This document summarizes a student's research on smart city management models based on cloud computing. The student discusses how cloud computing delivers computing services over the internet to offer faster innovation and flexible resources for smart cities. Examples of smart cities that utilize these models are provided. The document then outlines key components of smart city management models like cloud infrastructure, security, IoT integration, and citizen engagement. It evaluates the initial results of these models and discusses advantages and limitations. Potential applications and directions for future research are also presented before concluding that ongoing innovation is crucial to realizing the full benefits of smart city management based on cloud computing.
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Smart city.pptx
1. Rajgad Dnyanpeeth Technical Campus
Shri Chhatrapati Shivajiraje Colleage Of Engineering
Departement Of Computer Engineering
Year 2022-23
Sem I
Research on smart City management model based on cloud
computing
Roll No: TCO21F020
Name: Gajbhiye Sahil Hansraj
Guide Name: Prof.S.B.Shirke
2. INTRODUCTION
• Cloud Computing is the delivery of Computing Services including servers, storage,
databases, networking, software, analytics, and intelligence over the internet to
offer faster innovation, flexible resources.
• A smart city uses technology to enhance performance, well-being, reduce costs, and
resource consumption.
• Examples: Singapore, Barcelona, Amsterdam
• Cloud computing provides on-demand access to a shared pool of computing
resources (e.g., servers, storage, databases) over the internet.Components of Smart
City Management
3. 1.Cloud Infrastructure: Utilize leading cloud platforms for scalability and
reliability.
2.Security & Privacy: Ensure robust security measures and data privacy
compliance.
2.IoT Integration: Seamlessly integrate IoT devices with cloud solutions.
3.Citizen Engagement: Empower residents through cloud-based participation
platforms.
4.Cost-Benefit Analysis: Evaluate economic viability for long-term sustainability.
5.Interoperability: Foster compatibility among diverse smart city components.
6.Case Studies: Showcase real-world implementations and outcomes1
IMPLMENTATION
5. LITERATURE REVIEW
Title Year Author Conclusion
Blockchain based
IOT and Industrial
IOT
2021 S.K.Dwivedi,P.Roy,
S.Agrawal,C.Karda
Blockchain security
requirement develop IOT
and Industrial IOT.
Sensing device response
automatically without the
need for human contact.
Blockchain for
5G- enabled IOT
Network
2019 Y.Han, B.Park,
J.Jeong
A technology that captures
real time air pollution
readings from industrial
locations using IOT sensor
based on 5G wireless
network.
6. INITIAL EVALUATION RESULT
• Data Collection: Smart cities gather data from various sources, such as sensors, IoT
devices, and citizens' input. Cloud computing enables the storage and processing of
vast amounts of data
• .Data Analysis: Cloud-based analytics platforms help process and analyze the
collected data to gain insights into traffic patterns, energy consumption,
environmental conditions, and other crucial factors.
• Decision Support Systems: Smart cities use cloud-based decision support systems
to make informed decisions regarding resource allocation, emergency response, and
urban planning.
• IoT Integration: Internet of Things (IoT) devices play a significant role in smart city
models. Cloud computing facilitates the integration and management of these
devices.
10. SMART CITY INFRASTRUCTURE
• Smart city based on cloud computing is actually an intelligent service system that
relies on network technology and information technology to optimize resource
allocation, improve government efficiency, and improve the living experience of
urban residents.
• The content of smart city involves all aspects of the city and can provide convenient
and efficient services for individuals and groups living in the city. Smart city
mainly include: smart industry, smart management, and smart people's livelihood,
as shown in Figure.
• In this structure, subsystems are connected and shared through the cloud computing
platform, and work together on the overall system of the smart city.
11. APPLICATION
Smart city management
models based on cloud
computing applications
are an evolving area of
research and innovation.
These models leverage
cloud computing
technologies to enhance
the efficiency,
sustainability, and quality
of life in urban areas.
Here's an overview of key
research areas and
considerations in this field
12. FUTURE WORK
• Research on smart city management models based on cloud computing is an
evolving field, and there are several areas for future work and research that can
further advance the development and effectiveness of smart cities. Here are some
potential directions for future research:
• Edge Computing Integration
• 5G and Network Infrastructure
• Blockchain for Security
• AI and Machine Learning
• Data Privacy and Ethics
• Interoperability Standards
• Future research in these areas can contribute to the continued growth and
improvement of smart city management models based on cloud computing,
ultimately leading to more efficient, sustainable, and livable urban
environments.
13. SUMMARY AND CONCLUSION
• In conclusion, research on smart city management models based on cloud
computing has made significant strides in transforming urban environments,
making them more efficient, sustainable, and responsive to the needs of citizens.
• Smart Cities are the future of urban development Cloud-based models offer
tremendous potential Ongoing research and innovation are crucial.
• The integration of cloud computing into smart city management models has
revolutionized urban living, offering greater efficiency, sustainability, and citizen
engagement.
• As technology continues to evolve, ongoing research and innovation are essential to
unlock the full potential of smart cities and address the complex challenges of
urbanization in the 21st century