%0 Conference Proceedings
%A Stach, Christoph & Mitschang, Bernhard
%D 2019
%T ECHOES: A Fail-safe, Conflict Handling, and Scalable Data Management Mechanism for the Internet of Things
%E Welzer, Tatjana; Eder, Johann; Podgorelec, Vili & Kami\v{s}ali\'{c} Latifi\'{c}, Aida
%B Proceedings of the 23rd European Conference on Advances in Databases and Information Systems (ADBIS 2019)
%C Bled
%I Springer
%V 11695
%P 373-389
%S LNCS
%8 September
%@ 978-3-030-28729-0
%3 inproceedings
%F adbis_19_echoes
%K IoT; data exchange; synchronization protocol
%X The Internet of Things (IoT) and Smart Services are becoming increasingly popular. Such services adapt to a user's needs by using sensors to detect the current situation. Yet, an IoT service has to capture its required data by itself, even if another service has already captured it before. There is no data exchange mechanism adapted to the IoT which enables sharing of sensor data among services and across devices. Therefore, we introduce a data management mechanism for the IoT. Due to its applied state-based synchronization protocol called ECHOES. It is fail-safe in case of connection failures, it detects and handles data conflicts, it is geared towards devices with limited resources, and it is highly scalable. We embed ECHOES into a data provisioning infrastructure, namely the Privacy Management Platform and the Secure Data Container. Evaluation results verify the practicability of our approach.
%R 10.1007/978-3-030-28730-6_23