhang M(2020)A Survey of Evolutionary Computation for Web Service Composition: A Technical PerspectiveIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2020.29692134:4(538-554)Online publication date: Aug-2020
https://doi.org/10.1109/TETCI.2020.2969213
Mesquita CCavalca UPereira ACarrano EPrazeres CSampaio PSantanchè ASantos CGoularte R(2013)A traffic shaping optimization methodology for web systemsProceedings of the 19th Brazilian symposium on Multimedia and the web10.1145/2526188.2526190(209-216)Online publication date: 5-Nov-2013
https://dl.acm.org/doi/10.1145/2526188.2526190
Cavalca UMesquista CPereira ACarrano E(2013)A computational intelligence based approach for computer network traffic shaping2013 IEEE Congress on Evolutionary Computation10.1109/CEC.2013.6557893(2680-2686)Online publication date: Jun-2013
https://doi.org/10.1109/CEC.2013.6557893
Cavalca UMesquista CPereira ACarrano E(2012)A methodology for traffic shaping multiobjective optimization for next generation network2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)10.1109/CASoN.2012.6412426(345-350)Online publication date: Nov-2012
https://doi.org/10.1109/CASoN.2012.6412426

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.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Comparative analysis of multi-objective evolutionary algorithms for QoS-aware web service composition

QoS-aware service composition using NSGA-II1

Flexible QoS-aware services composition for service computing environments

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations

QoS-aware service composition using NSGA-II₁