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_bibliography/people/pooria.bib

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@@ -8,6 +8,14 @@ @inproceedings{namyar2025mitigation
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abstract={Cloud providers install mitigations to reduce the impact of network failures in their datacenters. To determine the best action, existing automatic network mitigation systems rely on simple local criteria or global proxy metrics. In this paper, we show that we can explicitly optimize end-to-end flow-level metrics and analyze actions holistically to support a broader range of actions and select much more effective mitigations. To this end, we develop novel techniques to quickly estimate the impact of different mitigations and rank them with high fidelity. Our results on incidents from a large cloud provider show orders of magnitude improvements in flow completion time and throughput. We also show our approach scales to large datacenters.}
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@inproceedings{alcoz2025packs,
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title={Everything Matters in Programmable Packet Scheduling},
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author={Alcoz, Albert Gran and Vass, Balázs and Namyar, Pooria and Arzani, Behnaz and Rétvári, Gábor and Vanbever, Laurent},
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booktitle = {22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI 25)},
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year={2025},
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abbr={NSDI},
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}
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@inproceedings{namyar2024metaopt,
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author = {Pooria Namyar and Behnaz Arzani and Ryan Beckett and Santiago Segarra and Himanshu Raj and Umesh Krishnaswamy and Ramesh Govindan and Srikanth Kandula},
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title = {Finding Adversarial Inputs for Heuristics using Multi-level Optimization},

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