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Distributed storage based on sparse-graph codes

Objective

The recent years have witnessed the explosion of services and applications such as email, cloud computing, social
and media networks, and video sharing. The grand challenge is to store, process and transfer this massive amount
of data. According to recent estimates, the data to be stored grows at a rate of 45% per year, a factor of 40 by
2024. Data centers typically employ a collection of cheap devices/nodes, which are connected forming a so-called
distributed storage (DS) system, where a central server keeps track of where each file is stored and performs all
network operations. Every day, knowingly or unknowingly people connect to various private and public DS systems.
It is nowadays accepted that current DS systems cannot face the unabated growing of digital data volume. Nextgeneration
storage systems desperately need new technologies to improve their robustness to node failures, storage
efficiency, complexity, and cost efficiency, in order to sustain the information revolution of modern societies.
This project addresses the challenges above using modern coding theory and optimization theory. Our focus is
on the application of sparse-graph erasure correcting codes to large DS networks. The proposed project falls into the
category of fundamental research, but it is driven by practical concerns, and we expect our findings to give new and
relevant insights for the design of practical coding schemes for next-generation DS systems.

Programme(s)

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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.

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.

MSCA-IF-EF-ST - Standard EF

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2014

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Coordinator

CHALMERS TEKNISKA HOGSKOLA AB
Net EU contribution

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.

€ 185 857,20
Address
-
412 96 GOTEBORG
Sweden

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Region
Södra Sverige Västsverige Västra Götalands län
Activity type
Higher or Secondary Education Establishments
Links
Total cost

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.

€ 185 857,20
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