Smart City Gnosys

Smart city article details

Title An Extensive Analysis Of Task Scheduling Algorithms Based On Fog Computing Qos Metrics
ID_Doc 8191
Authors Vijayalakshmi V.; Saravanan M.
Year 2022
Published Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022
DOI http://dx.doi.org/10.1109/ICSES55317.2022.9914205
Abstract Fog computing is an approach used by Cloud service providers to provide better performance and quality of services to their customers. Fog computing is a technique that works seamlessly between the users and the Cloud service providers. It is used for various applications like Smart cities, smart grids, and healthcare. This kind of application can generate variable lengths of tasks at the user layer to the fog layer. These generated tasks need to be properly assigned to the suitable fog nodes because all types of tasks are relatively connected with QoS metrics like makespan, reliability, latency, energy consumption etc.,. Many authors proposed various scheduling algorithms for allotment of tasks to the right fog nodes. This paper focused on reviewing various authors' work related to scheduling of the various types of tasks with fog nodes based on the metrics. These metrics are compared and analyzed with other scheduling algorithms metrics. This comparison and evaluation of different metrics are used to identify the impact of one metric on another metric, so that researchers can focus on optimized metrics during the scheduling of various tasks with fog nodes. © 2022 IEEE.
Author Keywords Communication Cost; Fog computing; Makespan; Optimization; QoS; Task Scheduling


Similar Articles


Id Similarity Authors Title Published
46065 View0.885Jamil B.; Ijaz H.; Shojafar M.; Munir K.; Buyya R.Resource Allocation And Task Scheduling In Fog Computing And Internet Of Everything Environments: A Taxonomy, Review, And Future DirectionsACM Computing Surveys, 54, 11s (2022)
55710 View0.876Sohail F.; Haider H.; Ismat N.The Impact Of Fog Computing In The Iot World2023 Global Conference on Wireless and Optical Technologies, GCWOT 2023 (2023)
8855 View0.876Apat H.K.; Sahoo B.; Bhaisare K.; Maiti P.An Optimal Task Scheduling Towards Minimized Cost And Response Time In Fog Computing InfrastructureProceedings - 2019 International Conference on Information Technology, ICIT 2019 (2019)
26766 View0.872Abbas A.; Khan S.U.; Zomaya A.Y.Fog Computing: Theory And PracticeFog Computing: Theory and Practice (2020)
40600 View0.866Omer D.; Aburukba R.; Landolsi T.Optimization Model For Time Sensitive Iot Requests2019 3rd International Conference on Communications, Signal Processing, and their Applications, ICCSPA 2019 (2019)
26756 View0.866Da Silva T.P.; Batista T.; Lopes F.; Neto A.R.; Delicato F.C.; Pires P.F.; Da Rocha A.R.Fog Computing Platforms For Smart City Applications: A SurveyACM Transactions on Internet Technology, 22, 4 (2022)
40757 View0.865Jayasena K.P.N.; Thisarasinghe B.S.Optimized Task Scheduling On Fog Computing Environment Using Meta Heuristic AlgorithmsProceedings - 4th IEEE International Conference on Smart Cloud, SmartCloud 2019 and 3rd International Symposium on Reinforcement Learning, ISRL 2019 (2019)
58085 View0.864Nikam R.R.; Motwani D.Towards Decentralized Fog Computing: A Comprehensive Review Of Models, Architectures, And ServicesLecture Notes in Networks and Systems, 818 (2024)
40898 View0.863Negi V.; Joshi D.; Sharma A.Optimizing Task Allocation In Fog-Based Iot For Smart City SolutionsCitizen-Centric Artificial Intelligence for Smart Cities (2025)
3929 View0.862Apat H.K.; Sahoo B.; Mohanty S.A Quality Of Service(Qos) Aware Fog Computing Model For Intelligent (Iot) ApplicationsProceedings - 2021 19th OITS International Conference on Information Technology, OCIT 2021 (2021)