  The rise of the Internet has brought about significant changes in our lives,
and the rapid expansion of the Internet of Things (IoT) is poised to have an
even more substantial impact by connecting a wide range of devices across
various application domains. IoT devices, especially low-end ones, are
constrained by limited memory and processing capabilities, necessitating
efficient memory management within IoT operating systems. This paper delves
into the importance of memory management in IoT systems, with a primary focus
on the design and configuration of such systems, as well as the scalability and
performance of scene management. Effective memory management is critical for
optimizing resource usage, responsiveness, and adaptability as the IoT
ecosystem continues to grow. The study offers insights into memory allocation,
scene execution, memory reduction, and system scalability within the context of
an IoT system, ultimately highlighting the vital role that memory management
plays in facilitating a seamless and efficient IoT experience.
