Mastering Big Data using smart sensor technology – First software release from EU “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
Katrin Berkler
Head of PR at Fraunhofer IAIS
Phone +49 2241 14-2252
pr[at]iais.fraunhofer.de
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
Media Contact
All latest news from the category: Information Technology
Here you can find a summary of innovations in the fields of information and data processing and up-to-date developments on IT equipment and hardware.
This area covers topics such as IT services, IT architectures, IT management and telecommunications.
Newest articles
First-of-its-kind study uses remote sensing to monitor plastic debris in rivers and lakes
Remote sensing creates a cost-effective solution to monitoring plastic pollution. A first-of-its-kind study from researchers at the University of Minnesota Twin Cities shows how remote sensing can help monitor and…
Laser-based artificial neuron mimics nerve cell functions at lightning speed
With a processing speed a billion times faster than nature, chip-based laser neuron could help advance AI tasks such as pattern recognition and sequence prediction. Researchers have developed a laser-based…
Optimising the processing of plastic waste
Just one look in the yellow bin reveals a colourful jumble of different types of plastic. However, the purer and more uniform plastic waste is, the easier it is to…