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Power and Performance Efficient SDN-Enabled Fog Architecture

arXiv 2105.14607 ↗First posted 30 May 2021cs.DC cs.AI cs.NIcited by 0

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Abstract (arXiv)

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 non-cooperative 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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 18 references that are in the map. First posted on arXiv 30 May 2021.

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2 of 18 references.

References · 2

  1. 2016iFogSim: A Toolkit for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environmentscited by 11
  2. 2019Application Component Placement in NFV-based Hybrid Cloud/Fog Systems with Mobile Fog Nodescited by 1

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