Forschungs- & Entwicklungsinformationsdienst der Gemeinschaft - CORDIS

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STREAM

Project reference: 216181
Funded under

Scalable Autonomic Streaming Middleware for Real-time Processing of Massive Data Flows

From 2008-02-01 to 2011-04-30

Project details

Total cost:

EUR 3 956 379

EU contribution:

EUR 2 609 597

Coordinated in:

Spain

Call for proposal:

FP7-ICT-2007-1See other projects for this call

Funding scheme:

CP - Collaborative project (generic)

Want to process all credit card transactions in Europe in real time? No luck, today's computers cannot do it. Unless, of course, you use technology from STREAM project.

A growing number of applications require the ability to analyze massive amounts of streaming data in real time. A few examples: stock market data processing, anti-spam and anti-virus filters for e-mail, network security systems for incoming IP traffic in organisation-wide networks, automatic trading, fraud detection for cellular telephony to analyze and correlate phone calls, fraud detection for credit cards, and e-services for verifying the respect of service level agreements.

Typically, such applications require strong analysis and processing capabilities, i.e., data mining, to discover facts of interest.

Data analysis happens today on clusters of workstations using specialized middleware and applications.


Although solutions for real-time processing of information flows already exist, current platforms and infrastructures face three main limitations:

(a) scalability: the number of processing nodes is upwards limited 

(b) autonomy: support from IT experts is needed to keep the system working over the time

(c) performance: some problems cannot be managed, because the raw amount of data to be processed is too large.


STREAM aims at scaling system size by an order of magnitude, to 100s of nodes, achieving real-time processing of information flows, and providing unsupervised and autonomous operation. This will allow for much broader deployment of such products and services to new areas that need to manipulate large information flows in a cost-effective manner, and in particular, the Telecom, Financial, and E-services sectors.

Objective

A growing number of applications require the ability to analyze massive amounts of streaming data in real time. Examples of such applications are: market data processing, anti-spam and anti-virus filters for e-mail, network security systems for incoming IP traffic in organisation-wide networks, automatic trading, fraud detection for cellular telephony to analyze and correlate phone calls, fraud detection for credit cards, and e-services for verifying SLAs. Typically, such applications require strong analysis and processing capabilities, i.e., data mining, to discover facts of interest. Data analysis happens today on clusters of workstations using specialized middleware and applications. Although solutions for real-time processing of information flows already exist, current platforms and infrastructures phase three main limitations: (a) scalability, (b) autonomy, and (c) performance. STREAM aims at scaling system size by an order of magnitude, to 100s of nodes, achieving real-time processing of information flows, and providing unsupervised and autonomous operation. This will allow for much broader deployment of such products and services to new areas that need to manipulate large information flows in a cost-effective manner, and in particular, the Telecom, Financial, and E-services sectors.

Related information

Open Access

Multimedia

Coordinator contact

Ricardo Jimenez-Peris, (Facultad de Informatica (UPM))
Tel.: tel: +34 91 336 74 52
Fax: fax: +34 91 336 74 12
E-mail
Ricardo Jimenez-Peris, (Facultad de Informatica (UPM))
Tel.: tel: +34 91 336 74 52
Fax: fax: +34 91 336 74 12
E-mail

Coordinator

UNIVERSIDAD POLITECNICA DE MADRID
Spain

EU contribution: EUR 494 365


CALLE RAMIRO DE MAEZTU 7
28040 MADRID
Spain
Administrative contact: Gonzalo Leon
Tel.: +34 913363639
Fax: +34 913365974
E-mail

Participants

TECHNISCHE UNIVERSITAET DRESDEN
Germany

EU contribution: EUR 399 300


HELMHOLTZSTRASSE
01069 DRESDEN
Germany
Administrative contact: Christin Jung
Tel.: +49 35146339629
Fax: +49 35146339742
E-mail
TELEFONICA INVESTIGACION Y DESARROLLO SA
Spain

EU contribution: EUR 398 009


CALLE EMILIO VARGAS
28043 MADRID
Spain
Administrative contact: Luis López de Ayala Hidalgo
Tel.: +34 914832642
E-mail
TELEFONICA SOLUCIONES DE INFORMATICA Y COMUNICACIONES DE ESPANA SA
Participation ended
Spain

EU contribution: EUR 10 042


RONDA DE LA COMUNICACION S/N EDIFICIO NORTE 2
28050 MADRID
Spain
Administrative contact: Francisco Javier Enríquez de Salamanca Müller
Tel.: +34913128186
Fax: +34914837595
E-mail
EXODUS A.E.
Greece

EU contribution: EUR 415 159


ODOS FARANTATON 6-10
11527 ATHINA
Greece
Administrative contact: Anastasia Garbi
Tel.: +30 210 7450300
Fax: +30 210 7450399
E-mail
FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS
Greece

EU contribution: EUR 485 002


N PLASTIRA STR
70013 HERAKLION
Greece
Administrative contact: Zinovia Papatheodorou
Tel.: +30 2810 391522
Fax: +30 2810 391555
E-mail
EPSILON S.R.L.
Italy

EU contribution: EUR 407 720


VIA FRANCESCO FRACANZANO
80127 NAPOLI
Italy
Administrative contact: Danilo De Mari
Tel.: +393395305145
Fax: +3906233299848
E-mail
Record Number: 85324 / Last updated on: 2016-04-01