Publication Type
Journal Article
Version
submittedVersion
Publication Date
3-2020
Abstract
Service composition aims at achieving a business goal by composing existing service-based applications or components. The response time of a service is crucial, especially in time-critical business environments, which is often stated as a clause in service-level agreements between service providers and service users. To meet the guaranteed response time requirement of a composite service, it is important to select a feasible set of component services such that their response time will collectively satisfy the response time requirement of the composite service. In this work, we use the BPEL modeling language that aims at specifying Web services. We extend it with timing parameters and equip it with a formal semantics. Then, we propose a fully automated approach to synthesize the response time requirement of component services modeled using BPEL, in the form of a constraint on the local response times. The synthesized requirement will guarantee the satisfaction of the global response time requirement, statically or dynamically. We implemented our work into a tool, SELAMAT and performed several experiments to evaluate the validity of our approach.
Keywords
BPEL, Formal semantics, Modeling Web services, Parameter synthesis, Parametric model checking, Web service composition
Discipline
Software Engineering | Systems Architecture
Research Areas
Software and Cyber-Physical Systems
Publication
Software and Systems Modeling
First Page
1
Last Page
31
ISSN
1619-1366
Identifier
10.1007/s10270-020-00787-5
Publisher
Springer Verlag (Germany)
Citation
ANDRÉ, Étienne; TAN, Tian Huat; CHEN, Manman; LIU, Shuang; SUN, Jun; LIU, Yang; and DONG, Jin Song.
Automated synthesis of local time requirement for service composition. (2020). Software and Systems Modeling. 1-31.
Available at: https://ink.library.smu.edu.sg/sis_research/5112
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/s10270-020-00787-5