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European Extreme Performing Big Data Stacks

Obiettivo

Imagine a Big Data application with the following characteristics: (i) it has to process large amounts of complex streaming data,
(ii) the application logic that processes the incoming data must execute and complete within a strict time limit,
and (iii) there is a limited budget for infrastructure resources.

In today’s world, the data would be streamed from the local network or edge devices to a cloud provider which is rented by a customer to perform the data execution. The Big Data software stack, in an application and hardware agnostic manner, will split the execution stream into multiple tasks and send them for processing on the nodes the customer has paid for. If the outcome does not match the strict three second business requirement, then the customer has two options:
1) scale-up (by upgrading processors at node level),
2) scale-out (by adding nodes to their clusters), or 3) manually implement code optimizations specific to the underlying hardware.

E2Data proposes an end-to-end solution for Big Data deployments that will fully exploit and advance the state-of-the-art in infrastructure services by delivering a performance increase of up to 10x while utilizing up to 50% less cloud resources.
E2Data will provide a new Big Data paradigm, by combining state-of-the-art software components, in order to achieve maximum resource utilization for heterogeneous cloud deployments without affecting current programming norms (i.e. no code changes in the original source).
The E2Data innovations will be driven by the requirements of four resource demanding applications from the finance, health, green buildings, and security domains.
Finally, the evaluation will be conducted on both high-performing x86 and low-power ARM cluster architectures representing realistic execution scenarios of real-world deployments.

Campo scientifico

Parole chiave

Programma(i)

Argomento(i)

Invito a presentare proposte

H2020-ICT-2016-2017

Vedi altri progetti per questo bando

Bando secondario

H2020-ICT-2017-1

Meccanismo di finanziamento

RIA - Research and Innovation action

Coordinatore

EXUS SOFTWARE LTD
Contribution nette de l'UE
€ 503 125,00
Indirizzo
4 felstead gardens cubitt town
E14 3BS London
Regno Unito

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PMI

L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.
Sì
Regione
London Inner London — East Tower Hamlets
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Collegamenti
Altri finanziamenti
€ 0,00

Partecipanti (8)

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Ultimo aggiornamento: 29 Aprile 2023

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Permalink: https://cordis.europa.eu/project/id/780245/it

European Union, 2023