Objective
Distributed ledgers (DLs), also called blockchains, have the potential of transforming the ways individuals and businesses interact. While today a trusted third party, such as a bank, is required to guarantee that transactions among these entities are performed correctly, with DLs it is possible to delegate this task to a distributed computer network that relies on cryptographic operations and sophisticated distributed consensus algorithms to ensure that transactions are recorded durably and in a tamper-free manner. As a result, DLs have the potential to reduce the cost of transactions and the associated latencies dramatically.
However, the adoption of DLs outside of crypto-currency use-cases has been slow partially due to their low performance compared to traditional data management systems. This stems mostly from the constraints and design choices inherited from the first public blockchains, that targeted public, geo-distributed, operation. Today, however, most industry use-cases require permissioned access to the ledger and involve nodes that are geographically close to each other (e.g. in a shipping port). This prompts a redesign of DLs and allows for using various hardware acceleration features to increase their performance.
In the ACCORD project, we aim to increase distributed ledger throughput by at least an order of magnitude, while lowering latencies by a similar factor. To achieve this, we focus on the core component of DL systems, namely, distributed consensus that is used to establish an absolute order of transactions. This ordering operation (service) is typically the main performance bottleneck in DLs. To fully exploit emerging network technologies and to overcome stagnating CPU performance, we will use hardware acceleration (i.e. FPGAs) to offload the steps required by the ordering service. The outcome of this project is a DL design with performance that allows it to be deployed in use-cases in which DLs are inadequate today (e.g. trading).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering computer hardware computer processors
- natural sciences computer and information sciences computer security cryptography
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications telecommunications networks
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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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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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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) H2020-MSCA-IF-2018
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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.
28223 Pozuelo De Alarcon
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.