Project description
New platform enabling near-data processing
Near-data processing, namely placing the processing power near the data rather than sending data to the processor, mitigates challenges associated with the expensive movement of extremely high volumes of data. The EU-funded NEARDATA project will design a near-data platform to enable the consumption, mining and processing of distributed and federated data. The envisaged platform will eliminate the need to optimise the logistics of data access across heterogeneous data locations and pools. It will host an intermediary data service providing serverless connectors that optimise data management operations and interactive queries. Real-time video and event streams will be supported. Ultimately, the platform will host a data broker service, enabling trustworthy data sharing and data pipeline orchestration across the computing continuum.
Objective
The main goal is to design an Extreme near-data platform to enable consumption, mining and processing of dis-
tributed and federated data without needing to master the logistics of data access across heterogeneous data
locations and pools. We go beyond traditional passive or bulk data ingested from storage systems towards next
generation near-data processing platforms both in the Cloud and in the Edge. In our platform, Extreme Data in-
cludes both metadata and trustworthy data connectors enabling advanced data management operations like data
discovery, mining, and filtering from heterogeneous data sources.
The three core objectives are:
O-1 Provide high-performance near-data processing for Extreme Data Types: The first objective is to create a
novel intermediary data service (XtremeDataHub) providing serverless data connectors that optimize data management operations
(partitioning, filtering, transformation, aggregation) and interactive queries (search, discovery, matching,
multi-object queries) to efficiently present data to analytics platforms. Our data connectors facilitate a elas-
tic data-driven process-then-compute paradigm which significantly reduces data communication on the
data interconnect, ultimately resulting in higher overall data throughput.
O-2 Support real-time video streams but also event streams that must be ingested and processed very fast to
Object Storage: The second objective is to seamlessly combine streaming and batch data processing for
analytics. To this end, we will develop stream data connectors deployed as stream operators offering very
fast stateful computations over low-latency event and video streams.
O-3 The third objective is to create a Data Broker service enabling trustworthy data sharing and confidential orchestration of data pipelines across the Compute Continuum. We will provide secure data orchestration, transfer, processing and access thanks to Trusted Execution Environments (TEEs) and federated learning architectures.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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HORIZON.2.4.7 - Advanced Computing and Big Data
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-RIA - HORIZON Research and Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-CL4-2022-DATA-01
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
43003 TARRAGONA
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.