loading
Papers

Research.Publish.Connect.

Paper

Authors: Sahar Regaieg 1 ; Saloua Ben Yahia 2 and Samir Ben Ahmed 1

Affiliations: 1 LISI Laboratory, INSAT Institute, Carthage University, Tunis, Tunisia, Faculty of Mathematical, Physical and Natural Sciences of Tunis (FST), Tunis El Manar University, Tunis and Tunisia ; 2 LISI Laboratory, INSAT Institute, Carthage University, Tunis and Tunisia

ISBN: 978-989-758-320-9

Keyword(s): Web Service Composition, Quality of Service, Skyline, Representative Skyline, Cluster, Partition.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Health Engineering and Technology Applications ; Knowledge-Based Systems ; Symbolic Systems

Abstract: Optimizing the composition of web services is a multi-criteria optimization problem that consists in selecting the best web services candidates from a set of services having the same functionalities but with different Quality of Service (QoS). In a large scale context, the huge number of web services leads to a great challenge: how to find the optimal web services composition while satisfying all the constraints within a reasonable execution time. Most of the solutions dealing with large scale systems propose a parallel Skyline phase performed on a partitioned data space to preselect the best web services candidates. The Global Skyline is computed after the consolidation of all the Local Skylines and, eventually the optimization algorithm is applied. However, these partitioning approaches are only based on pure geometric rules and do not classify the web services according to their real contribution to the optimal or sub-optimal solution search area. We will propose in this paper an i ntelligent partitioning approach using a cluster based algorithm combined with the representative Skyline. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.215.182.36

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Regaieg, S.; Yahia, S. and Ahmed, S. (2018). Web Service Selection based on Parallel Cluster Partitioning and Representative Skyline.In Proceedings of the 13th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-320-9, pages 648-655. DOI: 10.5220/0006904106820689

@conference{icsoft18,
author={Sahar Regaieg. and Saloua Ben Yahia. and Samir Ben Ahmed.},
title={Web Service Selection based on Parallel Cluster Partitioning and Representative Skyline},
booktitle={Proceedings of the 13th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2018},
pages={648-655},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006904106820689},
isbn={978-989-758-320-9},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Web Service Selection based on Parallel Cluster Partitioning and Representative Skyline
SN - 978-989-758-320-9
AU - Regaieg, S.
AU - Yahia, S.
AU - Ahmed, S.
PY - 2018
SP - 648
EP - 655
DO - 10.5220/0006904106820689

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.