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SLA-Driven ML Inference Framework for Clouds with Hetergeneous Accelerators.

, , , и . MLSys, mlsys.org, (2022)

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Diman Hassan

Hans-Michael Dimanski

Ain rs Dimants

Jacob Dimanstein

Götz Dimanski

 

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