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Automatic Scalable VM Management for Data Centre Optimisation

Objective

The overall vision of the FishDirector project is to bring to market our innovative software solution for real time live optimization of cloud data centres to enable optimum use of server resources and reduce overall energy use by at least 30%.

To reduce the number of servers needed to deliver services and reduce overall energy consumption data centres have adopted virtualization, running VMs (virtual machines) on each server. VM workload is dynamic, varying in response to user demand. However, data centre operators do not currently have a comprehensive automated system for optimally placing VMs and allocating the optimal number of servers to meet the workload requirements. This results in sub-optimal hardware utilization (typically 18% whilst consuming 60% - 90% of their maximum system power), a larger number of servers than is necessary, higher energy consumption and a poorer end user experience due to lower response time and/or intermittent availability.

FishDirector works with OpenStack to address this problem by providing a scalable software solution for automating VM placement in a highly dynamic environment and consolidating live VMs data centre-wide, ensuring continuous operation and load balancing. Unlike existing solutions, it allows data centre operators to automatically optimize resources for VM instances across multiple servers in a scalable manner and with no practical limit to the number of servers that can be managed.

FishDirector has been successfully demonstrated in small server installations and is thus at TRL6. We seek funding for the Phase I Feasibility Study to explore the viability of moving FishDirector to TRL 9 through a Phase 2 project to demonstrate and validate FishDirector in a large data centre (> 100 servers). The expected outcome is the technical and economic validation of the FishDirector software solution with data and documentation ready for commercialization across European and US markets.

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.

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

SME-1 - SME instrument phase 1

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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-SMEInst-2014-2015

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Coordinator

SARDINA SYSTEMS OU
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.

€ 50 000,00
Address
POHJA PST 21/2-47
10414 Tallinn
Estonia

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Eesti Eesti Põhja-Eesti
Activity type
Private for-profit entities (excluding 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.

€ 71 429,00
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