Managed Network Services for Exascale Data Movement across Large Global Scientific Collaborations
DescriptionUnique scientific instruments designed and operated by large global collaborations are expected to produce exabyte-scale data volumes per year by 2030. These collaborations depend on globally distributed storage and compute to turn raw data into science. While all of these infrastructures have batch scheduling capabilities to share compute, Research and Education networks lack those capabilities. There is thus uncontrolled competition for bandwidth between and within collaborations. As a result, data "hogs" disk space at processing facilities for much longer than it takes to process, leading to vastly over-provisioned storage infrastructures. Integrated co-scheduling of networks as part of high-level managed workflows might reduce these storage needs by more than an order of magnitude. This presentation describes such a solution, demonstrates its functionality in the context of the Large Hadron Collider (LHC) at CERN, and presents the next-steps toward its use in production.
Event Type
Workshop
TimeMonday, 14 November 20223:50pm - 4:10pm CST
LocationD222
Registration Categories
W
Session Formats
Recorded
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