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David Shmoys

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Harmony: A Congestion-free Datacenter Architecture21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24)2024-04-16
Claims a datacenter architecture that guarantees bounded queueing at each switch so messages once sent observe a worst‑case delay and no congestion‑related…
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Rebalancing in Bike-Sharing Systems – Incentives and Other StoriesReal-Time Decision Making 20182018-04-30
Station performance is modeled with Poisson flows and each station as a continuous-time Markov chain so the cost is the expected number of stock-outs over the…
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Operating Bike-Sharing Systems – A Case Study in Real-Time Decision MakingReal-Time Decision Making Boot Camp, Spring 20182018-01-22
Citi Bike data-driven work models stations as time-varying Poisson flows and computes a user dissatisfaction function (expected stock-outs) from 30-minute…
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Improved Approximation Algorithms for the TSP and S-t-path TSPDiscrete Optimization via Continuous Relaxation2017-09-11
Survey of concrete advances: metric TSP stays at 3/2 for tours while the S–T path gap drops from Hoogeveen’s 5/3 using a concrete algorithmic recipe: solve the…
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Smarter Tools for (Citi)Bike-SharingOptimization and Decision-Making Under Uncertainty (Simons Institute, September 2016)2016-09-19
City bike-share demand gets modeled as Poisson arrival/return rates per station, then time-sliced into half-hour periods and analyzed with a stochastic dynamic…
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Smarter Tools for (Citi)Bike-SharingReal-Time Decision Making2016-07-01
City bike data (≈7,000 bikes, 14.5k docks, ≈400 stations, 1.2M trips/month) drives a model that minimizes expected unhappy users (arrive-to-rent with no bike…
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