Smart City Gnosys

Smart city article details

Title Edge-Ai In Iot: Leveraging Cloud Computing And Big Data For Intelligent Decision-Making
ID_Doc 21815
Authors Murthy V.S.N.; Kumari R.; Goyal M.; Dubey P.; Meenakshi; Manikandan S.; Ramesh P.
Year 2025
Published Journal of Information Systems Engineering and Management, 10
DOI http://dx.doi.org/10.52783/jisem.v10i20s.3194
Abstract The extremely rapid increase in the number of these IoT devices has led to an unprecedented creation of data that requires intelligent and efficient mechanisms for decision-making. Today, Edge Artificial Intelligence (Edge-AI) is transforming the world with real-time data-processing capabilities, minimizing latency, optimizing bandwidth, and establishing separation for security. The integration of Edge-AI, cloud computing, and big data technology is studied in this research to optimize intelligent decision-making in IoT ecosystems. Using the distributed nature of edge computing, we present an Edge-Cloud AI framework which dynamically assigns computation workloads onto the edge nodes and centralized cloud infrastructures. The experimental results together with the validation through real IoT scenarios show that the proposed methods outstand in terms of response time, energy consumption and predictiveness. This approach strikes a proper balance between inference at the edge in real time and training of the models and big data analytics at the cloud; thus allowing adoption in intelligent solutions leading to adaptive, context aware intelligence. Innovative Elements include a new decision-making model based on federated learning, distributed pre-processing of data, and mechanisms for maintaining the confidentiality of data. These results highlight the capabilities of Edge-AI in improving the scalability and reliability of IoT applications in different domains such as smart cities, healthcare, and industrial automation. This work lays the groundwork for the next step in autonomous IoT, connecting edge intelligence with cloud-based learning analytics. © 2024 by Author/s and Licensed by JISEM.
Author Keywords cloud; computing; decision; distributed; edge; energy; optimize


Similar Articles


Id Similarity Authors Title Published
27178 View0.938Prerna; Sharma S.From Data To Decisions: Cloud, Iot, And Ai IntegrationIntegration of Cloud Computing and IoT: Trends, Case Studies and Applications (2024)
27257 View0.924Ficili I.; Giacobbe M.; Tricomi G.; Puliafito A.From Sensors To Data Intelligence: Leveraging Iot, Cloud, And Edge Computing With AiSensors, 25, 6 (2025)
21762 View0.918Chandrasekaran S.; Athinarayanan S.; Masthan M.; Kakkar A.; Bhatnagar P.; Samad A.Edge Computing Revolution: Unleashing Artificial Intelligence Potential In The World Of Edge IntelligenceEdge of Intelligence: Exploring the Frontiers of AI at the Edge (2025)
33904 View0.915Kilaru M.; Maheswari P.; Boddepalli E.; Venkataramana K.; Patel J.D.; Sharma M.K.Iot Services And Intelligence: Empowering The Internet Of Things With Real-Time Data Analytics And Decision-MakingTQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 (2024)
55982 View0.912Hasan M.M.; Sultana T.; Hossain M.D.; Mandal A.K.; Ngo T.-T.; Lee G.-W.; Huh E.-N.The Journey To Cloud As A Continuum: Opportunities, Challenges, And Research DirectionsICT Express (2025)
14842 View0.91Grzesik P.; Mrozek D.Combining Machine Learning And Edge Computing: Opportunities, Challenges, Platforms, Frameworks, And Use CasesElectronics (Switzerland), 13, 3 (2024)
22927 View0.905Nizam M.K.; Goyal S.B.; Verma C.; Illés Z.Empowering Smart Cities With Edge Computing-Based Iot Systems: A Focus On Data Analytics And Machine Learning TechniquesLecture Notes in Electrical Engineering, 1194 (2024)
44385 View0.905Guarda T.; Torres W.Real-Time Iot With Edge Computing: Efficiency, Security, And Future TrendsLecture Notes in Computer Science, 15889 LNCS (2026)
30629 View0.898Asha 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)
21768 View0.898Rajagopal S.; Tripathi P.K.; Deshmukh M.; Choudari S.; Kumar A.; Long C.S.Edge Computing- Smart Cities: Optimizing Data Processing & Resource Management In Urban EnvironmentsJournal of Information Systems Engineering and Management, 10 (2025)