XNET Lightning Talk: Extending the Research Engineering Network to the Wireless Edge

Workshop:INDIS 2020: The 7th International Workshop on Innovating the Network for Data-Intensive Science

Authors: Andrew CK Wiedlea (Energy Sciences Network (ESnet), Lawrence Berkeley National Laboratory)

Abstract: The Energy Sciences Network (ESnet) provides high-speed reliable data backhaul to the US DOE, and affiliated research programs globally. Future generations of this network will support terabit class performance as well as integration with extended, intelligent orchestration, allowing storage, compute and other services to become integral parts of a "computational data fabric" vision for science. Related to this effort, we are beginning to study how ESnet can leverage 5G, mmWave, non-terrestrial networks, and other wireless data capabilities to integrate all parts of this vision seamlessly from sensor to laboratory.

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