Memory Management Strategies for an Internet of Things System
November 17, 2023 Β· Declared Dead Β· π International Symposium on Fundamentals of Electrical Engineering
"No code URL or promise found in abstract"
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Authors
Ana-Maria ComeagΔ, Iuliana Marin
arXiv ID
2311.10458
Category
cs.SE: Software Engineering
Cross-listed
cs.OS
Citations
2
Venue
International Symposium on Fundamentals of Electrical Engineering
Last Checked
4 months ago
Abstract
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.
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