ASAP
An Adaptive, highly Scalable Analytics Platform
| Coordinatore | FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS
Organization address
address: N PLASTIRA STR 100 POBOX 1385 contact info |
| 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
| # | ||||
|---|---|---|---|---|
| 1 |
FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS
Organization address
address: N PLASTIRA STR 100 POBOX 1385 contact info |
EL (HERAKLION) | coordinator | 0.00 |
| 2 |
INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS
Organization address
address: Patission Str. 42 contact info |
EL (ATHINA) | participant | 0.00 |
| 3 |
INTERNET MEMORY RESEARCH SAS
Organization address
address: RUE DE LA REVOLUTION 45 TER contact info |
FR (MONTREUIL) | participant | 0.00 |
| 4 |
THE QUEEN'S UNIVERSITY OF BELFAST
Organization address
address: UNIVERSITY ROAD LANYON BUILDING contact info |
UK (BELFAST) | participant | 0.00 |
| 5 |
UNIVERSITE DE GENEVE
Organization address
address: RUE DU GENERAL DUFOUR 24 contact info |
CH (GENEVE) | participant | 0.00 |
| 6 |
WEBLYZARD TECHNOLOGY GMBH
Organization address
address: PUCHLGASSE 2/44 contact info |
AT (WIEN) | participant | 0.00 |
| 7 |
WIND TELECOMUNICAZIONI S.P.A.
Organization address
address: VIA VIOLA CESARE GIULIO 48 contact info |
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.