Smart City Gnosys

Smart city article details

Title Reliability-Aware Flow Distribution Algorithm In Sdn-Enabled Fog Computing For Smart Cities
ID_Doc 44967
Authors Ibrar M.; Wang L.; Shah N.; Rottenstreich O.; Muntean G.-M.; Akbar A.
Year 2023
Published IEEE Transactions on Vehicular Technology, 72, 1
DOI http://dx.doi.org/10.1109/TVT.2022.3202195
Abstract In order to improve the performance of the communication infrastructure in smart cities, integration of two emerging technologies, namely Fog Computing (FC) and Software-Defined Networking (SDN), has been proposed and is gaining momentum. The resulting SDN-based FC integrated architecture is expected to meet the Internet-of-Things (IoT) applications' requirements, especially in terms of easy manageability, high scalability, increased reliability, and low latency. Existing traffic engineering approaches proposed for SDN-based FC for IoT compute the route between an IoT device and fog server subject to some Quality of Service (QoS) constraints. However, these approaches ignore the link reliability level in the route computation process. Unlike them, this paper proposes a Reliability-Aware Flow Distribution Algorithm (RAFDA) and two associated optimization algorithms called Reactive Reliability-Aware Heuristic Algorithms (RRAHA-1 and RRAHA-2), which distribute the flows on the links based on the links' reliability levels, subject to additional constraints like traffic load on the link, bandwidth allocation, link utilization, and end-to-end delay. The proposed algorithms minimize the impact of link failure occurrences on the ongoing time-critical flows (applications/services) of smart cities. The proposed algorithms, evaluated using both real network traces and simulations, outperform existing approaches in terms of performance for delay-sensitive services in smart cities. © 1967-2012 IEEE.
Author Keywords Fog computing; IoT; link failure; reliability; SDN; smart cities


Similar Articles


Id Similarity Authors Title Published
6059 View0.862Manzoor S.; Ratyal N.I.; Mohamed H.G.Achieving Qos In Smart Cities Using Software Defined Wi-Fi NetworksIEEE Access, 11 (2023)
26706 View0.861Mocelin Júnior N.J.; Fiorese A.Flowpri-Sdn: A Framework For Bandwidth Management For Prioritary Data Flows Applied To A Smart City ScenarioLecture Notes in Networks and Systems, 661 LNNS (2023)
7990 View0.857Choudhury S.; Pradhan B.; Francis S.A.J.; Roy D.S.An Energy Efficient Fog Level Resource Management Scheme For Software Defined CitiesSustainable Energy Technologies and Assessments, 57 (2023)
23738 View0.856Jabbar 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 ManagementInternational Journal of Intelligent Engineering and Systems, 18, 5 (2025)
38310 View0.855Herrera 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 ApplicationsIEEE International Conference on Communications, 2023-May (2023)
22252 View0.854Vijouyeh L.N.; Sabaei M.; Santos J.; Wauters T.; Volckaert B.; De Turck F.Efficient Application Deployment In Fog-Enabled Infrastructures16th International Conference on Network and Service Management, CNSM 2020, 2nd International Workshop on Analytics for Service and Application Management, AnServApp 2020 and 1st International Workshop on the Future Evolution of Internet Protocols, IPFuture 2020 (2020)
52157 View0.854Kamarudin I.E.; Ameedeen M.A.; Razak M.F.A.; Zabidi A.Software Defined Internet Of Things In Smart City: A ReviewIndonesian Journal of Electrical Engineering and Computer Science, 32, 2 (2023)
52194 View0.85Hakiri A.; Gokhale A.; Berthou P.Software-Defined Wireless Mesh Networking For Reliable And Real-Time Smart City Cyber Physical ApplicationsACM International Conference Proceeding Series (2019)