Power and Performance Efficient SDN-Enabled Fog Architecture

Adnan Akhunzada, Sherali Zeadally, Saif Ul Islam

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Software defined networks (SDNs) have dramatically simplified network management. However, enabling pure SDNs to respond in real-time while handling massive amounts of data still remains a challenging task. In contrast, fog computing has strong potential to serve large surges of data in real time. SDN control plane enables innovation, and greatly simplifies network operations and management thereby providing a promising solution to implement energy and performance aware SDN-enabled fog computing. Besides, power efficiency and performance evaluation in SDN-enabled fog computing is an area that has not yet been fully explored by the research community. We present a novel SDN-enabled fog architecture to improve power efficacy and performance by leveraging cooperative and noncooperative policy-based computing. Preliminary results from extensive simulation demonstrate an improvement in the power utilization as well as the overall performance (i.e., processing time, response time). Finally, we discuss several open research issues that need further investigation in the future.

Original languageEnglish
Pages (from-to)24-30
Number of pages7
JournalIT Professional
Volume23
Issue number6
DOIs
StatePublished - 2021

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Science Applications

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