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    An architecture for designing Future Internet (FI) applications in sensitive domains: expressing the software to data paradigm by utilizing hybrid cloud technology

    Sotiriadis, Stelios and Petrakis, E.G.M. and Covaci, S. and Zampognaro, P. and Georga, E. and Thuemmler, C. (2013) An architecture for designing Future Internet (FI) applications in sensitive domains: expressing the software to data paradigm by utilizing hybrid cloud technology. In: UNSPECIFIED (ed.) 13th IEEE International Conference on BioInformatics and BioEngineering. IEEE. ISBN 9781479931637.

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    Abstract

    The emergency of cloud computing and Generic Enablers (GEs) as the building blocks of Future Internet (FI) applications highlights new requirements in the area of cloud services. Though, due to the current restrictions of various certification standards related with privacy and safety of health related data, the utilization of cloud computing in such area has been in many instances unlawful. Here, we focus on demonstrating a “software to data” provisioning solution to propose a mapping of FI application use case requirements to software specifications (using GEs). The aim is to establish a provider to consumer cloud setting wherein no sensitive data will be exchanged but it will reside at the back-end site. We propose a prototype architecture that covers the cloud management layer and the operational features that manage data and Internet of Things devices. To show a real life scenario, we present the use case of the diabetes care and a FI application that includes various GEs.

    Metadata

    Item Type: Book Section
    Keyword(s) / Subject(s): Internet of Things, cloud computing, data privacy, formal specification, medical computing, FI application, Future Internet design, GEs, Internet of Things devices, certification standards, cloud computing, cloud management layer, cloud services, data management, data paradigm, diabetes care, generic enablers, health related data privacy, health related data safety, hybrid cloud technology, sensitive domains, software specifications, software to data provisioning solution, Cloud computing, Computer architecture, Diabetes, Personnel, Sensors, Unified modeling language
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centres and Institutes: Birkbeck Knowledge Lab
    Depositing User: Stelios Sotiriadis
    Date Deposited: 01 Oct 2018 10:16
    Last Modified: 23 Feb 2021 18:48
    URI: https://eprints.bbk.ac.uk/id/eprint/21821

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