LeanBigData

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

Coordinatore	UNIVERSIDAD POLITECNICA DE MADRID    more  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

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 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.