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Network recovery from massive failures under uncertain knowledge of damages.

, , , , , and . Networking, page 1-9. IEEE Computer Society, (2017)

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Modeling, Monitoring and Scheduling Techniques for Network Recovery from Massive Failures., , and . IM, page 695-700. IFIP, (2019)SLA-Driven ML Inference Framework for Clouds with Hetergeneous Accelerators., , , and . MLSys, mlsys.org, (2022)Risk of attack coefficient effect on availability of Ad-hoc networks., , , and . CCNC, page 166-168. IEEE, (2011)eCaaS: A Management Framework of Edge Container as a Service for Business Workload., , , , , and . EdgeSys@EuroSys, page 73-78. ACM, (2021)CAGE: A Contention-Aware Game-Theoretic Model for Heterogeneous Resource Assignment., and . ICCD, page 161-164. IEEE Computer Society, (2017)Homa: An Efficient Topology and Route Management Approach in SD-WAN Overlays., , , and . INFOCOM, page 2351-2360. IEEE, (2020)Network recovery from massive failures under uncertain knowledge of damages., , , , , and . Networking, page 1-9. IEEE Computer Society, (2017)Conspirator: SmartNIC-Aided Control Plane for Distributed ML Workloads., , , , , and . USENIX ATC, page 767-784. USENIX Association, (2024)Game-theoretic approach to mitigate packet dropping in wireless Ad-hoc networks., , , and . CCNC, page 163-165. IEEE, (2011)DUST: Resource-Aware Telemetry Offloading with A Distributed Hardware-Agnostic Approach., , , and . IPDPS (Workshops), page 919-928. IEEE, (2024)