JUNIPER
Java platform for high-performance and real-time large scale data management
| Coordinatore | X/OPEN COMPANY LIMITED
Organization address
address: Avenue du Parc de Woluwe 56 contact info |
| Nazionalità Coordinatore | United Kingdom [UK] |
| Totale costo | 4˙600˙945 € |
| EC contributo | 3˙306˙000 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2011-8 |
| Funding Scheme | CP |
| Anno di inizio | 2012 |
| Periodo (anno-mese-giorno) | 2012-12-01 - 2015-11-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
X/OPEN COMPANY LIMITED
Organization address
address: Avenue du Parc de Woluwe 56 contact info |
UK (Brussels) | coordinator | 0.00 |
| 2 |
AICAS GMBH
Organization address
address: HAID-UND-NEU-STRASSE 18 contact info |
DE (KARLSRUHE) | participant | 0.00 |
| 3 |
HMI HUMAN MACHINE INTELLIGENCE GMBH
Organization address
address: BREITSPIEL 11 contact info |
DE (HEIDELBERG) | participant | 0.00 |
| 4 |
PETAFUEL GMBH
Organization address
address: Muenchnerstrasse 4 contact info |
DE (FREISING) | participant | 0.00 |
| 5 |
SCUOLA SUPERIORE DI STUDI UNIVERSITARI E DI PERFEZIONAMENTO SANT'ANNA
Organization address
address: PIAZZA MARTIRI DELLA LIBERTA 33 contact info |
IT (PISA) | participant | 0.00 |
| 6 |
SOFTEAM
Organization address
address: Avenue Victor Hugo 21 contact info |
FR (PARIS) | participant | 0.00 |
| 7 |
UNIVERSITAET STUTTGART
Organization address
address: KEPLERSTRASSE 7 contact info |
DE (STUTTGART) | participant | 0.00 |
| 8 |
UNIVERSITY OF YORK
Organization address
address: HESLINGTON HALL contact info |
UK (YORK) | participant | 0.00 |
| 9 |
VYSOKE UCENI TECHNICKE V BRNE
Organization address
address: ANTONINSKA 548/1 contact info |
CZ (BRNO) | participant | 0.00 |
Mappa
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Obiettivo del progetto (Objective)
The efficient and real-time exploitation of large streaming data sources and stored data poses many questions regarding the underlying platform, including:1) Performance - how can the potential performance of the platform be exploited effectively by arbitrary applications;2) Guarantees - how can the platform support guarantees regarding processing streaming data sources and accessing stored data; and3) Scalability - how can scalable platforms and applications be built.
The fundamental challenge addressed by the project is to enable application development using an industrial strength programming language that enables the necessary performance and performance guarantees required for real-time exploitation of large streaming data sources and stored data.
The project's vision is to create a Java Platform that can support a range of high-performance Intelligent Information Management application domains that seek real-time processing of streaming data, or real-time access to stored data. This will be achieved by developing Java and UML modelling technologies to provide:1) Architectural Patterns - using predefined libraries and annotation technology to extend Java with new directives for exploiting streaming I/O and parallelism on high performance platforms;2) Virtual Machine Extensions - using class libraries to extend the JVM for scalable platforms;3) Java Acceleration - performance optimisation is achieved using Java JIT to Hardware (FPGA), especially to enable real-time processing of fast streaming data;4) Performance Guarantees - will be provided for common application real-time requirements; and5) Modelling - of persistence and real-time within UML / MARTE to enable effective development, code generation and capture of real-time system properties.
The project will use financial and web streaming case studies from industrial partners to provide industrial data and data volumes, and to evaluate the developed technologies.