Qualitative and Quantitative Management Methods for Autonomous Systems using Structured Identifier Management Technology

Abstract

Multi-vendor based Internet of things (IoT) has become a popular concept, and autonomous systems have been considered effective to address complicated IoT control systems and service systems. However, applying autonomous systems to IoT has caused problems in managing consistent identifiers. To solve these problems in system management, we propose a structured identifier (ID), which can define the complicated structure of control systems and computer systems by using IDs on a tree structure, and relational links, which can describe meaning for subsets and networking by using structured IDs. Furthermore, we propose quantitative and qualitative management methods for autonomous systems by controlling self-information of structured IDs for retrieving information by using regular expressions. Finally, we evaluate whether the proposed methods can be implemented in real solutions and find that they enable more than 1000 elements to be managed in a machine management solution. Additionally, they solve problems in 700,000 kinds of business programs management in a mega-bank resilience support service use case.