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Evaluation of Architectural Backbone Technologies for WINNER DataLab A Project Focused Point of View

Authors:
Sebastian Apel
Florian Hertrampf
Steffen Späthe

Keywords: System Architecture; Stream Processing; Message Routing; Complex Event Processing; Renewable Energy; Smart Grid

Abstract:
The WINNER DataLab aims to collect, evaluate and forecast load data used to optimise the first-hand consumption of locally generated energy within buildings, by rentee, as well as electric vehicles. Every actor within a residential area has to be considered, and integration into a centralised data stream process is necessary. As a non-hard real-time system, the WINNER DataLab has to solve enterprise application integration problems, looking at complex event processing and knowledge discovery in data. This paper targets to analyse possible architectural backbone technologies. Out of a wide range of potential technologies Node-Red, WSO2 CEP and Apache Camel are selected and compared. Those technologies with a diverse field of application are used to implement a comparable test setup. Furthermore, they are analysed through their characteristics of processing, execution, usability and simplicity. As measured, Node-RED, Apache Camel and WSO2 indicate stable and fast message processing, especially in the case of raising message throughput. Node-RED surprises with constant memory and CPU loads and seams to be exciting option in rapid prototyping.

Pages: 35 to 43

Copyright: Copyright (c) IARIA, 2017

Publication date: June 25, 2017

Published in: conference

ISSN: 2308-3727

ISBN: 978-1-61208-565-4

Location: Venice, Italy

Dates: from June 25, 2017 to June 29, 2017