Structure Of Service-oriented Architecture Research Articles

Implementasi Model Service-Oriented Architecture (SOA) dalam Perancangan Sistem Informasi UMKM

This research focuses on developing a Small and Medium Enterprises (SMEs) Information System architecture using the Service-Oriented Architecture (SOA) and microservices approach. This study successfully integrated SME system services and functionalities encompassing accounting management, financial management, product analysis, stock management, invoicing, and taxation services within an SOA structure. Adopting the principles of microservices, each service was able to isolate information and ensure consistency within its scope. Using CI/CD, service mesh, and the Kubernetes platform facilitated efficient and secure code delivery and effective inter-service communication management. This research demonstrates the importance of service-oriented architecture and microservices in building a modular, flexible, and customizable SME information system that can reuse resources and reduce dependency on back-end applications. As a result, the system produced can be easily adapted and enhanced to meet changing policy and business needs.

An intelligent-ranking framework for web services selection process

This paper introduces an intelligent framework for selecting the best candidate service from the registered and published services within a particular registry through analysing the providers, the consumers and the registry constraints in addition to the business environment requirements. The proposed framework involves three particular phases conforming to the main structure of service-oriented architecture (SOA) which is the provider, consumer and registry. In each phase, an appropriate intelligent technique is deployed for establishing a particular functionality. Specifically, an intelligent agent technique is run at the provider’s side for validating the encapsulated business within the designed WSs, a data mining model is executed at the registry’s side for classifying the registered WSs with respect to their quality of services (QoS) parameters, and a statistical methodology which combines the registry and consumers’ preferences is applied in order to recommend the best WS expected to operate properly with the target business process.