Design and Implementation of Smart City Big Data Processing Platform Using Big Data Analytics for Decision Management System

Abstract

Interest in Smart Cities (SCs) and Big Data Analytics (BDA)
has increased in recent years, revealing the bond between the two fields.
An SC is characterized as a complex system of systems involving various
stakeholders, from planners to citizens. Within the context of SCs, BDA
offers potential as a data-driven decision-making enabler. Although there
are abundant articles in the literature addressing BDA as a decisionmaking enabler in SCs, mainstream research addressing BDA and SCs
focuses on either the technical aspects or smartening specific SC domains.
A small fraction of these articles addresses the proposition of developing
domain-independent BDA frameworks. 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. For the problem about the low shared
efficiency and the poor integrating degree of the massive multivariate
data, in this analysis, they described design scheme based architecture.
And the real-time analysis system of real-time data and statistical analysis
system of offline data are developed. Finally, the test results show the
performance of Big Data processing platform. By analyzing authenticated
datasets, they obtained the values required for city operation management.
Throughput and processing time analysis performed with regard to
existing works guarantee the performance superiority of the described
work.