Explore a conference talk that delves into the measurement techniques for discovering in-network caching policies in Named Data Networking (NDN). Learn about the importance of caching in NDN and how different caching schemes can impact network performance. Discover the feasibility of detecting NDN caching schemes through active measurement from edge systems. Understand how to determine router algorithms for content caching decisions and infer caching probabilities for stochastic schemes. Examine the robustness of these measurement methods against cross traffic impacts on router cache content. Gain insights into the challenges and future work in measuring NDN network states, including estimating hop counts and detecting caching policies on real network topologies.
Discovering In-Network Caching Policies in NDN Networks from a Measurement Perspective - ACM ICN 2020
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Intro
NDN requires measuring in-network states Network measurement tools cover various aspects in IP networks
Goals and Assumptions
List of caching decisions developed for NDN
Measurement procedure
Example: LCD caching decision
Fingerprint of LCD mechanism
Fingerprints for other mechanisms
Fingerprints for probabilistic caching mechanisms
Cross traffic may hurt measurements
Robustness to cross traffic (cont.)
Estimate static probabilistic value
Detecting on real topology
Estimating hop counts
Future work
Taught by
Association for Computing Machinery (ACM)
