Power and Performance Efficient SDN-Enabled Fog Architecture
Adnan Akhunzada (Senior Member, IEEE), Sherali Zeadally (Senior, Member, IEEE), Saif ul Islam

TL;DR
This paper proposes a novel SDN-enabled fog architecture that enhances power efficiency and performance through cooperative and non-cooperative policy-based computing, supported by simulation results.
Contribution
Introduction of a new SDN-enabled fog architecture that improves power and performance efficiency using policy-based computing methods.
Findings
Improved power utilization demonstrated in simulations.
Enhanced processing and response times shown in preliminary results.
Identified open research issues for future exploration.
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 non-cooperative policy-based computing. Preliminary results from extensive simulation demonstrate an improvement in the…
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Taxonomy
TopicsSoftware-Defined Networks and 5G · IoT and Edge/Fog Computing · Caching and Content Delivery
MethodsAttentive Walk-Aggregating Graph Neural Network
