Smart City Gnosys

Smart city article details

Title Cloud-Based Modeling In Iot Domain: A Survey, Open Challenges And Opportunities
ID_Doc 14466
Authors Ihirwe F.; Indamutsa A.; Ruscio D.D.; Mazzini S.; Pierantonio A.
Year 2021
Published Companion Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021
DOI http://dx.doi.org/10.1109/MODELS-C53483.2021.00018
Abstract The current evolution of cloud-based computing opens up a lot of possibilities for software development. In the near future, complex systems in various domains such as Space, Automotive, Internet of Things, and Smart Cities, will be designed, developed, and deployed from cloud-based environments, hence lowering production and maintenance costs. However, in the IoT domain, parts of the system have to run on Edge, Fog, or Cloud, posing significant difficulties in determining what, where, and when to develop. Therefore, this paper conducted a thorough review to investigate where the IoT domain community stands concerning the current trend of moving traditional modeling infrastructures to the cloud. Following an examination of 625 articles, we focus on 22 different cloud-based IoT system development approaches. Moreover, we highlight various opportunities and challenges related to the adoption of cloud-based modeling tools and platforms in the IoT domain. © 2021 IEEE.
Author Keywords cloud-based modeling; Internet of Things; low-code; Model-driven engineering


Similar Articles


Id Similarity Authors Title Published
13107 View0.882Krishnappa M.S.; Jayabalan D.; Harve B.M.; Jayaram V.; Bidkar D.M.; Veerapaneni P.K.; Gejjegondanahalli V.Y.Building The Future Of Iot: Cloud Platforms, Integration Challenges, And Emerging Applications2024 International Conference on Computer and Applications, ICCA 2024 (2024)
5344 View0.881Kohan S.; Johnstone L.; Cetinkaya D.A Survey On The Model-Centered Approaches To Conceptual Modeling Of Iot SystemsFrontiers in Computer Science, 5 (2023)
9504 View0.877Pflanzner T.; Kertesz A.Analyzing Iot, Fog And Cloud Environments Using Real Sensor DataFog Computing: Concepts, Frameworks and Technologies (2018)
47333 View0.876Rajput D.S.; Lalotra G.S.; Kumar V.; Kumar P.; Patel H.Scalable Modeling And Efficient Management Of Iot ApplicationsScalable Modeling and Efficient Management of IoT Applications (2024)
39123 View0.873Chahar S.; Kaswan K.S.; Aggarwal A.; Dhatterwal J.S.New Era Of Iot With Cloud Computing: A Review Of Technology, Issues And Challenges2024 2nd International Conference on Advancements and Key Challenges in Green Energy and Computing, AKGEC 2024 (2024)
4282 View0.872Idrissi M.E.; Elbeqqali O.; Riffi J.A Review On Relationship Between Iot- Cloud Computing - Fog Computing (Applications And Challenges)2019 3rd International Conference on Intelligent Computing in Data Sciences, ICDS 2019 (2019)
30629 View0.872Asha A.; Rajeshkumar L.; Pandi V.S.; Shobana D.; Lakshmi Priya J.; Dayanidhy M.Implementing Cloud Computing With Internet Of Things (Iot) Technologies: Novel Approaches To Data Management And Service Delivery Innovation2024 Global Conference on Communications and Information Technologies, GCCIT 2024 (2024)
16180 View0.868Nair A.V.; Nachappa M.N.; Singh V.Coordinated Fog-To-Cloud System Managing2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023 (2023)
32182 View0.866Kuchuk H.; Malokhvii E.Integration Of Iot With Cloud, Fog, And Edge Computing: A ReviewAdvanced Information Systems, 8, 2 (2024)
55549 View0.864Alli A.A.; Alam M.M.The Fog Cloud Of Things: A Survey On Concepts, Architecture, Standards, Tools, And ApplicationsInternet of Things (Netherlands), 9 (2020)