Ergodic control of resource sharing networks: lower bound on asymptotic costs
Author:
Funder
NSF-DMS
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11134-024-09916-z.pdf
Reference27 articles.
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3. Bell, S.L., Williams, R.J.: Dynamic scheduling of a system with two parallel servers in heavy traffic with resource pooling: asymptotic optimality of a threshold policy. Ann. Appl. Probab. 11(3), 608–649 (2001)
4. Bell, S.L., Williams, R.J.: Dynamic scheduling of a parallel server system in heavy traffic with complete resource pooling: Asymptotic optimality of a threshold policy. Electron. J. Probab. 10, 1044–1115 (2005)
5. Wiley Series in Probability and Statistics: Probability and Statistics;P Billingsley,1999
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