Smart City Gnosys

Smart city article details

Title	Decision-Making Support To Auto-Scale Smart City Platform Infrastructures
ID_Doc	17731
Authors	Solino A.; Batista T.; Cavalcante E.
Year	2023
Published	Iberian Conference on Information Systems and Technologies, CISTI, 2023-June
DOI	http://dx.doi.org/10.23919/CISTI58278.2023.10212058
Abstract	Smart city platforms support application development and deployment and typically rely on a robust, scalable underlying Information Technology infrastructure composed of cloud platforms, containers, virtual machines, storage, and other services. Such a runtime infrastructure must deal with the highly dynamic workload of the different applications, with simultaneous access from multiple users and sometimes working with many interconnected devices and systems. This scenario requires auto-scaling mechanisms that automatically and timely add or remove cloud resources in response to dynamic variations in workload. This paper introduces a decision-making mechanism that analyzes the monitored state of a smart city platform and its underlying infrastructure at runtime to decide whether auto-scaling is needed. The performance of the decision-making mechanism has been evaluated upon the computational environment that supports a platform for developing real-world smart city applications. © 2023 ITMA.
Author Keywords	auto-scaling; autonomic computing; MAPE-K loop; Smart city

Similar Articles

Id	Similarity	Authors	Title	Published
18498	0.883	Del Esposte, AD; Santana, EFZ; Kanashiro, L; Costa, FM; Braghetto, KR; Lago, N; Kon, F	Design And Evaluation Of A Scalable Smart City Software Platform With Large-Scale Simulations	FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 93 (2019)
56515	0.863	Sarpal S.S.; Kumar V.M.; Pimplapure V.; Patil S.; Marathe V.; Henrietta H.M.	The Role Of Cloud Computing In Real-Time Big Data Analytics For Smart Cities And Infrastructure Automation	2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024 (2024)
38124	0.859	Dimolitsas I.; Spatharakis D.; Dechouniotis D.; Zafeiropoulos A.; Papavassiliou S.	Multi-Application Hierarchical Autoscaling For Kubernetes Edge Clusters	Proceedings - 2023 IEEE International Conference on Smart Computing, SMARTCOMP 2023 (2023)
32302	0.859	Raj P.; Raman A.C.	Intelligent Cities: Enabling Tools And Technology	Intelligent Cities: Enabling Tools and Technology (2015)
9987	0.856	Bhogayata A.; Thoriya A.; Vora T.; Meva D.	Application Of Smart Computing Systems For Smart Cities And Urban Infrastructure: Framework, Data Management, And Smart Monitoring Attributes	Communications in Computer and Information Science, 2428 CCIS (2025)
59884	0.856	Bouroche M.; Dusparic I.	Urban Computing: The Technological Framework For Smart Cities	Handbook of Smart Cities (2021)
21732	0.855	Trigka M.; Dritsas E.	Edge And Cloud Computing In Smart Cities	Future Internet, 17, 3 (2025)
5713	0.854	Bellini P.; Bologna D.; Nesi P.; Pantaleo G.	A Unified Knowledge Model For Managing Smart City/Iot Platform Entities For Multitenant Scenarios	Smart Cities, 7, 5 (2024)
3701	0.854	Okhovat E.; Bauer M.	A Policy-Based Autonomic Management System For Smart Cities Leveraging Off-The-Shelf Platforms	Lecture Notes in Networks and Systems, 1155 LNNS (2024)
20661	0.851	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)