Smart City Gnosys

Smart city article details

Title	An Energy Efficient Fog Level Resource Management Scheme For Software Defined Cities
ID_Doc	7990
Authors	Choudhury S.; Pradhan B.; Francis S.A.J.; Roy D.S.
Year	2023
Published	Sustainable Energy Technologies and Assessments, 57
DOI	http://dx.doi.org/10.1016/j.seta.2023.103289
Abstract	The proliferation of Internet of Things (IoT) and smart city services have paved the path for complex network architectures including edge and fog layer resources in order to meet such services’ Quality of Service (QoS). Such services should also be energy efficient for sustainable cities. Though energy efficiency has been widely studied over the past decade, yet most such solutions have focused on device or sensor level solutions or alternatively on cloud/datacenter level solutions. With the prominence of Software Defined Networks (SDNs) in recent times owing to its flexible and scalable network management features, SDN based fog level resource management has become an attractive alternative. This paper addresses fog level energy-aware resource management with the goal of minimizing energy consumption while QoS fulfillment by means of Virtual Machine (VM) consolidation through live migrations. Since any decent sized smart city would have millions of devices and large numbers of edge/fog instances, it would lead any solution mechanism to a NP hard problem. This paper proposes a novel set based Differential Evolutionary (S-DE) algorithm. Simulations have been carried out to test the efficacy of the proposed S-DE solution and the results demonstrate the efficiency of the proposed method. © 2023 Elsevier Ltd
Author Keywords	Energy management; Fog computing; Internet of Things (IoT); Resource management; Smart city; Software Defined Networks (SDN)

Similar Articles

Id	Similarity	Authors	Title	Published
647	0.877	Butt A.A.; Khan S.; Ashfaq T.; Javaid S.; Sattar N.A.; Javaid N.	A Cloud And Fog Based Architecture For Energy Management Of Smart City By Using Meta-Heuristic Techniques	2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019 (2019)
58085	0.868	Nikam R.R.; Motwani D.	Towards Decentralized Fog Computing: A Comprehensive Review Of Models, Architectures, And Services	Lecture Notes in Networks and Systems, 818 (2024)
58133	0.868	Reddy K.H.K.; Luhach A.K.; Kumar V.V.; Pratihar S.; Kumar D.; Roy D.S.	Towards Energy Efficient Smart City Services: A Software Defined Resource Management Scheme For Data Centers	Sustainable Computing: Informatics and Systems, 35 (2022)
23259	0.865	Fereira R.J.; Ranaweera C.; Lee K.; Schneider J.-G.	Energy Efficient Resource Management For Real-Time Iot Applications	Internet of Things (The Netherlands), 30 (2025)
18375	0.865	Maiti P.; Apat H.K.; Kumar A.; Sahoo B.; Turuk A.K.	Deployment Of Multi-Tier Fog Computing System For Iot Services In Smart City	International Symposium on Advanced Networks and Telecommunication Systems, ANTS, 2019-December (2019)
23738	0.865	Jabbar M.S.	Enhancing An Intelligent Model For Enhancing Software-Defined Networking (Sdn) Achievement Using Fog Computing And Reinforcement Learning For Operational Performance And Dynamic Resource Management	International Journal of Intelligent Engineering and Systems, 18, 5 (2025)
38310	0.865	Herrera J.L.; Galán-Jiménez J.; Bellavista P.; Foschini L.; Garcia-Alonso J.; Murillo J.M.; Berrocal J.	Multi-Objective Optimal Deployment Of Sdn-Fog Infrastructures And Iot Applications	IEEE International Conference on Communications, 2023-May (2023)
4086	0.864	Choudhury S.; Luhach A.K.; Rodrigues J.J.P.C.; AL-Numay M.; Ghosh U.; Sinha Roy D.	A Residual Resource Fitness-Based Genetic Algorithm For A Fog-Level Virtual Machine Placement For Green Smart City Services	Sustainability (Switzerland), 15, 11 (2023)
31984	0.863	Kamarudin I.E.; Ameedeen M.A.; Razak M.F.A.; Zabidi A.	Integrating Edge Computing And Software Defined Networking In Internet Of Things: A Systematic Review	Iraqi Journal for Computer Science and Mathematics, 4, 4 (2023)
2802	0.86	Liu Z.R.	A Multi-Joint Optimisation Method For Distributed Edge Computing Resources In Iot-Based Smart Cities	Journal of Grid Computing, 21, 4 (2023)