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This article focuses on defining the integrated platform for managing information in smart cities. We look into the smart city platforms that are increasingly used in today’s cities all around the world. Smart city platforms can be deployed on private, public or hybrid clouds, remote servers or onsite. By definition, a smart city platform integrates many different functional areas of the smart city in a single environment. The Smart city platform offers integrated functionality to coordinate intelligent city data, applications, solutions and services at one or more operational levels between multiple stakeholders with integrated functionality. By monitoring and analysing the use of urban assets, the government can distribute them to improve operational efficiency. The platform provides middleware and operational functionality across multiple software and hardware, integrates multiple communication protocols, and provides latent and free solutions for smart cities. Managing the huge amounts of data generated by IoT-based sensors and systems is a main challenge facing end users and providers. We show that smart city platforms serve to standardize data and information across many silo systems. It is demonstrated that they provide a common mechanism for visualizing and managing data to optimize the entire urban operation.

This paper is centred around the development of a smart city information system. Smart cities use the framework of information and communications technologies to create, deploy and promote practices that address urban challenges and create, connect and enable sustainable infrastructure. This definition focuses on network deployment, transport, ICT investment, human and social capital to support sustainable community goals and quality of life by involving users of certain technologies and community-based applications in social participation. In this paper, we show that a multi-disciplinary approach is needed to address these issues, combining expertise from distributed systems, software and services engineering, network and data management and processing, crowdsourcing, sensor and update methods, social computing, as well as the collective intelligence.