Intelligent Caching in Information-Centric Networks

MPhil Thesis Defence


Title: "Intelligent Caching in Information-Centric Networks"

By

Mr. Ho Tin CHIU


Abstract

Caching has become an integral part of the Internet to improve the performance 
of services and applications that rely on the Internet as a medium to 
disseminate information and content. Information-centric networks (ICN) is 
an alternative paradigm to reconstruct the Internet that puts information and 
content as the first class citizens. Under such paradigm, caching is natively 
supported in the network layer. In this thesis, we address the inefficiencies 
resulting from the default caching strategy employed by ICN forwarders, and 
discuss the design and implementation of two caching schemes that improve 
caching in the spatial and temporal dimensions.

In the spatial dimension, we introduce cooperative caching. Forwarders share 
their caches with one-hop neighbors while evicting redundant cache entries. We 
make several design decisions to make this scheme practical to implement. In 
the temporal dimension, we explore the use of machine learning methods to 
construct a model that is used to predict future content popularity based on 
past history, and design a cache algorithm that uses predicted popularity to 
make cache decisions. We evaluate the caching schemes by extensive emulations 
of network traffic on emulated network topologies.


Date:  			Friday, 20 August 2021

Time:			3:00pm - 5:00pm

Zoom meeting:
https://hkust.zoom.us/j/96484114794?pwd=NTlGbVBlN3dtUlM1TnpXRkdxNVFoQT09

Committee Members:	Dr. Brahim Bensaou (Supervisor)
 			Prof. Gary Chan (Chairperson)
 			Dr. Kai Chen


**** ALL are Welcome ****