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European Extreme Performing Big Data Stacks

Objetivo

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.

Convocatoria de propuestas

H2020-ICT-2016-2017

Consulte otros proyectos de esta convocatoria

Convocatoria de subcontratación

H2020-ICT-2017-1

Régimen de financiación

RIA - Research and Innovation action

Coordinador

EXUS SOFTWARE LTD
Aportación neta de la UEn
€ 503 125,00
Dirección
4 FELSTEAD GARDENS CUBITT TOWN
E14 3BS London
Reino Unido

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Pyme

Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.

Región
London Inner London — East Tower Hamlets
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Enlaces
Coste total
€ 503 125,00

Participantes (8)