Can Machines Solve General Queueing Problems?
Author:
Affiliation:
1. Rotman School of Management University of Toronto,Toronto,CANADA,M5S 3E6
2. School of Information Technology York University,Toronto,CANADA,M3J 1P3
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10015196/10015230/10015451.pdf?arnumber=10015451
Reference14 articles.
1. Uniting Simulation and Machine Learning For Response Time Prediction In Processor Sharing Queues
2. A minimal representation of Markov arrival processes and a moments matching method
3. A Fast Simulation Model Based on Lindley’s Recursion for the G/G/1/K Queue
4. Gandiva: Introspective Cluster Scheduling for Deep Learning;xiao;In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18),2018
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