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.

翻译：互联网的兴起给我们的生活带来了重大变化，而物联网的快速发展有望通过连接各种应用领域中的广泛设备产生更深远的影响。物联网设备，尤其是低端设备，受限于有限的内存和处理能力，因此需要在物联网操作系统内实现高效的内存管理。本文深入探讨了物联网系统中内存管理的重要性，主要关注此类系统的设计与配置，以及场景管理的可扩展性和性能。有效的内存管理对于优化资源使用、响应能力和适应性至关重要，尤其是在物联网生态系统不断发展的背景下。本研究提供了物联网系统背景下关于内存分配、场景执行、内存缩减和系统可扩展性的见解，最终凸显了内存管理在促进无缝高效物联网体验中所起的关键作用。