Smart City Gnosys
Smart city article details
| Title | Data Flow Management And Visual Analytic For Big Data Smart City/Iot |
|---|---|
| ID_Doc | 17216 |
| Authors | Bellini P.; Bugli F.; Nesi P.; Pantaleo G.; Paolucci M.; Zaza I. |
| Year | 2019 |
| Published | Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 |
| DOI | http://dx.doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00276 |
| Abstract | In recent years, the number of Internet of Things and Internet of Everything (IOT/IOE) paradigms has increased significantly. The large number of devices contributed to generate a huge amount of data (Big Data) inserted in Smart City solutions, which are experiencing an explosion of complexity, also due to the increment of protocols, formats and providers. In this perspective it becomes essential to create a data indexing infrastructure that can optimize the performance of the system itself, for creating the so called data shadowing on IOT and other data on cloud. Therefore, it is fundamental to study paradigms to manage the indexing and visual analytics a great variety of data including IOT/IOE. One of the important aspects to be addressed for managing data in the smart city context are: the uniform model, the performance and scalability, response times in research, and the possibilities of performing visual analytic such as data flow analysis and drill down. All these needs imply the creation of a Smart Solution capable of managing and analysing heterogeneous kinds of data, providing a multitude of final applications based on the type of user who requires a certain service. To this end, in this paper, a unified model for IOT/IOE and data ingestion is presented. In addition, two possible architectural solutions have been implemented and compared in terms of performance, resource consumption, reliability and visual analytic tools for data flow. The solutions proposed for data indexing and shadowing have been tested in the context of Snap4City pilot Helsinki and Antwerp for smart city of EC project Select4Cities. © 2019 IEEE. |
| Author Keywords | Big Data indexing; Big Data Infrastructure; IOT data shadow; IoT/IoE; Smart City |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
5278  | 0.877 | Sasaki Y. | A Survey On Iot Big Data Analytic Systems: Current And Future | IEEE Internet of Things Journal, 9, 2 (2022) |
| 50314 | 0.876 | Soni P. | Smart City Innovations And Iot As A Frontier Of Ai At The Edge Of Intelligence | Edge of Intelligence: Exploring the Frontiers of AI at the Edge (2025) |
| 13791 | 0.875 | Alsaig, A; Alagar, V; Chammaa, Z; Shiri, N | Characterization And Efficient Management Of Big Data In Iot-Driven Smart City Development | SENSORS, 19, 11 (2019) |
| 30379 | 0.875 | Lakshmi D.; Jeyarani J.; Suguna R.; Muneeshwari P.; Valantina G.M.; Jayaraman S. | Impact Of Iot Data Integration On Real-Time Analytics For Smart City Management | Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024 (2024) |
| 55978 | 0.874 | Bibri S.E. | The Iot And Big Data Analytics For Smart Sustainable Cities: Enabling Technologies And Practical Applications | Advances in Science, Technology and Innovation (2020) |
| 4297 | 0.874 | Kasubi J.W.; D.h M.; Demewez G.D. | A Review On The Internet Of Things And Big Data Analytics Based On Smart Cities | Proceedings - International Conference on Artificial Intelligence and Smart Systems, ICAIS 2021 (2021) |
| 8418 | 0.872 | Chilipirea, C; Petre, AC; Groza, LM; Dobre, C; Pop, F | An Integrated Architecture For Future Studies In Data Processing For Smart Cities | MICROPROCESSORS AND MICROSYSTEMS, 52 (2017) |
| 17379 | 0.871 | Protopsaltis A.; Sarigiannidis P.; Margounakis D.; Lytos A. | Data Visualization In Internet Of Things: Tools, Methodologies, And Challenges | ACM International Conference Proceeding Series (2020) |
| 59006 | 0.871 | Farmanbar, M; Rong, CM | Triangulum City Dashboard: An Interactive Data Analytic Platform For Visualizing Smart City Performance | PROCESSES, 8, 2 (2020) |
| 47019 | 0.868 | Al-Ali A.R.; Gupta R.; Zualkernan I.; Das S.K. | Role Of Iot Technologies In Big Data Management Systems: A Review And Smart Grid Case Study | Pervasive and Mobile Computing, 100 (2024) |