Update pooria_additional.bib

Author: PooriaNamyar

_bibliography/people/pooria_additional.bib

@@ -31,12 +31,17 @@ @inproceedings{Arzani2025Raha
 }
 
 @inproceedings{namyar2025mitigation,
-  title={Enhancing Network Failure Mitigation with Performance-Aware Ranking},
-  author={Namyar, Pooria and Ghavidel, Arvin and Crankshaw, Daniel and Berger, Daniel S and Hsieh, Kevin and Kandula, Srikanth and Govindan, Ramesh and Arzani, Behnaz},
+  author = {Pooria Namyar and Arvin Ghavidel and Daniel Crankshaw and Daniel S. Berger and Kevin Hsieh and Srikanth Kandula and Ramesh Govindan and Behnaz Arzani},
+  title = {Enhancing Network Failure Mitigation with {Performance-Aware} Ranking},
   booktitle = {22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI 25)},
-  year={2025},
+  year = {2025},
+  isbn = {978-1-939133-46-5},
+  address = {Philadelphia, PA},
+  pages = {335--357},
+  url = {https://www.usenix.org/conference/nsdi25/presentation/namyar},
+  publisher = {USENIX Association},
+  month = apr,
   abbr={NSDI},
-  url={https://drive.google.com/file/d/1kXOCrUBKsEAAyjfDI8fCCt-7poA3hPuP/view},
   abstract={Cloud providers install mitigations to reduce the impact of network failures within their datacenters. Existing network mitigation systems rely on simple local criteria or global proxy metrics to determine the best action. In this paper, we show that we can support a broader range of actions and select more effective mitigations by directly optimizing end-to-end flow-level metrics and analyzing actions holistically. To achieve this, 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.}
 }