Genetic sequencing research approach for users' satisfaction in grid environments

Y. Ben Halima, Y. Jamoussi, H. Ben Gezala

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

Abstract

Nowadays, the satisfaction of the users' requirements of a composition process execution in a grid environment remains a difficult task to be accomplished. It is done by brokers or using simple mechanisms of matchmaking. There users must express their needs in the grid language and then the grid determines the way to execute. In this article we propose a genetic sequencing approach for the research of the best way to execute a composition of services in a grid environment satisfying the user's need. This paper presents the genetic sequencing approach and then presents how to adapt this approach for the determination of the best time to execute the service composition.

Original languageEnglish
Title of host publicationTechniques and Applications for Mobile Commerce. Proceedings of TAMoCo 2008
PublisherIOS Press
Pages132-138
Number of pages7
Volume169
Edition1
ISBN (Print)9781586038267
Publication statusPublished - 2008

Publication series

NameFrontiers in Artificial Intelligence and Applications
Number1
Volume169
ISSN (Print)0922-6389

Fingerprint

Chemical analysis

Keywords

  • composition
  • genetic sequencing
  • Grid computing
  • satisfaction
  • users' requirements
  • web services

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Ben Halima, Y., Jamoussi, Y., & Ben Gezala, H. (2008). Genetic sequencing research approach for users' satisfaction in grid environments. In Techniques and Applications for Mobile Commerce. Proceedings of TAMoCo 2008 (1 ed., Vol. 169, pp. 132-138). (Frontiers in Artificial Intelligence and Applications; Vol. 169, No. 1). IOS Press.

Genetic sequencing research approach for users' satisfaction in grid environments. / Ben Halima, Y.; Jamoussi, Y.; Ben Gezala, H.

Techniques and Applications for Mobile Commerce. Proceedings of TAMoCo 2008. Vol. 169 1. ed. IOS Press, 2008. p. 132-138 (Frontiers in Artificial Intelligence and Applications; Vol. 169, No. 1).

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

Ben Halima, Y, Jamoussi, Y & Ben Gezala, H 2008, Genetic sequencing research approach for users' satisfaction in grid environments. in Techniques and Applications for Mobile Commerce. Proceedings of TAMoCo 2008. 1 edn, vol. 169, Frontiers in Artificial Intelligence and Applications, no. 1, vol. 169, IOS Press, pp. 132-138.
Ben Halima Y, Jamoussi Y, Ben Gezala H. Genetic sequencing research approach for users' satisfaction in grid environments. In Techniques and Applications for Mobile Commerce. Proceedings of TAMoCo 2008. 1 ed. Vol. 169. IOS Press. 2008. p. 132-138. (Frontiers in Artificial Intelligence and Applications; 1).
Ben Halima, Y. ; Jamoussi, Y. ; Ben Gezala, H. / Genetic sequencing research approach for users' satisfaction in grid environments. Techniques and Applications for Mobile Commerce. Proceedings of TAMoCo 2008. Vol. 169 1. ed. IOS Press, 2008. pp. 132-138 (Frontiers in Artificial Intelligence and Applications; 1).
@inproceedings{622382fde0d749508dbb25136d2cb6f0,
title = "Genetic sequencing research approach for users' satisfaction in grid environments",
abstract = "Nowadays, the satisfaction of the users' requirements of a composition process execution in a grid environment remains a difficult task to be accomplished. It is done by brokers or using simple mechanisms of matchmaking. There users must express their needs in the grid language and then the grid determines the way to execute. In this article we propose a genetic sequencing approach for the research of the best way to execute a composition of services in a grid environment satisfying the user's need. This paper presents the genetic sequencing approach and then presents how to adapt this approach for the determination of the best time to execute the service composition.",
keywords = "composition, genetic sequencing, Grid computing, satisfaction, users' requirements, web services",
author = "{Ben Halima}, Y. and Y. Jamoussi and {Ben Gezala}, H.",
year = "2008",
language = "English",
isbn = "9781586038267",
volume = "169",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
number = "1",
pages = "132--138",
booktitle = "Techniques and Applications for Mobile Commerce. Proceedings of TAMoCo 2008",
edition = "1",

}

TY - GEN

T1 - Genetic sequencing research approach for users' satisfaction in grid environments

AU - Ben Halima, Y.

AU - Jamoussi, Y.

AU - Ben Gezala, H.

PY - 2008

Y1 - 2008

N2 - Nowadays, the satisfaction of the users' requirements of a composition process execution in a grid environment remains a difficult task to be accomplished. It is done by brokers or using simple mechanisms of matchmaking. There users must express their needs in the grid language and then the grid determines the way to execute. In this article we propose a genetic sequencing approach for the research of the best way to execute a composition of services in a grid environment satisfying the user's need. This paper presents the genetic sequencing approach and then presents how to adapt this approach for the determination of the best time to execute the service composition.

AB - Nowadays, the satisfaction of the users' requirements of a composition process execution in a grid environment remains a difficult task to be accomplished. It is done by brokers or using simple mechanisms of matchmaking. There users must express their needs in the grid language and then the grid determines the way to execute. In this article we propose a genetic sequencing approach for the research of the best way to execute a composition of services in a grid environment satisfying the user's need. This paper presents the genetic sequencing approach and then presents how to adapt this approach for the determination of the best time to execute the service composition.

KW - composition

KW - genetic sequencing

KW - Grid computing

KW - satisfaction

KW - users' requirements

KW - web services

UR - http://www.scopus.com/inward/record.url?scp=84875916280&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84875916280&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84875916280

SN - 9781586038267

VL - 169

T3 - Frontiers in Artificial Intelligence and Applications

SP - 132

EP - 138

BT - Techniques and Applications for Mobile Commerce. Proceedings of TAMoCo 2008

PB - IOS Press

ER -