Service-Oriented Architecture for Intelligent Management with Data Analytics and Visualization

• Published in: 2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA) pp. 73 - 78
• Main Authors: Lin, Hsuan-Yu, Chiu, Yu-Hsuan, Liao, Wei-Chieh, Chang, Ray-I
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-11-2019
• Subjects: big data; Cloud computing; Computer architecture; CPS; Data analysis; Data collection; Data visualization; Internet of Things; IoT; machine learning; Service-oriented architecture; SOA; visualization
• DOI: 10.1109/SOCA.2019.00018

Future intelligent management systems compose of heterogeneous devices with lots of applications cooperatively to analyze data. Recent advances in Service-Oriented Architecture (SOA) provide opportunities for solving this challenge with reusability, composability, and abstraction. In this paper, we develop an intelligent management platform using cloud computing and SOA. It provides different service modules to collect, store, analyze, and visualize the Internet of Things (IoT) data to fit Cyber-Physical System (CPS), all these functions are wrapped as RESTful APIs so it can be imported to other applications, making the same service can be reused to meet the requirements of different fields. In addition, an editable dynamic dashboard service is proposed to personalize the management demand in a click-and-drag way. Users can analyze and observe data for intelligent management. Finally, we apply these services to build three different applications to validate the power of our service platform.