3.
Srinivasa Rao Ch
– Malla Reddy Engineering College for Women, Hyderabad, Telangana, India.
4.
V. S. R. K. Raju
– Koneru Lakshmaiah Education, Bowarmpet, Hyderabad, Telangana, India.
5.
Chandrarao Merla
– Malla Reddy Engineering College for Women, Hyderabad, Telangana, India.
Received -
Accepted -
Published 20-Jun-2026
Abstract
Gadgets hooked to the web right away must process numbers fast, without delays, just to keep going. When too many requests head miles away to big server sites, slowdowns pop up - traffic piles up, links choke. Instead of sticking to one spot, work moves around, guided by real-time signals that say where tasks land easiest. Whether near or far depends on how busy each point feels at that second. Constant checks on what users need let systems shift brainpower quietly between local tools and remote zones. Trials prove it trims lag, uses networks smarter, holds performance firm when split-second timing counts.
Keywords Dynamic workload management, Edge computing, Internet of Things (IoT), Latency reduction, Real-time systems, Resource allocation.
