Firm social management system for supporting IoT users in application environment

Internet of Things (IoT) applications connect various services and communication channels to support social user interaction. User management impedes the smooth operation of these networked services by causing interference and delayed responses. The suggested FMS provides a solution by resolving connection- and interference -related problems brought on by application switchovers and social effects. This article introduces a Firm Management System (FMS) for Heterogeneous Application Support (HAS) to solve the problems connected IoT applications encounter in delivering social user assistance. The FMS uses state learning methods and software -controlled networks for effective user and application administration. The system categorizes Application services based on user migration and social management effects like visibility and popularity. Considering the application's utilization condition and user migration patterns, it then assigns resources to the designated services. Through efficient user management infrastructures, this strategy guarantees support for varied users. The proposed algorithm improves high resource allocation by 10.65%, resulting in effective resource use. Additionally, it improves 9.73% service responsiveness, 7.9% latency, 10.89% service failures, and 7.59% system complexity. The results demonstrate how well the suggested system performs regarding resource allocation optimization, service response latency management, and service failure mitigation. The user experience and system effectiveness are improved due to these enhancements, which also increase the overall performance and dependability of IoT applications.