Optimality of the shortest line discipline with state-dependent service rates
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Publication:1122239
DOI10.1016/0377-2217(89)90378-0zbMath0675.60084OpenAlexW1973362606MaRDI QIDQ1122239
Publication date: 1989
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0377-2217(89)90378-0
Queueing theory (aspects of probability theory) (60K25) Queues and service in operations research (90B22)
Related Items (16)
Resource allocation and routing in parallel multi-server queues with abandonments for cloud profit maximization ⋮ Bad luck when joining the shortest queue ⋮ Dynamic routing in distinguishable parallel queues: an application of product returns for remanufacturing ⋮ Optimal control of multiclass parallel service systems ⋮ Scalable Load Balancing in Networked Systems: A Survey of Recent Advances ⋮ Optimal Routing of Fixed Size Jobs to Two Parallel Servers ⋮ Dynamic priority allocation via restless bandit marginal productivity indices ⋮ Performance Analysis of Joining the Shortest Queue Model Among a Large Number of Queues ⋮ Dynamic routing in a distributed parallel many-server service system: the effect of \(\xi \)-choice ⋮ Marginal Productivity Index Policies for Admission Control and Routing to Parallel Multi-server Loss Queues with Reneging ⋮ A survey of Markov decision models for control of networks of queues ⋮ Asymptotic Optimality of Power-of-d Load Balancing in Large-Scale Systems ⋮ DYNAMIC ROUTING OF CUSTOMERS WITH GENERAL DELAY COSTS IN A MULTISERVER QUEUING SYSTEM ⋮ Multiple-server system with flexible arrivals ⋮ On the Shortest Queue Policy for the Tandem Parallel Queue ⋮ Partial Flexibility in Routeing and Scheduling
Cites Work
- Stochastically minimizing the number of customers in exponential queueing systems
- Deciding Which Queue to Join: Some Counterexamples
- A simple dynamic routing problem
- Applying a New Device in the Optimization of Exponential Queuing Systems
- Optimality of the shortest line discipline
- On the optimal assignment of customers to parallel servers
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