FERARI
Flexible Event pRocessing for big dAta aRchItectures
| Coordinatore | FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V
Organization address
address: Schloss Birlinghoven 27C contact info |
| Nazionalità Coordinatore | Germany [DE] |
| Totale costo | 4˙294˙308 € |
| EC contributo | 2˙954˙000 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2013-11 |
| Funding Scheme | CP |
| Anno di inizio | 2014 |
| Periodo (anno-mese-giorno) | 2014-02-01 - 2017-01-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V
Organization address
address: Schloss Birlinghoven 27C contact info |
DE (Sankt Augustin) | coordinator | 0.00 |
| 2 |
HRVATSKI TELEKOM
Organization address
address: SAVSKA CESTA 32 contact info |
HR (ZAGREB) | participant | 0.00 |
| 3 |
IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD
Organization address
address: 94 DERECH EM-HAMOSHAVOT contact info |
IL (PETACH TIKVA) | participant | 0.00 |
| 4 |
POSLOVNA INTELIGENCIJA DOO ZA DIZAJN I IMPLEMENTACIJU INTELIGENTNIH INFORMACIJSKIH SUSTAVA
Organization address
address: STUBICKA 50 B contact info |
HR (ZAGREB) | participant | 0.00 |
| 5 |
TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
Organization address
address: SENATE BUILDING TECHNION CITY contact info |
IL (HAIFA) | participant | 0.00 |
| 6 |
THE RESEARCH COMMITTEE OF THE TECHNICAL UNIVERSITY OF CRETE
Organization address
address: AGIOU MARKOU STR. contact info |
EL (CHANIA) | participant | 0.00 |
| 7 |
UNIVERSITY OF HAIFA
Organization address
address: ABBA KHUSHY BLVD MOUNT CARMEL contact info |
IL (HAIFA) | participant | 0.00 |
Mappa
Word cloud
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
Obiettivo del progetto (Objective)
Many of today's Big Data technologies were built on the tacit assumption of web-based systems processing human generated-data at Facebook or Google. Such data is typically unstructured and predominantly persistent. As a result, the focus to date has been on batch processing of Big Data stored in distributed file systems. However data volumes generated from Machine-to-Machine interactions (M2M) surpass by far the amount of data generated by humans. Example applications include smart energy grids, car-to-car communications, mobile network monitoring, and automated negotiation systems – all identified as important hot use cases for Big Data.As Big Data finds its way to these critical M2M based business areas, these design decisions need to be fundamentally rethought. M2M data streams must be processed in real-time, are predominantly transient and naturally distributed, and are much more structured in nature. Current Big Data technologies are inadequate for handling massive M2M data streams, lacking the smartness and flexibility to allow non-expert users to set up complex analytics tasks, as well as the speed and scalability to support real-time, planetary-scale services over distributed data sources.The goal of the FERARI project is to address these limitations and to pave the way for efficient, real-time Big Data technologies of the future. It will enable business users to express complex analytics tasks through a high-level declarative language that supports distributed Complex Event Processing and sophisticated machine learning operators as an integral part of the system architecture. Effective, real-time execution at scale will be achieved by making the sensor layer a first-class citizen in distributed streaming architectures and leveraging in-situ data processing as a first (and, in the long run, the only realistic) choice for realizing planetary-scale Big Data systems. The system is tested on massive real-world data sets from the telecommunication domain.