Self-Organizing Software Models for the Internet of Things
This addresses the need for autonomic software engineering foundations in IoT domains like healthcare and city management, but it is incremental as it builds on existing paradigms without demonstrating new applications.
The paper tackles the problem of managing increasingly dynamic and complex IoT systems by proposing self-organizing software models, where systems emerge autonomously without explicit programming, though no concrete results or numbers are provided.
The Internet of Things (IoT) envisions the integration of physical objects into software systems for automating crucial aspects of our lives, such as healthcare, security, agriculture, and city management. Although the vision is promising, with the rapid advancement of hardware and communication technologies, IoT systems are becoming increasingly dynamic, large, and complex to the extent that manual management becomes infeasible. Thus, it is of paramount importance to provide software engineering foundations for constructing autonomic IoT systems. In this paper, we introduce a novel paradigm referred to as self-organizing software models in which IoT software systems are not explicitly programmed, but emerge in a decentralized manner during system operation, with minimal or without human intervention. We particularly present an overview of these models by including their definition, motivation, research challenges, and potential directions.