۱- Introduction

۲- Related work

۳- Proposed architecture

۴- Results: Two citizen-oriented case studies

۵- Conclusions and future work

References

Abstract

Today’s society must prioritize the design and development of platforms for Big Data processing. Smart cities generate large volumes of valuable data which the government can use to manage cities more intelligently. Aware of the value of data, many researchers have proposed architectures for optimized data collection and use. This paper proposes a novel approach that enables smart cities to reuse the functionalities of old applications by adapting them to new architectures. To be able to process large amounts of data and solve a variety of problems, smart city platforms need extra computing power. Two case studies have been conducted to verify the performance of the proposed platform. Those case studies have demonstrated that the development process of a smart platform can be simplified by implementing functionalities and components taken from earlier platforms.

Introduction

Smart cities promote a sustainable lifestyle. Infrastructure, innovation and technology are the components that make smart cities efficient and self-sufficient. Examples of sustainability measures include the use of photovoltaic panels to provide electricity to buildings, street signs or electric vehicles. In addition, wind turbines are used to power street lights and the use of bicycles is encouraged as a means of moving around the city etc. The degree of sustainability of smart cities is measured according to a series of parameters, including: public management, social cohesion, governance, technology, urban planning, environment, mobility and transport, international projection, human capital and economy. Smart cities have got a huge variety of applications to monitor and control each of those parameters [1]. However, one of the barriers to efficiency is that different companies use different smart city applications to offer services to citizens. This can cause communication problems and can therefore hinder efficiency. Moreover, demand for new services is continuous in smart cities, so companies that wish to provide new services must make new developments instead of reusing and customizing the old ones.