Objective
The cloud computing infrastructure that logically centralizes data storage and computation for many different actors is a prime example of a key societal system. A number of time-critical applications deployed in the cloud infrastructure have to provide high reliability and throughput, along with guaranteed low latency for delivering data. This low latency guarantee is sorely lacking today, with the so-called tail-latency of slowest responses in popular cloud services being several orders of magnitude longer than the median response times. Unfortunately, simply using a network with ample bandwidth does not guarantee low latency because of problems with congestion at the intra-and inter-data center levels and server overloads. All of these problems currently render the existing cloud infrastructures unsuitable for time-critical societal applications. The reasons for unpredictable delays across the Internet and within the cloud infrastructure are numerous, but some of the key culprits are: 1) slow memory subsystems limit server effectiveness, and 2) excess buffering in the Internet further limits correlation of data requests.
The aim of this project is to dramatically change the way data flows across the Internet, such that it is more highly correlated when it is to be processed at the servers. The overarching goal is to enforce a large degree of correlation in the data requests (logical units of data), both temporally (across time) and spatially (as server work units require correlation to achieve high cache hit rates). The result is that the logical units of data will be processed at almost the maximum processing speed of the cloud servers. By doing so, we will achieve an ultra-low latency Internet. This project will produce the tools and knowledge that will be key to dramatically reducing the latency of key societal services; these include cloud services used by a large number of users on a daily basis.
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.
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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.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
ERC-COG - Consolidator Grant
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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) ERC-2017-COG
See all projects funded under this callHost institution
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.
100 44 STOCKHOLM
Sweden
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.