Optimizing CDN Architectures: Multi-Metric Algorithmic Breakthroughs for Edge and Distributed Performance

TL;DR

This paper presents data-driven evaluations and algorithmic improvements for CDN architectures, focusing on dynamic server selection, resource management, and adaptive routing to enhance scalability and performance in edge and distributed systems.

Contribution

It introduces novel evaluation methods and optimization strategies for CDN algorithms, addressing scalability challenges and resource efficiency in dynamic, geographically distributed environments.

Findings

Significant reduction in latency through optimized server selection.

Improved resource utilization with bandwidth throttling techniques.

Trade-offs identified between scalability and CPU usage.

Abstract

A Content Delivery Network (CDN) is a powerful system of distributed caching servers that aims to accelerate content delivery, like high-definition video, IoT applications, and ultra-low-latency services, efficiently and with fast velocity. This has become of paramount importance in the post-pandemic era. Challenges arise when exponential content volume growth and scalability across different geographic locations are required. This paper investigates data-driven evaluations of CDN algorithms in dynamic server selection for latency reduction, bandwidth throttling for efficient resource management, real-time Round Trip Time analysis for adaptive routing, and programmatic network delay simulation to emulate various conditions. Key performance metrics, such as round-trip time (RTT) and CPU usage, are carefully analyzed to evaluate scalability and algorithmic efficiency through two experimental setups: a constrained edge-like local system and a scalable FABRIC testbed. The statistical validation of RTT trends, alongside CPU utilization, is presented in the results. The optimization process reveals significant trade-offs between scalability and resource consumption, providing actionable insights for effectively deploying and enhancing CDN algorithms in edge and distributed computing environments.