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Effectiveness and predictability of in-network storage cache for Scientific Workflows., , , , , , , , and . ICNC, page 226-230. IEEE, (2023)Next-Generation Exascale Network Integrated Architecture for Global Science Invited., , , , , , , and . JOCN, 9 (2): A162-A169 (2017)N-DISE: NDN-based data distribution for large-scale data-intensive science., , , , , , , , , and 9 other author(s). ICN, page 103-113. ACM, (2022)SDN next generation integrated architecture for HEP and global science., , , , , , , and . OFC, page 1-3. IEEE, (2016)Software-Defined Network for End-to-end Networked Science at the Exascale., , , , , , , , , and . CoRR, (2020)Integration of end-user Cloud storage for CMS analysis., , , , , , , , , and 3 other author(s). Future Gener. Comput. Syst., (2018)Diolkos: improving ethernet throughput through dynamic port selection., , , , , and . CF, page 83-92. ACM, (2021)Moving the California distributed CMS xcache from bare metal into containers using Kubernetes., , , , , , , and . CoRR, (2020)Integrating End-to-End Exascale SDN into the LHC Data Distribution Cyberinfrastructure., , , , , , , , , and 3 other author(s). PEARC, page 53:1-53:4. ACM, (2022)Managed Network Services for Exascale Data Movement Across Large Global Scientific Collaborations., , , , , , , , , and 3 other author(s). XLOOP@SC, page 16-19. IEEE, (2022)