LeanBigData

Ultra-Scalable and Ultra-Efficient Integrated and Visual Big Data Analytics

 Coordinatore UNIVERSIDAD POLITECNICA DE MADRID 

 Organization address address: CALLE RAMIRO DE MAEZTU 7 EDIFICIO RECTORADO
city: MADRID

contact info
Titolo: Prof.
Nome: Roberto
Cognome: PRIETO
Email: send email
Telefono: 34913366048

 Nazionalità Coordinatore Spain [ES]
 Totale costo 6˙148˙197 €
 EC contributo 3˙905˙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

# participant  country  role  EC contrib. [€] 
1    UNIVERSIDAD POLITECNICA DE MADRID

 Organization address address: CALLE RAMIRO DE MAEZTU 7 EDIFICIO RECTORADO
city: MADRID

contact info
Titolo: Prof.
Nome: Roberto
Cognome: PRIETO
Email: send email
Telefono: 34913366048

ES (MADRID) coordinator 0.00
2    ATOS SPAIN SA

 Organization address address: Calle de Albarracin 25
city: Madrid

contact info
Titolo: Mr.
Nome: Tomas
Cognome: Pariente Lobo
Email: send email
Telefono: 34912148336
Fax: 31917543252

ES (Madrid) participant 0.00
3    CA TECHNOLOGIES DEVELOPMENT SPAIN SA

 Organization address address: PLAZA DE LA PAU SN WTC ALAMEDA PARK 2
city: CORNELLA DE LLOBREGAT BARCELONA

contact info
Titolo: Dr.
Nome: Victor
Cognome: Muntés-Mulero
Email: send email
Telefono: 34934927643
Fax: 34917671054

ES (CORNELLA DE LLOBREGAT BARCELONA) participant 0.00
4    FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS

 Organization address address: N PLASTIRA STR 100
city: HERAKLION

contact info
Titolo: Ms.
Nome: Zinovia
Cognome: Papatheodorou
Email: send email
Telefono: +30 2810391522
Fax: +30 2810391555

EL (HERAKLION) participant 0.00
5    INESC PORTO - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DO PORTO

 Organization address address: Campus da FEUP, Rua Dr. Roberto Frias 378
city: PORTO

contact info
Titolo: Ms.
Nome: Marta
Cognome: Barbas
Email: send email
Telefono: 351222000000
Fax: 351222000000

PT (PORTO) participant 0.00
6    INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS

 Organization address address: Patission Str. 42
city: ATHINA

contact info
Titolo: Prof.
Nome: Yannis
Cognome: Vassiliou
Email: send email
Telefono: +30 210 7724374
Fax: +30 210 7722527

EL (ATHINA) participant 0.00
7    INTEL RESEARCH AND INNOVATION IRELAND LIMITED

 Organization address address: Collinstown Industrial Park
city: LEIXLIP, CO KILDARE

contact info
Titolo: Ms.
Nome: Christina
Cognome: Weir
Email: send email
Telefono: 35316064632

IE (LEIXLIP, CO KILDARE) participant 0.00
8    PT COMUNICACOES SA

 Organization address address: RUA ANDRADE CORVO 6
city: LISBOA

contact info
Titolo: Mr.
Nome: Pedro
Cognome: Torres
Email: send email
Telefono: 351215000000

PT (LISBOA) participant 0.00
9    SYNC LAB SRL

 Organization address address: VIA G PORZIO 4, CDN ISOLA B8
city: NAPOLI

contact info
Titolo: Mr.
Nome: Ferdinando
Cognome: Campanile
Email: send email
Telefono: 393337000000

IT (NAPOLI) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

time    cycles    cep    technologies    nosql    visualizations    data    distributed    sources    analytics    removing    efficient    query    real    streaming    delays    big    leanbigdata    sql   

 Obiettivo del progetto (Objective)

LeanBigData aims at addressing three open challenges in big data analytics: 1) The cost, in terms of resources, of scaling big data analytics for streaming and static data sources; 2) The lack of integration of existing big data management technologies and their high response time; 3) The insufficient end-user support leading to extremely lengthy big data analysis cycles. LeanBigData will address these challenges by:•Architecting and developing three resource-efficient Big Data management systems typically involved in Big Data processing: a novel transactional NoSQL key-value data store, a distributed complex event processing (CEP) system, and a distributed SQL query engine. We will achieve at least one order of magnitude in efficiency by removing overheads at all levels of the big-data analytics stack and we will take into account technology trends in multicore technologies and non-volatile memories. •Providing an integrated big data platform with these three main technologies used for big data, NoSQL, SQL, and Streaming/CEP that will improve response time for unified analytics over multiple sources and large amounts of data avoiding the inefficiencies and delays introduced by existing extract-transfer-load approaches. To achieve this we will use fine-grain intra-query and intra-operator parallelism that will lead to sub-second response times.•Supporting an end-to-end big data analytics solution removing the four main sources of delays in data analysis cycles by using: 1) automated discovery of anomalies and root cause analysis; 2) incremental visualization of long analytical queries; 3) drag-and-drop declarative composition of visualizations; and 4) efficient manipulation of visualizations through hand gestures over 3D/holographic views.Finally, LeanBigData will demonstrate these results in a cluster with 1,000 cores in four real industrial use cases with real data, paving the way for deployment in the context of realistic business processes.

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