|Auer, Jonas: Distributed data store for internet of things environments. |
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik, Bachelorarbeit (2017).
62 Seiten, englisch.
|CR-Klassif.||H.3.4 (Information Storage and Retrieval Systems and Software)|
The Internet of Things (IOT) is a rapidly uprising technology. It is gaining importance in smart factories, often referred to as Industry 4.0. Given the amount of data that is collected in these environments, storing and analysing the accumulated data is a major concern. The aim of this thesis is to develop and evaluate a concept for a distributed data store, in which data is first collected at the edge of the Network, on premise, and then sent on to a central data store where observations spanning multiple edge deployments can be made. The final concept proposes the use of a database, a stream processing framework for reacting to messages as they arrive at the servers and a message queueing system to act as a common interface for the other components on both the data centre and the on premise deployments. The edge and central servers are connected through a service subscribing to selected edge queues and publishing their content on the central data store. An example deployment was implemented and proved to be capable of processing 10.000 messages per second with a mean latency of less than 4ms for the on premise deployment and 67ms for the central data store.
|PDF (418573 Bytes)|
|Abteilung(en)||Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware|
|Betreuer||Mitschang, Prof. Bernhard; Wieland, Dr. Matthias|
|Eingabedatum||27. September 2018|