This paper presents the generic concept of using cloud-based intelligent car parking services in smart cities as an important application of the Internet of Things (IoT) paradigm. This type of services will become an integral part of a generic IoT operational platform for smart cities due to its pure business-oriented features. A high-level view of the proposed middleware is outlined and the corresponding operational platform is illustrated. To demonstrate the provision of car parking services, based on the proposed middleware, a cloud-based intelligent car parking system for use within a university campus is described along with details of its design, implementation, and operation. A number of software solutions, including Kafka/Storm/Hbase clusters, OSGi web applications with distributed NoSQL, a rule engine, and mobile applications, are proposed to provide ‘best’ car parking service experience to mobile users, following the Always Best Connected and best Served (ABC&S) paradigm.

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In the Cluster of European Research Projects (CERP) report, the Internet of Things (IoT) is defined as an integrated part of the future Internet, which ensures that 'things' with identities can communicate with each other. IoT will be applied in different areas, e.g. smart cities, agriculture, energy, environment protection, health, home automation, etc. However, if different IoT applications are based on different architectures, this will prevent the IoT co-building, convergence, and openness. To reduce investments in the IoT area, a top-down architectural principles need to be followed to unify the design. This paper provides classification of the IoT platforms and proposes a top-level generic IoT architecture particularly suited for the creation of smart cities.

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