Load Balancing and Mutisource Routing in Information-Centric-Networking

TL;DR

This paper proposes a multi-path load balancing technique for Information-Centric Networking using LSCR routing, demonstrating improved network performance through simulation comparisons.

Contribution

It introduces a novel multi-path interest and source data routing method for LSCR, enhancing load balancing in Information-Centric Networking.

Findings

Multi-path routing reduces link load.

Improved packet delivery and delay metrics.

Enhanced overall network performance.

Abstract

Information-Centric Networking is still an incomplete paradigm which introduces a large variety of new topics and approaches over the traditional networking. Since it is a relatively new concept which promises for easier and faster data access many aspects of it have been studied intensely in recent years. Nonetheless, load balancing is one of the least focused but high potency, open-ended areas. The aim of this project is to present an alternative technique to load balancing in the domain of pre-suggested routing method LSCR (Link State Content Routing). We suggested multi-path interest and multi-source data packet routing on the bases of Forwarding and Routing Tables of LSCR and packet routing protocol of Source Routing. We have developed a simulator software to implement and test the multi-path routing algorithm. Multi-path routing and LSCR are compared with regard to the load of the links, package loss, package delay and overall network performance.