Smart City Gnosys
Smart city article details
| Title | Real-Time Stream Processing In Iot Environments |
|---|---|
| ID_Doc | 44454 |
| Authors | Rajasekar P.; Bhosale R.S.; Indhumathi C.; Sandeep K.V.; Prasanthi Kumari N.; Rajendiran M. |
| Year | 2024 |
| Published | Proceedings of 9th International Conference on Science, Technology, Engineering and Mathematics: The Role of Emerging Technologies in Digital Transformation, ICONSTEM 2024 |
| DOI | http://dx.doi.org/10.1109/ICONSTEM60960.2024.10568668 |
| Abstract | New IoT devices generate massive real-time data. Fast, real-time stream processing is needed for IoT data insight extraction. There are pros and downsides to real-time stream processing for the Internet of Things (IoT). This article analyzes present methods and technologies. The inquiry begins with large-scale, real-time IoT data analysis. Real-time analytics and bulk processing limits are important for IoT decision-making. We then investigate IoT stream processing frameworks, methodologies, and systems' complexity. We explore Internet of Things technology selection and tradeoffs between scalability, accuracy, latency, and real-time processing system scalability. It covers real-time stream processing system design and deployment and risk mitigation. Case studies and use cases highlight real-time IoT stream processing. Healthcare, smart city, and industrial IoT operational efficiency and proactive decision-making improve with real-time data. Finally, the report suggests the Internet of Things real-time stream processing research. New IoT data analytics protocols, methods, and technologies are highlighted. We teach real-time stream processing to IoT academics, practitioners, and decision-makers. They could then develop more efficient and scalable IoT data stream optimization solutions. © 2024 IEEE. |
| Author Keywords | Data Ingestion; Distributed Computing; Edge Computing; IoT (Internet of Things); Real-time Stream Processing; Security and Privacy |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
33770  | 0.912 | Patidar S.; Kumar N.; Jindal R. | Iot Data Stream Handling, Analysis, Communication And Security Issues: A Systematic Survey | Wireless Personal Communications (2024) |
| 26761 | 0.903 | Okay F.Y.; Kok I.; Guzel M.; Ozdemir S. | Fog Computing-Based Complex Event Processing For Internet Of Things | Big Data-Enabled Internet of Things (2020) |
| 24778 | 0.899 | Nasiri, H; Nasehi, S; Goudarzi, M | Evaluation Of Distributed Stream Processing Frameworks For Iot Applications In Smart Cities | JOURNAL OF BIG DATA, 6, 1 (2019) |
| 5278 | 0.895 | Sasaki Y. | A Survey On Iot Big Data Analytic Systems: Current And Future | IEEE Internet of Things Journal, 9, 2 (2022) |
| 48281 | 0.867 | Bamgboye O.; Liu X.; Cruickshank P.; Liu Q. | Semantic-Driven Approach For Validation Of Iot Streaming Data In Trustable Smart City Decision-Making And Monitoring Systems | Big Data and Cognitive Computing, 9, 4 (2025) |
| 12160 | 0.865 | Shahverdi E.; Awad A.; Sakr S. | Big Stream Processing Systems: An Experimental Evaluation | Proceedings - 2019 IEEE 35th International Conference on Data Engineering Workshops, ICDEW 2019 (2019) |
| 4104 | 0.862 | Mishra S.; Hota C. | A Rest Framework On Iot Streams Using Apache Spark For Smart Cities | 2019 IEEE 16th India Council International Conference, INDICON 2019 - Symposium Proceedings (2019) |
| 12095 | 0.86 | Haider I.; Haider M.A.; Saeed A. | Big Data In Internet Of Things: Architecture And Open Research Challenges | Proceedings - 2020 23rd IEEE International Multi-Topic Conference, INMIC 2020 (2020) |
| 11995 | 0.858 | Pal P.K.; Awasthi C.; Sehgal I.; Mishra P.K. | Big Data Analytics And Big Data Processing For Iot-Based Sensing Devices | Transforming Management with AI, Big-Data, and IoT (2022) |
| 25760 | 0.856 | Gupta S.K.; Yadav S.K.; Soni S.K. | Exploring The Power Of Big Data For Iot: A Comprehensive Review | 2023 International Conference on IoT, Communication and Automation Technology, ICICAT 2023 (2023) |