Learning to route A Valadarsky, M Schapira, D Shahaf, A Tamar Proceedings of the 16th ACM Workshop on Hot Topics in Networks, 185-191, 2017 | 300* | 2017 |
Vericon: towards verifying controller programs in software-defined networks T Ball, N Bjørner, A Gember, S Itzhaky, A Karbyshev, M Sagiv, M Schapira, ... Proceedings of the 35th ACM SIGPLAN conference on programming language …, 2014 | 260 | 2014 |
Xpander: Towards optimal-performance datacenters A Valadarsky, G Shahaf, M Dinitz, M Schapira Proceedings of the 12th International on Conference on emerging Networking …, 2016 | 141* | 2016 |
TeaVaR: Striking the Right Utilization-Availability Balance in WAN Traffic Engineering J Bogle, N Bhatia, M Ghobadi, I Menache, N Bjørner, A Valadarsky, ... | 105 | 2019 |
Beyond fat-trees without antennae, mirrors, and disco-balls S Kassing, A Valadarsky, G Shahaf, M Schapira, A Singla Proceedings of the Conference of the ACM Special Interest Group on Data …, 2017 | 105 | 2017 |
Shoal: A network architecture for disaggregated racks V Shrivastav, A Valadarsky, H Ballani, P Costa, KS Lee, H Wang, ... 16th {USENIX} Symposium on Networked Systems Design and Implementation …, 2019 | 99 | 2019 |
Explicit expanding expanders M Dinitz, M Schapira, A Valadarsky Algorithmica 78, 1225-1245, 2017 | 15 | 2017 |
Learning to route with deep rl A Valadarsky, M Schapira, D Shahaf, A Tamar NeurIPS Deep Reinforcement Learning Symposium, 2017, 2017 | | 2017 |
Practical Programmable Topologies in the WAN KT Foerster, M Ghobadi, R Mahajan, A Valadarsky | | |