ASAP

An Adaptive, highly Scalable Analytics Platform

Coordinatore	FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS    more  Organization address address: N PLASTIRA STR 100 POBOX 1385 city: HERAKLION postcode: 71110 contact info Titolo: Ms. Nome: Zinovia Cognome: Papatheodorou Email: send email Telefono: +30 2810 391522 Fax: +30 2810 391555
Nazionalità Coordinatore	Greece [EL]
Totale costo	3˙637˙349 €
EC contributo	2˙769˙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)	2014-03-01   -   2017-02-28

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS  Organization address address: N PLASTIRA STR 100 POBOX 1385 city: HERAKLION postcode: 71110 contact info Titolo: Ms. Nome: Zinovia Cognome: Papatheodorou Email: send email Telefono: +30 2810 391522 Fax: +30 2810 391555	EL (HERAKLION)	coordinator	0.00
2	INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS  Organization address address: Patission Str. 42 city: ATHINA postcode: 10682 contact info Titolo: Prof. Nome: Nectarios Cognome: Koziris Email: send email Telefono: 302108000000 Fax: 302108000000	EL (ATHINA)	participant	0.00
3	INTERNET MEMORY RESEARCH SAS  Organization address address: RUE DE LA REVOLUTION 45 TER city: MONTREUIL postcode: 93100 contact info Titolo: Ms. Nome: Nathalie Cognome: Pischon Email: send email Telefono: 33954878293	FR (MONTREUIL)	participant	0.00
4	THE QUEEN'S UNIVERSITY OF BELFAST  Organization address address: UNIVERSITY ROAD LANYON BUILDING city: BELFAST postcode: BT7 1NN contact info Titolo: Mr. Nome: Rory Cognome: Jordan Email: send email Telefono: 442891000000	UK (BELFAST)	participant	0.00
5	UNIVERSITE DE GENEVE  Organization address address: RUE DU GENERAL DUFOUR 24 city: GENEVE postcode: 1211 contact info Titolo: Dr. Nome: Vasiliki Cognome: KANTERE Email: send email Telefono: +41 22 3790052 Fax: +41 22 3791180	CH (GENEVE)	participant	0.00
6	WEBLYZARD TECHNOLOGY GMBH  Organization address address: PUCHLGASSE 2/44 city: WIEN postcode: 1190 contact info Titolo: Prof. Nome: Arno Cognome: Scharl Email: send email Telefono: +43 12760821	AT (WIEN)	participant	0.00
7	WIND TELECOMUNICAZIONI S.P.A.  Organization address address: VIA VIOLA CESARE GIULIO 48 city: ROMA postcode: 148 contact info Titolo: Mrs. Nome: Maria Rita Cognome: Spada Email: send email Telefono: 390126000000	IT (ROMA)	participant	0.00

Mappa

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 Obiettivo del progetto (Objective)

This project proposes a unified, open-source execution framework for scalable data analytics. Data analytics tools have become essential for harnessing the power of our era's data deluge. Current technologies are restrictive, as their efficacy is usually bound to a single data and compute model, often depending on proprietary systems. The main idea behind ASAP is that no single execution model is suitable for all types of tasks and no single data model (and store) is suitable for all types of data. The project makes the following innovative contributions:nn(a) A general-purpose task-parallel programming model. The runtime will incorporate and advance state-of-the-art task-parallel programming models features, namely: (i) irregular general-purpose computations, (ii) resource elasticity, (iii) synchronization, data-transfer, locality and scheduling abstraction, (iv) ability to handle large sets of irregular distributed data, and (v) fault-tolerance.nn(b) A modeling framework that constantly evaluates the cost, quality and performance of data and computational resources in order to decide on the most advantageous store, indexing and execution pattern available.nn(c) A unique adaptation methodology that will enable the analytics expert to amend the task she has submitted at an initial or later stage.nn(d) A state-of-the-art visualization engine that will enable the analytics expert to obtain accurate, intuitive results of the analytics tasks she has initiated in real-time.nnTwo exemplary applications that showcase the ASAP technology in the areas of Web content and large-scale business analytics will be developed. The consortium -- led by the Foundation for Research & Technology -- is well-positioned to achieve its objectives by bringing together a team of leading researchers in data-management technologies. These are combined with active industrial and leading user organizations that offer expertise in the production-level domain of data analytics.