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perfbench: A Tool for Predictability Analysis in Multi-Tenant Software-Defined Networks.

, , , , , and . SIGCOMM Posters and Demos, page 66-68. ACM, (2018)

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Towards Digital Network Twins: Can we Machine Learn Network Function Behaviors?, , , , , , and . NetSoft, page 438-443. IEEE, (2023)Modeling the Cost of Flexibility in Communication Networks., , , , , , and . INFOCOM, page 1-10. IEEE, (2021)What You Need to Know About Optical Circuit Reconfigurations in Datacenter Networks., , and . ITC, page 1-9. IEEE, (2021)AdFAT: Adversarial Flow Arrival Time Generation for Demand-Oblivious Data Center Networks., , and . CNSM, page 1-5. IEEE, (2023)Mistill: Distilling Distributed Network Protocols From Examples., , , , , and . IEEE Trans. Netw. Serv. Manag., 20 (4): 4110-4125 (December 2023)Ismael: Using Machine Learning to Predict Acceptance of Virtual Clusters in Data Centers., , , and . IEEE Trans. Network and Service Management, 16 (3): 950-964 (2019)Alert-Based Network Reconfiguration and Data Evacuation., , , , , , , , and . Guide to Disaster-Resilient Communication Networks, Springer, (2020)Cerberus: The Power of Choices in Datacenter Topology Design - A Throughput Perspective., , , , , and . SIGMETRICS (Abstracts), page 99-100. ACM, (2022)On the Performance of TCP in Reconfigurable Data Center Networks., , , and . CNSM, page 127-135. IEEE, (2022)AHAB: Data-Driven Virtual Cluster Hunting., , , , , , and . Networking, page 379-387. IFIP, (2018)