Edge Computing in Network-based Systems: Enhancing Latency-Sensitive Applications
K. Rajchandar, Maneesha Vinodini Ramesh, Anuj Tyagi, S Prabhu, Doddavarapu Sreenu Babu, Anthonisamy Roniboss · 2024
Relocating data storage and processing to the network’s periphery has revolutionized latency-sensitive applications with edge computing. This study examines how edge computing may boost network-based application performance. For applications with severe latency requirements, we explore how system loads, resource allocation mechanisms, and bandwidth limits across edges affect application response times. We introduce the Enhanced Capacity Edge Cloud Network (ECON) and compare it to a baseline scenario to evaluate its efficacy in different network scenarios. To optimize resource allocation for latency-sensitive applications, we mathematically describe and simulate a city-scale hybrid edge cloud system’s capacity. The study’s results may help build and implement edge computing technologies to enhance real-world application performance.