In this age of Industry 4.0 and the “Internet of Things” direct machine-to-machine communication (M2M) is taking on an increasingly important role. The result, however, is that data streams within industry are increasing in volume at such an alarming rate that they are posing a growing challenge to data processing systems. The first open source software designed to deal with the realtime analysis of massive data streams in distributed systems – with the specific aim of closing this gap – has now been released as part of the EU “Flexible Event Processing for Big Data Architectures” (FERARI) project.
“FERARI is intended to provide a general sense of relief to data processing systems. The individual sensors of the associated machines ultimately decide for themselves if they want to communicate the information they collect and which other components within the system they consider it relevant to”, comments Dr. Michael Mock, project manager at the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS.
“This means that the entire data stream is reduced to the bare essentials.” When combined with “Complex Event Processing” methods – i. e. the processing of complex interdependent events – it means that important correlations can now be found within multi-connected real-time data streams.
“During the development phase, in particular, we felt it was crucial to give users the option to familiarize themselves with the software as fast as possible”, emphasizes Mock. “For this and other reasons we decided to integrate the entire software configuration into a docker container.”
This means that users can get started immediately after the download without the need for any further installations. Supplementary video documentation shows how the initial applications can be developed with just a few steps and subsequently tested using the data sets supplied as examples. The idea behind the easy access is to advance the distribution of modern Big Data applications for science and economy as widely as possible.
A technological basis for the project was provided by partner IBM Haifa and their “IBM Proactive Technology Online (Proton)” tool which was specifically designed to process complex events.
“In order to be used in conjunction with FERARI, Proton needed to be equipped to process enormous data streams, therefore we decided to combine the software with the Storm Big Data system”, explains Dr. Fabiana Fournier, the IBM scientist responsible for the project. This allows “Proton on Storm” to run on several computers simultaneously which is an essential prerequisite to processing data volumes at the Big Data level.
In addition to the Fraunhofer IAIS and IBM Haifa Research Labs other contributors to the “FERARI” project include the Israel Institute of Technology (TECHNION), the Technical University of Crete, Croatian Telecom and the Croatian company Poslovna Inteligencija. The project receives a total of 36 months funding as part of EU's Seventh Framework Programme for Research (FP7).
Contact for more information
Head of PR at Fraunhofer IAIS
Phone +49 2241 14-2252
http://www.iais.fraunhofer.de/ferari-projekt.html Project Website Fraunhofer IAIS (german)
http://www.ferari-project.eu Website of FERARI project (english)
https://bitbucket.org/sbothe-iais/ferari Download Open Source Software
Katrin Berkler | Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Ultra-precise chip-scale sensor detects unprecedentedly small changes at the nanoscale
18.01.2017 | The Hebrew University of Jerusalem
Data analysis optimizes cyber-physical systems in telecommunications and building automation
18.01.2017 | Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
An important step towards a completely new experimental access to quantum physics has been made at University of Konstanz. The team of scientists headed by...
Yersiniae cause severe intestinal infections. Studies using Yersinia pseudotuberculosis as a model organism aim to elucidate the infection mechanisms of these...
Researchers from the University of Hamburg in Germany, in collaboration with colleagues from the University of Aarhus in Denmark, have synthesized a new superconducting material by growing a few layers of an antiferromagnetic transition-metal chalcogenide on a bismuth-based topological insulator, both being non-superconducting materials.
While superconductivity and magnetism are generally believed to be mutually exclusive, surprisingly, in this new material, superconducting correlations...
Laser-driving of semimetals allows creating novel quasiparticle states within condensed matter systems and switching between different states on ultrafast time scales
Studying properties of fundamental particles in condensed matter systems is a promising approach to quantum field theory. Quasiparticles offer the opportunity...
Among the general public, solar thermal energy is currently associated with dark blue, rectangular collectors on building roofs. Technologies are needed for aesthetically high quality architecture which offer the architect more room for manoeuvre when it comes to low- and plus-energy buildings. With the “ArKol” project, researchers at Fraunhofer ISE together with partners are currently developing two façade collectors for solar thermal energy generation, which permit a high degree of design flexibility: a strip collector for opaque façade sections and a solar thermal blind for transparent sections. The current state of the two developments will be presented at the BAU 2017 trade fair.
As part of the “ArKol – development of architecturally highly integrated façade collectors with heat pipes” project, Fraunhofer ISE together with its partners...
19.01.2017 | Event News
10.01.2017 | Event News
09.01.2017 | Event News
20.01.2017 | Awards Funding
20.01.2017 | Materials Sciences
20.01.2017 | Life Sciences