Deduplication Analyses of Multimedia System Images


Tim Süß, Tunahan Kaya, Markus Mäsker, and André Brinkmann, Johannes Gutenberg University Mainz


The availability and usage of embedded systems increases permanently and the industry drives the IoT to become more and more relevant in daily life. Factory lines, planes and cars, traffic lights, or even clothes are equipped with sensors and small computers constantly communicating with the outside world. One challenge in maintaining those devices is updating their software. Due to slow connections or only because of the huge amount of devices data transfers can be problematic. Data compression algorithms can be applied to reduce the amount of data that must be transferred. A data reduction technique that provides high efficiency, but which has not been considered so far for embedded systems is data deduplication. In this work we present the results of a long term study for updating a car multimedia system. The results show that deduplication can achieve significantly better results than commonly used data compression techniques.

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@inproceedings {216779,
author = {Tim S{\"u}{\ss} and Tunahan Kaya and Markus M{\"a}sker and Andre Brinkmann},
title = {Deduplication Analyses of Multimedia System Images},
booktitle = {USENIX Workshop on Hot Topics in Edge Computing (HotEdge 18)},
year = {2018},
address = {Boston, MA},
url = {},
publisher = {USENIX Association},
month = jul,