Real-time Settings and Their Transformation through Distributed Intelligence Communication Technologies

Modern real-time settings and dispersed intelligence communication technologies require new solutions to improve efficiency, flexibility, and scalability. This research introduces dynamic edge-cloud orchestration for real-time intelligence. The approach uses the Dynamic Task Allocation Algorithm (DTAA), the Predictive Resource Scaling Algorithm (PRSA), and the Adaptive Communication Routing Algorithm. DTAA distributes work between edge devices and the cloud based on priority, processing time, and resources. PRSA estimates future resource needs, making edge and cloud scaling easier. ACRA adjusts communication routes based on latency, job priority, and network circumstances. We use numbers to compare the new strategy to six popular ones. These include SDA, TFA, RBI, FBA, and PRT. The proposed option outperforms the others in latency, scalability, security, reliability, freedom, and resource utilization. Due to its comprehensive framework for smart task assignment, resource management, and communication enhancement, DECO-RTI is a major advance in real-time settings. The approach can adapt to changing situations and automatically scale up resources, making it ahead of the curve for distributed intelligent communication systems.

I. Introduction

In a world where technology is continually evolving, real-time settings and distributed intelligence communication technologies are crucial to how we interact with and comprehend the environment [1]. These two disciplines coming together offer great potential, allowing firms in many fields to develop new methods that are more efficient, rapid, and adaptable. Setting Scene Options Live: Current systems work on real-time settings, which process and send data swiftly. From financial transactions to healthcare tracking, timely interaction and choices are needed everywhere. Real-time skills are crucial in Industry 4.0, where networked devices power smart ecosystems [2]. Fast data processing and quick response are needed to improve technology for a more connected and speedier world. First steps toward distributed intelligence communication technologies: Distributed intelligence communication technologies, unlike centralized systems, are testing old notions. Networked devices and the IoT enabled these technologies. They empower users to collaborate on issues and choices by spreading computer power over a network [3].