Abstract
In the last decade, governments, municipalities, and industries have invested large amounts of funds on research on smart cities with the main goal of developing services to improve people’s quality of life. Many proposals focus on a Cloud-centric network architecture in which all the data collected from amyriad of sensors devices is transferred to the Cloud for processing. However, this approach presents significant limitations when faced with the formidable traffic generated by the Internet of Things and with the need for low-latency services. The deployment of IoT devices in compact groups, connected to the smart city network infrastructure by relatively powerful “gateways”, opens the possibility to depart from the centralized architectures and move the computation closer to the data sources. To this end, this paper proposes SPF, a new middleware solution that supports IoT application and service development, deployment, and management. SPF runs IoT services on capable devices located at the edge of the network and proposes a programming model that enables to take advantage of decentralized computation resources in a seamless fashion. SPF also leverages an information dissemination solution designed for constrained network environments and adopts Value-of-Information based methods to prioritize transmission of essential information.
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References
Khatoun, R., Zeadally, S.: Smart cities: concepts, architectures, research opportunities. Commun. ACM 59(8), 46–57 (2016)
Fu, Y., Jia, S., Hao, J.: A scalable cloud for Internet of Things in smart cities. J. Future Trends Comput. 26(3), 63–75 (2015)
Alamri, A., Ansari, W.S., Hassan, M.M., Hossain, M.S., Alelaiwi, A., Hossain, M.A.: A survey on sensor-cloud: architecture, applications, and approaches. Int. J. Distrib. Sens. Netw. 9(2), 917–923 (2013)
Huawei Technologies Co., Ltd.: Huawei Smart City Solution. White paper. http://enterprise.huawei.com/ilink/cnenterprise/download/HW_315743
CISCO: Cisco Global Cloud Index: Forecast and Methodology, 2014–2019 White Paper, April 2016. http://www.cisco.com/c/en/us/solutions/collateral/service-provider/global-cloud-index-gci/Cloud_Index_White_Paper.pdf
Biggs, P., Garrity, J., LaSalle, C., Polomska, A., Pepper, R.: Harnessing the Internet of Things for global development. In: 8th Annual Conference on Information and Communication Technologies for Development (ICT4D) (2016). http://www.itu.int/en/action/broadband/Documents/Harnessing-IoT-Global-Development.pdf
Zaslavsky, A.B., Perera, C., Georgakopoulos, D.: Sensing as a service and big data. In: Proceedings of the International Conference on Advances in Cloud Computing (ACC), July 2012
Dastjerdi, A.V., Buyya, R.: Fog computing: helping the Internet of Things realize its potential. Computer 49(8), 112–116 (2016)
Tortonesi, M., Michaelis, J., Morelli, A., Suri, N., Baker, M.A.: SPF: an SDN-based middleware solution to mitigate the IoT information explosion. In: IEEE Symposium on Computers and Communication (ISCC 2016), pp. 435–442 (2016)
Benincasa, G., Morelli, A., Stefanelli, C., Suri, N., Tortonesi, M.: Agile communication middleware for next-generation mobile heterogeneous networks. IEEE Softw. 31(2), 54–61 (2014). ISSN 0740-7459
Orsino, A., Araniti, G., Militano, L., Alonso-Zarate, J., Molinaro, A., Iera, A.: Energy efficient IoT data collection in smart cities exploiting D2D communications. Sensors 16(6), 836 (2016)
Morelli, A., Stefanelli, C., Suri, N., Tortonesi, M.: Mobility pattern prediction to support opportunistic networking in smart cities. In: 6th International ICST Conference on MOBILe Wireless MiddleWARE (MOBILWARE 2013), November 2013
Barnaghi, P., Wang, W., Henson, C., Taylor, K.: Semantics for the Internet of Things: early progress and back to the future. Int. J. Semant. Web Inf. Syst. (IJSWIS) 8(1), 1–21 (2012)
Chun, S., Seo, S., Oh, B., Lee, K.: Semantic description, discovery and integration for the Internet of Things. In: 2015 IEEE International Conference on Semantic Computing (ICSC), pp. 272–275 (2015)
Kiljander, J., D’elia, A., Morandi, F., Hyttinen, P., Takalo-Mattila, J., Ylisaukko-Oja, A., Soininen, J., Cinotti, T.S.: Semantic interoperability architecture for pervasive computing and Internet of Things. IEEE Access 2, 856–873 (2014)
Perera, C., Zaslavsky, A., Christen, P., Compton, M., Georgakopoulos, D.: Context-aware sensor search, selection and ranking model for Internet of Things middleware. In: IEEE 14th International Conference on Mobile Data Management, vol. 1, pp. 314–322 (2013)
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Govoni, M., Michaelis, J., Morelli, A., Suri, N., Tortonesi, M. (2017). Enabling Social- and Location-Aware IoT Applications in Smart Cities. In: Gaggi, O., Manzoni, P., Palazzi, C., Bujari, A., Marquez-Barja, J. (eds) Smart Objects and Technologies for Social Good. GOODTECHS 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 195. Springer, Cham. https://doi.org/10.1007/978-3-319-61949-1_32
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DOI: https://doi.org/10.1007/978-3-319-61949-1_32
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