TechExtra Event: January 13, 2022 @ 1 p.m. ET

A New Network Paradigm for Data-Intensive Sciences

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Join Harvey Newman of CalTech as he discusses how the science workflows of the largest data-intensive science programs demand reliable and predictable data flows across multi-domain networks. On January 13, 2022 at 1 p.m. ET, learn how research and education leaders are developing dynamic and adaptive programmable networks to meet the research community’s needs.

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Event Abstract

The science workflows of the largest data-intensive science programs — such as the Large Hadron Collider (LHC), the International Gravitational Wave Observatory Network, IceCube, and the Vera Rubin Observatory — demand reliable and predictable data flows across multi-domain networks, coordinated with resource-intensive computation and storage.

These programs face the challenge of collaboratively processing data at sites around the world. This is happening on an exponentially rising scale that is expected to reach several exabytes per year, thereby outstripping the affordable network capacity on transoceanic and campus links, as well as some continental and regional backbone segments within the next few years.

Harvey Newman of CalTech discusses how leading organizations are developing a new dynamic and adaptive paradigm of software-driven programmable networks to meet the network needs of the academic and research community.

Organizations involved in this effort are:

The Jan. 13, 2022 event covers: