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DOE OSTI · 1460784

BigData Express: Toward Predictable, Schedulable, and High-Performance Data Transfer [Slides]

Wu, Wenji
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Abstract

Big data has emerged as a driving force for scientific discoveries. Large scientific instruments (e.g., colliders, and telescopes) generate exponentially increasing volumes of data. To enable scientific discovery, science data must be collected, indexed, archived, shared, and analyzed, typically in a widely distributed and highly collaborative manner. Data transfer is now an essential function for science discoveries, particularly within big data environments. To support data transfer for big data science, there is a need for predictable, high performance, scalable, end-to-end, programmable networks that enable science applications to use network resources most efficiently. Software-Defined Networking (SDN) is a novel network architecture and technological approach that separates the network control and data planes.

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BibTeXRIS

Wu, Wenji. 2018-05-08. BigData Express: Toward Predictable, Schedulable, and High-Performance Data Transfer [Slides]. https://doi.org/10.2172/1460784

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