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Urban Planning and Smart City Decision Management Empowered by Real-Time Data Processing Using Big Data Analytics
by
Jung, Changsu
, Han, Jihun
, Yoon, Yongtak
, Seo, Jihun
, Muhammad, Diyan
, Khan, Murad
, Silva, Bhagya Nathali
, Han, Kijun
in
Analytics
/ Architecture
/ Batch processing
/ Big Data
/ Big Data analytics
/ Big Data smart city
/ Big Data urban planning
/ Computer science
/ Data analysis
/ Data collection
/ Data management
/ Data processing
/ Datasets
/ Decision analysis
/ Filtration
/ Indoor air quality
/ Information technology
/ Internet of Things
/ Nitrogen dioxide
/ Normalizing
/ Performance measurement
/ Provisioning
/ Real time
/ Smart cities
/ smart city planning
/ Smart grid
/ Statistical methods
/ Systematic review
/ Urban planning
2018
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Urban Planning and Smart City Decision Management Empowered by Real-Time Data Processing Using Big Data Analytics
by
Jung, Changsu
, Han, Jihun
, Yoon, Yongtak
, Seo, Jihun
, Muhammad, Diyan
, Khan, Murad
, Silva, Bhagya Nathali
, Han, Kijun
in
Analytics
/ Architecture
/ Batch processing
/ Big Data
/ Big Data analytics
/ Big Data smart city
/ Big Data urban planning
/ Computer science
/ Data analysis
/ Data collection
/ Data management
/ Data processing
/ Datasets
/ Decision analysis
/ Filtration
/ Indoor air quality
/ Information technology
/ Internet of Things
/ Nitrogen dioxide
/ Normalizing
/ Performance measurement
/ Provisioning
/ Real time
/ Smart cities
/ smart city planning
/ Smart grid
/ Statistical methods
/ Systematic review
/ Urban planning
2018
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Do you wish to request the book?
Urban Planning and Smart City Decision Management Empowered by Real-Time Data Processing Using Big Data Analytics
by
Jung, Changsu
, Han, Jihun
, Yoon, Yongtak
, Seo, Jihun
, Muhammad, Diyan
, Khan, Murad
, Silva, Bhagya Nathali
, Han, Kijun
in
Analytics
/ Architecture
/ Batch processing
/ Big Data
/ Big Data analytics
/ Big Data smart city
/ Big Data urban planning
/ Computer science
/ Data analysis
/ Data collection
/ Data management
/ Data processing
/ Datasets
/ Decision analysis
/ Filtration
/ Indoor air quality
/ Information technology
/ Internet of Things
/ Nitrogen dioxide
/ Normalizing
/ Performance measurement
/ Provisioning
/ Real time
/ Smart cities
/ smart city planning
/ Smart grid
/ Statistical methods
/ Systematic review
/ Urban planning
2018
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Urban Planning and Smart City Decision Management Empowered by Real-Time Data Processing Using Big Data Analytics
Journal Article
Urban Planning and Smart City Decision Management Empowered by Real-Time Data Processing Using Big Data Analytics
2018
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Overview
The Internet of Things (IoT), inspired by the tremendous growth of connected heterogeneous devices, has pioneered the notion of smart city. Various components, i.e., smart transportation, smart community, smart healthcare, smart grid, etc. which are integrated within smart city architecture aims to enrich the quality of life (QoL) of urban citizens. However, real-time processing requirements and exponential data growth withhold smart city realization. Therefore, herein we propose a Big Data analytics (BDA)-embedded experimental architecture for smart cities. Two major aspects are served by the BDA-embedded smart city. Firstly, it facilitates exploitation of urban Big Data (UBD) in planning, designing, and maintaining smart cities. Secondly, it occupies BDA to manage and process voluminous UBD to enhance the quality of urban services. Three tiers of the proposed architecture are liable for data aggregation, real-time data management, and service provisioning. Moreover, offline and online data processing tasks are further expedited by integrating data normalizing and data filtering techniques to the proposed work. By analyzing authenticated datasets, we obtained the threshold values required for urban planning and city operation management. Performance metrics in terms of online and offline data processing for the proposed dual-node Hadoop cluster is obtained using aforementioned authentic datasets. Throughput and processing time analysis performed with regard to existing works guarantee the performance superiority of the proposed work. Hence, we can claim the applicability and reliability of implementing proposed BDA-embedded smart city architecture in the real world.
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