Managing data produced in the Internet of Things according to the traditional data-center based approach is becoming no longer appropriate. Devices are improving their computational power as the processors installed on them are more and more powerful and diverse. Moreover, devices cannot guarantee a continuous connection due their mobility and limitation of battery life. Goal of this paper is to tackle this issue focusing on data movement to eliminate the unnecessary storage, transfer and processing of datasets by concentrating only the data subsets that are relevant. A cross-layered framework is proposed to give to both applications and developers the abstracted ability to choose which aspect to optimize, based on their goals and requirements and to data providers an environment that facilitates data provisioning according to users’ needs.
CITATION STYLE
D’Andria, F., Field, D., Kopaneli, A., Kousiouris, G., Garcia-Perez, D., Pernici, B., & Plebani, P. (2015). Data movement in the internet of things domain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9306, pp. 243–252). Springer Verlag. https://doi.org/10.1007/978-3-319-24072-5_17
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