Smart City Gnosys

Smart city article details

Title	Optimizing Task Allocation For Edge Micro-Clusters In Smart Cities
ID_Doc	40897
Authors	Alhaizaey Y.; Singer J.; Michala A.L.
Year	2021
Published	Proceedings - 2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2021
DOI	http://dx.doi.org/10.1109/WoWMoM51794.2021.00062
Abstract	Current urban technology trends like Internet-of-Things and 5G require ultra low latency compute resource to be distributed liberally at the network edge. We characterize and advocate the need for heterogeneous edge micro-clusters; these are pragmatic, low-power, low-cost, minimal footprint units that can provide sufficient resource for typical edge compute applications in smart cities. However, to make best use of heterogeneous edge micro-clusters, we require resource management techniques that are both efficient and effective. In this paper, we report on an empirical study to demonstrate that mathematical optimization (in particular, mixed integer programming) for resource management is appropriate in terms of overhead, also highly effective for executing batch-arrival workloads in smart city use cases. © 2021 IEEE.
Author Keywords	Edge Cluster; Edge Computing; Internet of Things; Resource Management; Task Allocation

Similar Articles

Id	Similarity	Authors	Title	Published
27955	0.904	Chen Y.; Ding Y.; Hu Z.-Z.; Ren Z.	Geometrized Task Scheduling And Adaptive Resource Allocation For Large-Scale Edge Computing In Smart Cities	IEEE Internet of Things Journal (2025)
45588	0.903	Wang Y.; Wang D.; Lin G.; Zheng B.; Luo L.; Li S.	Research On Resource Scheduling And Optimization Strategies Of Edge Computing-Based 5G Networks In Smart City Applications	2023 4th International Symposium on Computer Engineering and Intelligent Communications, ISCEIC 2023 (2023)
2802	0.901	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)
21768	0.897	Rajagopal S.; Tripathi P.K.; Deshmukh M.; Choudari S.; Kumar A.; Long C.S.	Edge Computing- Smart Cities: Optimizing Data Processing & Resource Management In Urban Environments	Journal of Information Systems Engineering and Management, 10 (2025)
20630	0.897	Mahmood O.A.; Abdellah A.R.; Muthanna A.; Koucheryavy A.	Distributed Edge Computing For Resource Allocation In Smart Cities Based On The Iot	Information (Switzerland), 13, 7 (2022)
37381	0.891	Huang H.; Zhan W.; Min G.; Duan Z.; Peng K.	Mobility-Aware Computation Offloading With Load Balancing In Smart City Networks Using Mec Federation	IEEE Transactions on Mobile Computing, 23, 11 (2024)
23409	0.89	Zhao, BH; Peng, K; Zhu, FY; Xue, SJ	Energy- And Reliability-Aware Computation Offloading With Security Constraints In Mec-Enabled Smart Cities	CLOUD COMPUTING, CLOUDCOMP 2021, 430 (2022)
40867	0.89	Neto A.R.; Silva T.P.; Batista T.V.; Lopes F.; Delicato F.C.; Pires P.F.	Optimizing Resource Allocation In Edge-Distributed Stream Processing	International Conference on Web Information Systems and Technologies, WEBIST - Proceedings, 2021-October (2021)
46113	0.888	Vali A.A.; Azizi S.; Shojafar M.	Resp: A Recursive Clustering Approach For Edge Server Placement In Mobile Edge Computing	ACM Transactions on Internet Technology, 24, 3 (2024)
20661	0.885	Beraldi R.; Canali C.; Lancellotti R.; Mattia G.P.	Distributed Load Balancing For Heterogeneous Fog Computing Infrastructures In Smart Cities	Pervasive and Mobile Computing, 67 (2020)