5 citations · 20 across the 20 of their papers we have counts for
20 papers
Stationary Performance Analysis of Grishechkin Processor-Sharing Queues: An Integral Equation Approach
Yingdong Lu
We compute the stationary performance metrics of a single server queue under a class of generalized processor-sharing scheduling policies that are proposed by Grishechkin…
A Fluid Limit for Processor-Sharing Queues Weighted by Functions of Remaining Amounts of Service
Yingdong Lu
We study a single server queue under a processor-sharing type of scheduling policy, where the weights for determining the sharing are given by functions of each job's remaining ser…
Optimal Scheduling Control in Fluid Models of General Input-Queued Switches
Yingdong Lu, Mark S. Squillante, Tonghoon Suk
Most of the early input-queued switch research focused on establishing throughput optimality of the max-weight scheduling policy, with some recent research showing that max-weight…
A Stochastic Knapsack Game: Revenue Management in Competitions
Yingdong Lu
We study a mathematical model for revenue management under competition with multiple sellers. The model combines the stochastic knapsack problem, a classic revenue management model…
On Heavy-Traffic Optimal Scaling of -Weighted MaxWeight Scheduling in Input-Queued Switches
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante +1
We consider the optimal control of input-queued switches under a cost-weighted variant of MaxWeight scheduling, for which we establish theoretical properties that include showing t…
A General Markov Decision Process Framework for Directly Learning Optimal Control Policies
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
We consider a new form of reinforcement learning (RL) that is based on opportunities to directly learn the optimal control policy and a general Markov decision process (MDP) framew…