TY - CHAP
T1 - Cloud Internet of Things Framework for Enabling Services in Smart Cities
AU - Kelaidonis, Dimitrios
AU - Vlacheas, Panagiotis
AU - Stavroulaki, Vera
AU - Georgoulas, Stylianos
AU - Moessner, Klaus
AU - Hashi, Yuichi
AU - Hashimoto, Kazuo
AU - Miyake, Yutaka
AU - Yamada, Keiji
AU - Demestichas, Panagiotis
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2017.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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.
AB - 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.
KW - Cloud internet of things (Cloud-IoT)
KW - Cloud-IoT service migration
KW - Cloud-IoT services management
KW - Cognitive management
KW - Device of virtualization
KW - Federated cloud computing infrastructures
KW - Knowledge data
KW - Multi-Cloud platforms
KW - Semantic data models
KW - Semantic storage systems
UR - http://www.scopus.com/inward/record.url?scp=85128581716&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85128581716&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-44924-1_9
DO - 10.1007/978-3-319-44924-1_9
M3 - Chapter
AN - SCOPUS:85128581716
SN - 9783319449227
SP - 163
EP - 191
BT - Designing, Developing, and Facilitating Smart Cities
PB - Springer International Publishing
ER -
