Title: A context-sensitive service composition framework for dependable service provision in cyber-physical systems
Authors: Tao Wang; Chongli Niu; Lianglun Cheng; Jianhua Wang
Addresses: School of Automation, Guangdong University of Technology, Guangzhou 510006, China ' Guangdong Planning and Designing Institute of Telecommunications Co., Ltd, Guangzhou 510630, China ' School of Computer, Guangdong University of Technology, Guangzhou 510006, China ' School of Computer, Guangdong University of Technology, Guangzhou 510006, China
Abstract: Most of the service-oriented architecture-based mechanisms for web services are insufficient to support-dependable service composition with the heterogeneous, dynamic physical entities in a cyber-physical system (CPS). Taking into account the contexts of physical entities, this paper presents a context-sensitive service composition framework in a CPS with dependability requirements. First, an ontology model for context-sensitive service specification of physical entities is proposed. Then, a service workflow spanning graph SWSG is used to map the workflow based abstract process model of a given task to multiple sets of atomic service instances. Finally, we present a two-phase context-sensitive service composition optimisation mechanism, which is able to select out the optimal service providers to implement the task effectively and dependably. The experiment results show that the precision and efficiency of service discovery, the success ratio of workflow execution and the performance of service combination optimisation have been greatly improved with our proposed method.
Keywords: CPS; cyber-physical systems; service composition; context-sensitive services; service spanning tree; service workflow spanning graph; service combination optimisation; service reliability; service provision; service-oriented architecture; SOA; web services; service discovery; workflow execution.
International Journal of Ad Hoc and Ubiquitous Computing, 2017 Vol.24 No.4, pp.237 - 251
Received: 08 Jan 2014
Accepted: 03 Nov 2014
Published online: 12 Mar 2017 *