eCite Digital Repository

Trustworthy stigmergic service composition and adaptation in decentralized environments

Citation

Moustafa, A and Zhang, M and Bai, Q, Trustworthy stigmergic service composition and adaptation in decentralized environments, IEEE Transactions on Services Computing, 9, (2) pp. 317-329. ISSN 1939-1374 (2016) [Refereed Article]


Preview
PDF (Accepted version)
611Kb
  

Copyright Statement

Copyright 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

DOI: doi:10.1109/TSC.2014.2298873

Abstract

The widespread use of web services in forming complex online applications requires service composition to cope with highly dynamic and heterogeneous environments. Traditional centralized service composition techniques are not sufficient to address the needs of applications in decentralized environments. In this paper, a stigmergic-based approach is proposed to model the decentralized service interactions and handle service composition in highly dynamic open environments. In the proposed approach, web services and resources are modeled as multiple agents. Stigmergic-based self-organization mechanisms among agents are deployed to facilitate adapting service composition. In addition, to overcome the limitations of traditional QoS-based approaches, trust measurements are deployed as a criterion for service selection. To improve the performance of the proposed stigmergic-based approach under dynamic scale-free environments, we investigate the hybridization with local search operators to consolidate adaptation, and diversity schemes are introduced to facilitate continual service adaptation. Extensive experiments show the efficiency of the proposed approach in dealing with incomplete information and dynamic factors in composing and adapting web services in open environments. The experiment results also show that the proposed approach achieves a better performance than other traditional approaches.

Item Details

Item Type:Refereed Article
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Intelligent robotics
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Application software packages
UTAS Author:Bai, Q (Dr Quan Bai)
ID Code:140667
Year Published:2016
Web of Science® Times Cited:22
Deposited By:Information and Communication Technology
Deposited On:2020-09-01
Last Modified:2020-10-19
Downloads:3 View Download Statistics

Repository Staff Only: item control page