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Software defined network (SDN) based data server computing system

  • K. Madhura*
  • , Gillala Chandra Sekhar
  • , Amaresh Sahu
  • , M. P. Karthikeyan
  • , Saniya Khurana
  • , Meenu Shukla
  • , Nitish Vashisht
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The growing clientele and broadband demand lead to several technical restrictions in ensuring stable connections between data centers. The data on existing network devices such as switches, routers, and gateways must be routed to some particular point commonly known as software-defined network (SDN). SDN is defined as a networking approach that makes use of software-based controllers or application programming interfaces (API’s) to communicate with existing hardware and provide paths to traffic in the network. In order to overcome technical restrictions in the network, the given paper introduces an application-based enabled open flow information center network layout to accomplish transport load allocation and higher efficiency. In order to mitigate noise in the network, the proposed approach employs a data centre network (DCN) and implements it using SDN controller such as OpenDaylight (ODL). ODL is an open-source platform for automating networks of any size and scale. It allocates traffic requests among the linked servers, thereby ensuing higher throughput, optimization of load balancing, and versatility in SDN’s. Lastly, the performance of the proposed approach is validated by assessing the throughput rate (Mbps) and average delay (ms) prior to load balancing (BLD) and after load balancing (ALD). The results show that the proposed approach leads to higher throughput after load balancing optimization using ODL.

Original languageEnglish
Pages (from-to)607-613
Number of pages7
JournalInternational Journal of Information Technology (Singapore)
Volume17
Issue number1
DOIs
Publication statusPublished - 01-2025

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics
  • Electrical and Electronic Engineering

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