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Talks and Poster Presentations (with Proceedings-Entry):

S. Weninger, M. Borkowski:
"Data Prefetching in Smart Systems";
Talk: Demo Session of the 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC 2018), Stockholm, Sweden; 10-16-2018 - 10-19-2018; in: "Proceedings of the 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference Workshops (EDOCW 2018)", IEEE Computer Society, (2018), ISBN: 978-1-5386-4141-5; 204 - 207.



English abstract:
In smart system scenarios, such as the Internet of Things (IoT), managing data traffic remains a crucial challenge, with high data volumes and low data transmission rates significantly hindering user experience. In this light, a promising technique is data prefetching, which involves the fetching of data on specific devices before it is required by the user, in order to reduce the response time and improve the application's userperceived Quality of Experience (QoE). In this paper, we present an implementation of such data prefetching in an IoT scenario. We evaluate our solution using a real-world testbed consisting of Raspberry Pi computers and an Android smartphone. Our results show that data prefetching is a viable method for reducing response time in IoT scenarios, and subsequently, improving the user-perceived QoE.


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/EDOCW.2018.00037


Created from the Publication Database of the Vienna University of Technology.