Diao Lab

Polytechnic School - Palaiseau

Ile-de-France (FR1) · France

ERC-funded
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ERC Consolidator Grant · 2016

Charting a New Horizon of Big and Fast Data Analysis through Integrated Algorithm Design

This proposal addresses a pressing need from emerging big data applications such as genomics and data center monitoring: besides the scale of processing, big data systems must also enable perpetual, low-latency processing for a broad set of analytical tasks, referred to as big and fast data analysis. Today’s technology falls severely short for such needs due to the lack of support of complex analytics with scale, low latency, and strong guarantees of user performance requirements. To bridge the gap, this proposal tackles a grand challenge: “How do we design an algorithmic foundation that enables the development of all necessary pillars of big and fast data analysis?” This proposal considers…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.

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