The {CacheLib} caching engine: Design and experiences at scale B Berg, DS Berger, S McAllister, I Grosof, S Gunasekar, J Lu, M Uhlar, ... 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2020 | 96 | 2020 |
SRPT for multiserver systems I Grosof, Z Scully, M Harchol-Balter ACM SIGMETRICS Performance Evaluation Review 46 (2), 9-11, 2019 | 67 | 2019 |
Computational complexity of motion planning of a robot through simple gadgets ED Demaine, I Grosof, J Lynch, M Rudoy arXiv preprint arXiv:1806.03539, 2018 | 40 | 2018 |
The Gittins policy is nearly optimal in the M/G/k under extremely general conditions Z Scully, I Grosof, M Harchol-Balter Proceedings of the ACM on Measurement and Analysis of Computing Systems 4 (3 …, 2020 | 34 | 2020 |
Stability for two-class multiserver-job systems I Grosof, M Harchol-Balter, A Scheller-Wolf arXiv preprint arXiv:2010.00631, 2020 | 28 | 2020 |
Uniform bounds for scheduling with job size estimates Z Scully, I Grosof, M Mitzenmacher arXiv preprint arXiv:2110.00633, 2021 | 25 | 2021 |
Optimal multiserver scheduling with unknown job sizes in heavy traffic Z Scully, I Grosof, M Harchol-Balter ACM SIGMETRICS Performance Evaluation Review 48 (2), 33-35, 2020 | 24 | 2020 |
Optimal scheduling in the multiserver-job model under heavy traffic I Grosof, Z Scully, M Harchol-Balter, A Scheller-Wolf Proceedings of the ACM on Measurement and Analysis of Computing Systems 6 (3 …, 2022 | 23 | 2022 |
WCFS: A new framework for analyzing multiserver systems I Grosof, M Harchol-Balter, A Scheller-Wolf Queueing Systems 102 (1), 143-174, 2022 | 23 | 2022 |
Load balancing guardrails: Keeping your heavy traffic on the road to low response times I Grosof, Z Scully, M Harchol-Balter Proceedings of the ACM on Measurement and Analysis of Computing Systems 3 (2 …, 2019 | 21 | 2019 |
Nudge: Stochastically improving upon FCFS I Grosof, K Yang, Z Scully, M Harchol-Balter Proceedings of the ACM on Measurement and Analysis of Computing Systems 5 (2 …, 2021 | 16 | 2021 |
The RESET and MARC techniques, with application to multiserver-job analysis I Grosof, Y Hong, M Harchol-Balter, A Scheller-Wolf Performance Evaluation 162, 102378, 2023 | 8 | 2023 |
New stability results for multiserver-job models via product-form saturated systems I Grosof, M Harchol-Balter, A Scheller-Wolf ACM SIGMETRICS Performance Evaluation Review 51 (2), 6-8, 2023 | 8 | 2023 |
Push-pull block puzzles are hard ED Demaine, I Grosof, J Lynch International Conference on Algorithms and Complexity, 177-195, 2017 | 8 | 2017 |
The finite-skip method for multiserver analysis I Grosof, M Harchol-Balter, A Scheller-Wolf arXiv preprint arXiv:2109.12663, 2021 | 5 | 2021 |
Automated decision support for financial regulatory/policy compliance, using textual rulelog B Grosof, J Bloomfield, P Fodor, M Kifer, I Grosof, M Calejo, T Swift Financial Times, 2014 | 5 | 2014 |
Open problem—M/G/k/SRPT under medium load I Grosof Stochastic Systems 9 (3), 297-298, 2019 | 3 | 2019 |
Optimal Scheduling in Multiserver Queues I Grosof ACM SIGMETRICS Performance Evaluation Review 51 (3), 29-32, 2024 | 2 | 2024 |
Heavy-Traffic Optimal Size-and State-Aware Dispatching R Xie, I Grosof, Z Scully Proceedings of the ACM on Measurement and Analysis of Computing Systems 8 (1 …, 2024 | 1 | 2024 |
Convergence for Natural Policy Gradient on Infinite-State Average-Reward Markov Decision Processes I Grosof, ST Maguluri, R Srikant arXiv preprint arXiv:2402.05274, 2024 | 1 | 2024 |