A Novel Distributed Media Caching Technique for Seamless Video Streaming in Multi-Access Edge Computing Networks

Online video is anticipated to be the largest fraction of all mobile network traffic aside from huge processing tasks imposed on networks by billions IoT devices, causing unprecedented challenges current architecture. Edge caching has been proposed as a highly promising technology overcome this challenge placing computational and data storage resources at edge reduce latency backhaul traffic. However, are heavily constrained in their capacities large-scale deployments mean fairly distributing across network. Addressing limitation, we propose an scheme that dynamically caches first part popularity-ranked files Multi-Edge Computing Access Node (MAN) servers envisioned achieve higher cache hit ratios, lower latencies, The concept Regionally Organized Clouds (ROCs) with sufficient for file compute-intensive was introduced, formulation problem Integer Linear Programming (ILP) made. Additionally, study proposes view-time threshold each cached aimed reducing resource wastage caused when buffered contents abandoned. Comparative evaluations show its excellent performance over FIFO, Greedy, LFRU TLRU schemes.