CORDIS Project
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This project focuses on developing a new algorithmic foundation for big data analysis, addressing the need for low-latency processing and complex analytics. It aims to integrate data and pipeline parallelism, optimize performance, and enable efficient information discovery in fields like genomics.
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…
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