• Nikhil Kassetty
• Dr. Priya Pandey

Edge computing has emerged as a promising solution to meet the escalating demand for low-latency, high-performance processing in today’s data-driven world. However, effectively distributing workloads across a heterogeneous network of edge nodes remains a significant challenge. This paper introduces FLEX-EDGE, an innovative adaptive workload distribution framework specifically designed for edge-based distributed systems. FLEX-EDGE continuously monitors key performance indicators—including processing capacity, network latency, and energy consumption—to dynamically assign tasks where they can be executed most efficiently. By integrating real-time analytics with predictive algorithms, the framework adjusts workload allocations in response to fluctuating demand and varying resource availability. Extensive simulations reveal that FLEX-EDGE not only reduces overall processing delays but also enhances system throughput compared to conventional static allocation methods. The adaptive nature of the proposed framework ensures that critical tasks are prioritized while preventing overloading of individual nodes, thereby increasing both scalability and resilience. Moreover, FLEX-EDGE seamlessly integrates with existing edge infrastructures, offering a practical solution for a wide array of distributed applications, from Internet of Things (IoT) devices to real-time analytics platforms. The results underscore the potential of adaptive strategies in overcoming the limitations inherent in static load distribution models. Overall, FLEX-EDGE contributes to advancing the state-of-the-art in edge computing by providing an energy-efficient, robust, and scalable approach to workload management in complex, dynamic network environments.

Edge Computing; Distributed Systems; Adaptive Workload Distribution; Real-Time Analytics; Dynamic Load Balancing; IoT; Scalability; Resource Optimization

"FLEX-EDGE: Adaptive Workload Distribution for Edge-Based Distributed Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.h793-h803, February-2025, Available :http://www.jetir.org/papers/JETIR2502787.pdf

"FLEX-EDGE: Adaptive Workload Distribution for Edge-Based Distributed Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. pph793-h803, February-2025, Available at : http://www.jetir.org/papers/JETIR2502787.pdf