Data Analytics in Smart City

DATA ANALYTICS IN SMART CITY
Data Analytics in smart city
Name of the Student
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DATA ANALYTICS IN SMART CITY
Table of Contents
Article Review...........................................................................................................................2
Introduction................................................................................................................................2
Critical analysis for quantitative studies....................................................................................2
Introduction to the problem....................................................................................................2
Research Procedure....................................................................................................................3
Discussion..................................................................................................................................3
Method Specific Criteria for Qualitative studies.......................................................................5
Conclusion..................................................................................................................................5
Reference....................................................................................................................................7

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DATA ANALYTICS IN SMART CITY
Article Review
He, Ying, F. Richard Yu, Nan Zhao, Victor CM Leung, and Hongxi Yin. "Software-
defined networks with mobile edge computing and caching for smart cities: A big data
deep reinforcement learning approach." IEEE Communications Magazine 55, no. 12
(2017): 31-37.
Introduction
This resource has been chosen from the IEEE communications magazine published in
the year 2017. The IEEE magazines are very much reliable in nature. The prime
determination of this document is to focus on the consequences of the big data analytics in
smart cities1. The software defined networks with mobile edge computing and caching are
clearly presented in this paper. This resource provides in-depth knowledge about the current
and past problems of data analytics used in the smart cities. The information present in the
resource are mostly from the primary sources and is highly logical and unbiased.
Critical analysis for quantitative studies
Introduction to the problem
The desired outcomes of the enabling technologies are not obtained even after several
years of incorporation in the smart cities. This resource will propose an integrated framework
which will be helpful to optimize the computing resources so that better performances can be
achieved in the smart cities. This paper will be helpful to answer the following questions.
o How to improve the performance of big data analytics in smart cities?
o What is the effectiveness of the proposed framework?
1 He, Ying, F. Richard Yu, Nan Zhao, Victor CM Leung, and Hongxi Yin. "Software-defined networks with
mobile edge computing and caching for smart cities: A big data deep reinforcement learning approach." IEEE
Communications Magazine 55, no. 12 (2017): 31-37.