A Model for Automated Service Composition System in SOA Environment

Abstract

Abstract. In this paper a holistic approach to automated service composition in Service Oriented Architecture is presented. The model described allows to specify both functional and non-functional requirements for the complex service. In order to do so a decomposition of the complex service composition process into three stages is proposed, in which a structure, a scenario and an execution plan of a complex service is built. It is believed that service composition tool based on the proposed model will be able to create complex services satisfying efficiently both functional and nonfunctional requirements.

Service Composition in Knowledge-based SOA Systems

“…In this case, some known methods (e.g. semantic composition 57) or GraphFold algorithm 54) ) can be used. Another approach is to use predefined mapping rules and a reasoning engine to find the best possible mapping conforming with non-functional requirements.…”

Service Composition Scenarios in the Internet of Things Paradigm

“…More details on the three-stage service composition and algorithms for this approach can be found in [14]. …”

Sensor application of mobile nursing integrated workstation measurement system based on SOA architecture model in nursing information management

“…The center of the mobile nursing integrated workstation refers to the use of mobile handheld intelligent terminal equipment, in conjunction with wireless network (WLAN) carriers, through the Windows Server 2003 server to perform data interaction with the Oracle database used in the background to achieve clinical medical care staff in the hospital. Patient information can be browsed, collected, transmitted, and extracted at anytime and anywhere, which fundamentally solves various problems existing in the medical system under the wired network 2 . The studies of e‐medical mainly focus on improving the hospital management efficiency and the monitoring of patients' condition.…”

“…Patient information can be browsed, collected, transmitted, and extracted at anytime and anywhere, which fundamentally solves various problems existing in the medical system under the wired network. 2 The studies of e-medical mainly focus on improving the hospital management efficiency and the monitoring of patients' condition. Among them, Wang et al proposed a fuzzy neighborhood algorithm based on real medical data, which solved many problems faced by modern hospitals, such as records of patients' hospital discharge, hospital bed management, and ambulance scheduling.…”