| Title | Hadoop Oriented Smart Cities Architecture |
|---|---|
| ID_Doc | 44338 |
| Authors | Diaconita, V; Bologa, AR; Bologa, R |
| Title | Hadoop Oriented Smart Cities Architecture |
| Year | 2018 |
| Published | Sensors, 18, 4 |
| Abstract | A smart city implies a consistent use of technology for the benefit of the community. As the city develops over time, components and subsystems such as smart grids, smart water management, smart traffic and transportation systems, smart waste management systems, smart security systems, or e-governance are added. These components ingest and generate a multitude of structured, semi-structured or unstructured data that may be processed using a variety of algorithms in batches, micro batches or in real-time. The ICT architecture must be able to handle the increased storage and processing needs. When vertical scaling is no longer a viable solution, Hadoop can offer efficient linear horizontal scaling, solving storage, processing, and data analyses problems in many ways. This enables architects and developers to choose a stack according to their needs and skill-levels. In this paper, we propose a Hadoop-based architectural stack that can provide the ICT backbone for efficiently managing a smart city. On the one hand, Hadoop, together with Spark and the plethora of NoSQL databases and accompanying Apache projects, is a mature ecosystem. This is one of the reasons why it is an attractive option for a Smart City architecture. On the other hand, it is also very dynamic; things can change very quickly, and many new frameworks, products and options continue to emerge as others decline. To construct an optimized, modern architecture, we discuss and compare various products and engines based on a process that takes into consideration how the products perform and scale, as well as the reusability of the code, innovations, features, and support and interest in online communities. |
| https://www.mdpi.com/1424-8220/18/4/1181/pdf?version=1525348261 |
Similar Articles
| ID | Score | Article |
|---|---|---|
43979
|
Babar, M; Arif, F; Jan, MA; Tan, ZY; Khan, F Urban data management system: Towards Big Data analytics for Internet of Things based smart urban environment using customized Hadoop(2019) | |
| 45592
|
Yamamoto, S; Matsumoto, S; Nakamura, M Using Cloud Technologies for Large-Scale House Data in Smart City(2012) | |
| 38909
|
Souza, A; Cacho, N; Batista, T; Ranjan, R SAPPARCHI: an Osmotic Platform to Execute Scalable Applications on Smart City Environments(2022) | |
| 45218
|
Shwe, HY; Jet, TK; Chong, PHJ An IoT-Oriented Data Storage Framework in Smart City Applications(2016) | |
| 44492
|
Raptis, TP; Cicconetti, C; Falelakis, M; Kalogiannis, G; Kanellos, T; Lobo, TP Engineering Resource-Efficient Data Management for Smart Cities with Apache Kafka(2023)Future Internet, 15, 2 | |
| 38538
|
Silva, BN; Khan, M; Han, K Big Data Analytics Embedded Smart City Architecture for Performance Enhancement through Real-Time Data Processing and Decision-Making(2017) | |
| 40433
|
Rathore, MM; Ahmad, A; Paul, A; Rho, S Urban planning and building smart cities based on the Internet of Things using Big Data analytics(2016) | |
| 37942
|
Takahashi, K; Yamamoto, S; Okushi, A; Matsumoto, S; Nakamura, M Design and Implementation of Service API for Large-Scale House Log in Smart City Cloud(2012) | |
| 40439
|
Gomes, EHA; Dantas, MAR; de Macedo, DDJ; De Rolt, CR; Dias, J; Foschini, L An infrastructure model for smart cities based on big data(2018)International Journal Of Grid And Utility Computing, 9, 4 | |
| 45637
|
Amovic, M; Govedarica, M; Radulovic, A; Jankovic, I Big Data in Smart City: Management Challenges(2021)Applied Sciences-Basel, 11, 10 |