A Review of Resource Allocation and Management Methods in IoT

TLDR: In this paper, the authors examined the problem of resource allocation and management in the cloud, fog, or edge nodes for computing and storage in the IoT. Artificial intelligence-based methods are one of them.

Abstract: IoT systems are one of the most important areas of developing technology. IoT application solutions are becoming widespread and their usage areas are expanding. Therefore, studies to develop IoT technologies are also increasing. Although the benefits of developing technology are enormous, it includes some difficulties. One of the most important challenges in IoT systems is resource allocation and management. Cloud, fog, or edge computing methods are used for storage and computing processes in IoT applications. Data perceived from resource-constrained devices reach these computing nodes. Resource allocation and management must be made in the cloud, fog, or edge nodes for computing and storage. The correct and complete resource allocation and management are very important for the performance of the system. Numerous methods are proposed for this. Artificial intelligence-based methods are one of them. This study examines IoT resource allocation and management.