On the Capacity of Information Processing Systems

DOI10.1287/opre.2017.1680zbMath1442.90052arXiv1603.00544OpenAlexW2963787128MaRDI QIDQ4969342

Laurent Massoulié, Kuang Xu

Publication date: 5 October 2020

Published in: Operations Research (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1603.00544

zbMATH Keywords

hypothesis testingfluid modelstochastic resource allocationinformation processing system

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Queues and service in operations research (90B22) Resource and cost allocation (including fair division, apportionment, etc.) (91B32)

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Cites Work

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• State space collapse with application to heavy traffic limits for multiclass queueing networks
• On positive Harris recurrence of multiclass queueing networks: A unified approach via fluid limit models
• Heavy traffic resource pooling in parallel-server systems
• Ergodicity of stochastic processes describing the operation of open queueing networks
• Structural properties of proportional fairness: stability and insensitivity
• Fluid Models for Overloaded Multiclass Many-Server Queueing Systems with First-Come, First-Served Routing
• Sequential Design of Experiments
• Investment Timing with Incomplete Information and Multiple Means of Learning
• Flexible Queueing Architectures
• Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems
• Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks
• Sequential Tests of Statistical Hypotheses

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