Service-Oriented Architecture for Big Data Analytics in Smart Cities
DOI:
https://doi.org/10.3991/jfse.v2i4.59259Keywords:
Smart Cities, Service-Oriented Architecture (SOA), Big Data Analytics (BDA), Internet of Things (IoT), Real-time ProcessingAbstract
The rapid urbanization and the increased development of the Internet of Things (IoT) technologies have produced the unprecedented amounts of heterogeneous data in smart cities. The paper suggests a scalable and modular service-oriented architecture (SOA) that is combined with the big data analytics (BDA) to improve the decision-making process, resource management, and citizen services within the smart urban settings. The system integrates both real-time stream and batch-based processing model, which is interoperable, secure, and reliable through simple object access protocol (SOAP)-based services. The main elements are the tendency to analyze the requirements with the stakeholders, the layered systems design, and intelligent data management. Benchmark dataset experimental analysis of mobility, energy, and urban indices shows numerous (35, 40, 25, and 91) times lower latency, throughput, resource usage, and data integration accuracy than traditional monolith models. The paper brings to the fore the potential of SOA when it comes to solving the smart city problem of data heterogeneity, scalability, and real-time responsiveness. Future studies will investigate the combination of AI, edge computing, and blockchain to optimize the architecture further in terms of various urban areas.
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Copyright (c) 2025 Shanza Ifthikhar, Bushra Hamid, Sidra Tahir, Kashif Mehmood, Ahthasham Sajid, Sabitha Banu

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