The service-oriented architecture （SOA） and the model-driven architecture （MDA） have been rec- ognized as major evolutionary steps in enterprise integration （El） in service-oriented computing environ- ments. Service-oriented enterprise （SOE） networks （SOEN） are emerging with the significant advances of El, SOA, and MDA. However, the implementation and optimization of SOEN is still lacking integrated SOA, MDA, and performance analysis and optimization （PAO） methods. This paper introduces an integrated solu- tion of SOA and MDA with a simulation-based three-stage PAO method with stage 1 being an analytic hier- archy process （AHP）-based comprehensive performance calculation for service matching and binding, stage 2 being a simulation-based comprehensive performance evaluation for business process/service composition, and stage 3 being a business process simulation-based performance optimization for SOEN. The SOE architecture, performance analysis framework, performance indicators, and performance opera- tors are discussed. The system uses MDA as the system development philosophy, SOA as the system im- plementation infrastructure, and the simulation-based PAO methods to analyze and optimize the SOEN performance. A case study of the SOEN illustrates the usage of the integrated solution.
Semantic extraction is essential for semantic interoperability in multi-enterprise business collaboration environments. Although many studies on semantic extraction have been carried out, few have focused on how to precisely and effectively extract semantics from multiple heterogeneous data schemas. This paper presents a semi-automatic semantic extraction method based on a neutral representation format （NRF） for acquiring semantics from heterogeneous data schemas. As a unified syntax-independent model, NRF removes all the contingencies of heterogeneous data schemas from the original data environment. Conceptual extraction and keyword extraction are used to acquire the semantics from the NRF. Conceptual extraction entails constructing a conceptual model, while keyword extraction seeks to obtain the metadata. An industrial case is given to validate the approach. This method has good extensibility and flexibility. The results show that the method provides simple, accurate, and effective semantic interoperability in multi-enterprise business collaboration environments.
针对目前企业遗留系统服务化封装的正确性因缺少形式化描述而导致无法验证的不足,在分析 Web 服务描述语言(WSDL)语法规范的基础上,给出了遗留系统的形式化表示和基于数据约束子集的系统分解和封装模型,进一步给出了基于形式化描述的企业遗留系统的服务化封装方法,为系统封装模型的正确性验证提供了形式化基础。上述方法在操作上的可行性在一个应用案例中得到了验证。
