BalanceDN: Load-Balancing Allocation of Interest for Fast Discovery in Content Centric Networks

Murali Gunti, Roberto Rojas-Cessa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In Named Data Networking (NDN), data is identified by unique names instead of IP addresses, and routers use the names of the content to forward Interest packets towards the producers of the requested content. However, the current content search mechanism in NDN is complex and slow. This mechanism not only creates congestion but also hinders practical deployment due to its slowness and cumbersome nature. To address this issue, we propose a methodology, called BalanceDN, that distributes content through the network such that sought content can be found quickly. BalanceDN uses a distributed allocation of resolvers as those used by the domain name system but differs in how content is distributed. Our approach avoids flooding the network with pending interest requests and also eliminates the need for blind search when the location of content is unknown. We tested our approach on a simulation platform for NDN called ndnSIM. The results show that the proposed routing scheme utilizes far fewer network resources compared to the NDN network when retrieving content. The proposed scheme accomplishes this performance gain by leveraging a load-balanced hashing mechanism to distribute and locate the name of the content on the distributed nameserver lookup service nodes.

Original languageEnglish (US)
Title of host publication2023 IEEE World Forum on Internet of Things
Subtitle of host publicationThe Blue Planet: A Marriage of Sea and Space, WF-IoT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350311617
DOIs
StatePublished - 2023
Event9th IEEE World Forum on Internet of Things, WF-IoT 2023 - Hybrid, Aveiro, Portugal
Duration: Oct 12 2023Oct 27 2023

Publication series

Name2023 IEEE World Forum on Internet of Things: The Blue Planet: A Marriage of Sea and Space, WF-IoT 2023

Conference

Conference9th IEEE World Forum on Internet of Things, WF-IoT 2023
Country/TerritoryPortugal
CityHybrid, Aveiro
Period10/12/2310/27/23

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Modeling and Simulation
  • Instrumentation

Keywords

  • Content Search
  • Efficient Content Placement
  • Information Centric Networking
  • Interest Packet
  • Named Data Networking
  • Search Routing

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