Abstract
Today, IoT applications are heavily dependent on public cloud computing services to perform data storage and analysis. Unfortunately, the cloud computing paradigm is unable to meet the requirements of critical applications that require low latency or enhanced privacy levels. The deployment of private cloud services on top of pervasive grids represent an interesting alternative to traditional cloud infrastructures, allowing the use of near-environment resources for IoT data analysis tasks. In this work we discuss the challenges associated with the deployment of IoT services over pervasive environments, and present a study case deployed over CloudFIT, a computing middleware for pervasive systems. Hence, we evaluate the behavior of a data-intensive application under volatility and heterogeneity constraints, bringing to light to the use of low-end devices that are usually located at the proximity to IoT sensors/actuators.
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Steffenel, L.A., Kirsch Pinheiro, M. (2016). When the Cloud Goes Pervasive: Approaches for IoT PaaS on a Mobiquitous World. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-47063-4_36
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DOI: https://doi.org/10.1007/978-3-319-47063-4_36
Publisher Name: Springer, Cham
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