Power and Performance Efficient SDN-Enabled Fog Architecture
This addresses power and performance issues in SDN-enabled fog computing for network management, though it appears incremental as it builds on existing SDN and fog concepts.
The paper tackles the challenge of real-time data handling in Software Defined Networks (SDNs) by proposing a novel SDN-enabled fog architecture that improves power efficiency and performance through policy-based computing. Preliminary simulation results show improvements in power utilization, processing time, and response time.
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.