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Title	Cloud Internet Of Things Framework For Enabling Services In Smart Cities
ID_Doc	14422
Authors	Kelaidonis D.; Vlacheas P.; Stavroulaki V.; Georgoulas S.; Moessner K.; Hashi Y.; Hashimoto K.; Miyake Y.; Yamada K.; Demestichas P.
Year	2016
Published	Designing, Developing, and Facilitating Smart Cities: Urban Design to IoT Solutions
DOI	http://dx.doi.org/10.1007/978-3-319-44924-1_9
Abstract	In the future internet era, the Internet of Things (IoT) has consolidated its presence in the smart cities with a variety of innovative IoT platforms for the provisioning of relevant services. The provisioning of such services requires ubiquity, reliability, high-performance, efficiency, scalability. In order to accomplish this popular trend is to merge IoT and Cloud concepts by combining multi-Cloud IoT architectures. The introduction of cognition was the first step for the IoT success, as it brought essential self-management and awareness capabilities combined with knowledge-generation functionality. The Cloud-IoT architectural vision is paving the way to the next/vital step for the IoT success and for new business value propositions for the IoT world leveraging cloud principles. Towards this direction, in this effort, a set of challenges have been identified, with a set of different research initiatives that aim to address them. A promising architecture for enabling Cloud-IoT services in smart cities is presented together with a case study that reveals the high potential that Cloud-IoT can achieve in the context of smart cities. The work concludes with the lessons learnt through the study and the elaboration of the Cloud-IoT concepts. © Springer International Publishing Switzerland 2017.
Author Keywords	Cloud internet of things (Cloud-IoT); Cloud-IoT service migration; Cloud-IoT services management; Cognitive management; Device of virtualization; Federated cloud computing infrastructures; Knowledge data; Multi-Cloud platforms; Semantic data models; Semantic storage systems

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