• Vojislav Dukic
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  • Teaching
    Vojislav Dukic

    Vojislav Dukic

    (Војислав Ђукић)

    Dr sc. ETH, Computer science

    I build efficient infrastructure for AI and data-intensive workloads

    • Oracle Zurich
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    • CV

    New primitives for bounded degradation in network service

    Arxiv [ pdf ]

    Simon Kassing, Vojislav Dukic, Ce Zhang, Ankit Singla

    Explicit bounds on degradable traffic can improve multiplexing while protecting latency-sensitive workloads.

    Leveraging workload knowledge to design data center networks

    PhD thesis [ pdf ]

    Vojislav Dukic

    Workload knowledge can guide network design and scheduling to improve performance while reducing cloud infrastructure cost.

    Photons: Lambdas on a diet

    SoCC 20 [ pdf ]

    Vojislav Dukic, Rodrigo Bruno, Ankit Singla, Gustavo Alonso

    Sharing runtimes across concurrent serverless invocations reduces memory use and cold starts without sacrificing performance.

    Beyond the Mega-Data Center: Networking Multi-Data Center Regions

    SIGCOMM 20 [ pdf ] [ video ]

    Vojislav Dukic, Ginni Khanna, Christos Gkantsidis, Thomas Karagiannis, Francesca Parmigiani, Ankit Singla, Mark Filer, Jeffrey L. Cox, Anna Ptasznik, Nick Harland, Winston Saunders, Christian Belady

    Optical circuit switching can make flexible, low-latency regional data-center networks economically viable.

    Happiness index: Right-sizing the cloud’s tenant-provider interface

    HotCloud 19 [ pdf ]

    Vojislav Dukic, Ankit Singla

    A lightweight feedback interface can help cloud providers discover better resource configurations for tenant workloads.

    Is advance knowledge of flow sizes a plausible assumption?

    NSDI 19 [ pdf ]

    Vojislav Dukic, Sangeetha Abdu Jyothi, Bojan Karlas, Muhsen Owaida, Ce Zhang, Ankit Singla

    Partial knowledge of flow sizes is practical and useful for improving data-center scheduling.

    Network Scheduling in the Dark

    (Poster) SoCC 18 [ pdf ]

    Vojislav Dukic, Sangeetha Abdu Jyothi, Bojan Karlas, Muhsen Owaida, Ce Zhang, Ankit Singla

    Workload signals can make network scheduling more effective, even when applications cannot provide flow sizes directly.

    Information System Software Development with Support for Application Traceability

    (master thesis) PROFES 2015 [ pdf ]

    Vojislav Dukic, Ivan Luković, Matej Črepinšek, Tomaž Kosar, Marjan Mernik

    Application-level traceability makes complex information systems easier to evolve and verify.

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