Welcome to the InfoSci Platform
Reference Hub2
Adaptive BPEL Service Compositions via Variability Management: A Methodology and Supporting Platform

Adaptive BPEL Service Compositions via Variability Management: A Methodology and Supporting Platform

Chang-ai Sun, Zhen Wang, Ke Wang, Tieheng Xue, Marco Aiello
Copyright: © 2019 |Volume: 16 |Issue: 1 |Pages: 33
ISSN: 1545-7362|EISSN: 1546-5004|EISBN13: 9781522563983|DOI: 10.4018/IJWSR.2019010103
Cite Article Cite Article

MLA

Sun, Chang-ai, et al. "Adaptive BPEL Service Compositions via Variability Management: A Methodology and Supporting Platform." IJWSR vol.16, no.1 2019: pp.37-69. http://doi.org/10.4018/IJWSR.2019010103

APA

Sun, C., Wang, Z., Wang, K., Xue, T., & Aiello, M. (2019). Adaptive BPEL Service Compositions via Variability Management: A Methodology and Supporting Platform. International Journal of Web Services Research (IJWSR), 16(1), 37-69. http://doi.org/10.4018/IJWSR.2019010103

Chicago

Sun, Chang-ai, et al. "Adaptive BPEL Service Compositions via Variability Management: A Methodology and Supporting Platform," International Journal of Web Services Research (IJWSR) 16, no.1: 37-69. http://doi.org/10.4018/IJWSR.2019010103

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Service-Oriented Architectures are a popular development paradigm to enable distributed applications constructed from independent web services. When coordinated, web services are an infrastructure to fulfill dynamic and vertical integration of business. They may face frequent changes of both requirements and execution environments. Static and predefined service compositions using business process execution language (BPEL) are not able to cater for such rapid and unpredictable context shifts. The authors propose a variability management-based adaptive and configurable service composition approach that treats changes as first-class citizens and consists of identifying, expressing, realizing, and managing changes of service compositions. The proposed approach is realized with a language called VxBPEL to support variability in service compositions and a platform for design, execution, analysis, and maintenance of VxBPEL-based service compositions. Four case studies validate the feasibility of the proposed approach while exhibiting good performance of the supporting platform.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.