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Cloud-Based Big Data Analysis Tools and Techniques Towards Sustainable Smart City Services

Cloud-Based Big Data Analysis Tools and Techniques Towards Sustainable Smart City Services
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Author(s): Suresh P. (Kongu Engineering College, India), Keerthika P. (Kongu Engineering College, India), Sathiyamoorthi V. (Sona College of Technology, India), Logeswaran K. (Kongu Engineering College, India), Manjula Devi R. (Kongu Engineering College, India), Sentamilselvan K. (Kongu Engineering College, India), Sangeetha M. (Kongu Engineering College, India) and Sagana C. (Kongu Engineering College, India)
Copyright: 2021
Pages: 28
Source title: Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities
Source Author(s)/Editor(s): Ismail Butun (Chalmers University of Technology, Sweden & Konya Food and Agriculture University, Turkey & Royal University of Technology, Sweden)
DOI: 10.4018/978-1-7998-7468-3.ch004

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Abstract

Cloud computing and big data analytics are the key parts of smart city development that can create reliable, secure, healthier, more informed communities while producing tremendous data to the public and private sectors. Since the various sectors of smart cities generate enormous amounts of streaming data from sensors and other devices, storing and analyzing this huge real-time data typically entail significant computing capacity. Most smart city solutions use a combination of core technologies such as computing, storage, databases, data warehouses, and advanced technologies such as analytics on big data, real-time streaming data, artificial intelligence, machine learning, and the internet of things (IoT). This chapter presents a theoretical and experimental perspective on the smart city services such as smart healthcare, water management, education, transportation and traffic management, and smart grid that are offered using big data management and cloud-based analytics services.

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