Abstract Machine learning techniques have been increasingly recognized for their capability
to solve complex optimization problems, and this paper explores their application in dynamic …

Abstract The Internet of Things (IoT) is revolutionizing resource management and
connectivity but poses challenges in device placement. To tackle these challenges, we …

Distributed systems often encounter challenges related to load balancing, impacting the
efficiency of device placement. In this study, we introduce innovative dynamic load …

Distributed systems rely on effective device placement strategies to optimize performance
and resource utilization. This paper provides a detailed comparative analysis of various fast …

Large-scale deployment of devices in various applications necessitates efficient resource
management to accommodate fluctuating demands. In this context, our proposed framework …