TY  - CONF
AU  - Stach, Christoph
AU  - Mitschang, Bernhard
A2  - Welzer, Tatjana
A2  - Eder, Johann
A2  - Podgorelec, Vili
A2  - Kamišalić Latifić, Aida
T1  - ECHOES: A Fail-safe, Conflict Handling, and Scalable Data Management Mechanism for the Internet of Things
T2  - Proceedings of the 23ʳᵈ European Conference on Advances in Databases and Information Systems (ADBIS 2019)
PB  - Springer
AD  - Bled
Y1  - 2019/september
VL  - 11695
SP  - 373
EP  - 389
M3  - https://doi.org/10.1007/978-3-030-28730-6_23
KW  - IoT; data exchange; synchronization protocol
N2  - 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.
ER  -