Workshop: The 12th Annual International Workshop on Innovating the Network for Data-Intensive Science (INDIS)
Authors: Inder Monga (ESnet; Lawrence Berkeley National Laboratory (LBNL)); Mazahir Hussain (Korea Institute of Science and Technology Information, University of Science and Technology (UST)); Justas Balcas (ESnet; Lawrence Berkeley National Laboratory (LBNL)); Aashay Arora and Diego Davila (University of California, San Diego (UCSD)); Buseung Cho (Korea Institute of Science and Technology Information, University of Science and Technology (UST)); Xi Yang (ESnet; Lawrence Berkeley National Laboratory (LBNL)); and Cees De Laat (University of Amsterdam)
Abstract: The escalating demands of scientific collaborations necessitate advanced networking for deterministic, secure, and orchestrated services across multiple administrative domains. The Software-Defined Network for End-to-end Networked Science at the Exascale (SENSE) paradigm addresses these needs through intent-based networking and multi-domain orchestration. This paper evaluates SENSE's performance on a comprehensive multi-domain testbed, including GNA-G AutoGOLE, the National Research Platform (NRP), FABRIC, and production LHC CMS infrastructure. Our results demonstrate that intent-based service requests are successfully translated into network configurations, with average provisioning times of 183 seconds for simple services and 290 seconds for complex multi-domain workflows. Performance monitoring confirms that SENSE maintains guaranteed bandwidth allocations, enabling higher-priority data flows to complete significantly faster than in best-effort scenarios. This capability transforms the network into a first-class schedulable resource, optimizing scientific workflows by prioritizing data criticality and moving beyond best-effort limitations to achieve predictable and efficient data movement for data-intensive scientific endeavors.
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