A Closed Queueing Network with Strategic Service Differentiation

2019 ◽  
pp. 149-165
Author(s):  
Michal Benelli ◽  
Refael Hassin
Keyword(s):  
Queueing Network ◽  
Service Differentiation ◽  
Closed Queueing Network

scholarly journals Blending randomness in closed queueing network models

2014 ◽  
Vol 82 ◽  
pp. 15-38 ◽  
Author(s):  
Giuliano Casale ◽  
Mirco Tribastone ◽  
Peter G. Harrison
Keyword(s):  
Queueing Network ◽  
Network Models ◽  
Closed Queueing Network ◽  
Queueing Network Models

Closed Queueing Network Models of Interacting Long-Lived TCP Flows

2004 ◽  
Vol 12 (2) ◽  
pp. 300-311 ◽  
Author(s):  
M. Garetto ◽  
R. LoCigno ◽  
M. Meo ◽  
M. AjmoneMarsan
Keyword(s):  
Queueing Network ◽  
Network Models ◽  
Closed Queueing Network ◽  
Queueing Network Models

Uniform conditional variability ordering of probability distributions

1985 ◽  
Vol 22 (03) ◽  
pp. 619-633 ◽  
Author(s):  
Ward Whitt
Keyword(s):  
Probability Distribution ◽  
Real Line ◽  
Convex Functions ◽  
Probability Distributions ◽  
Stochastic Order ◽  
Queueing Network ◽  
Network Models ◽  
Scalar Multiplication ◽  
Closed Queueing Network ◽  
The Real

Variability orderings indicate that one probability distribution is more spread out or dispersed than another. Here variability orderings are considered that are preserved under conditioning on a common subset. One density f on the real line is said to be less than or equal to another, g, in uniform conditional variability order (UCVO) if the ratio f(x)/g(x) is unimodal with the model yielding a supremum, but f and g are not stochastically ordered. Since the unimodality is preserved under scalar multiplication, the associated conditional densities are ordered either by UCVO or by ordinary stochastic order. If f and g have equal means, then UCVO implies the standard variability ordering determined by the expectation of all convex functions. The UCVO property often can be easily checked by seeing if f(x)/g(x) is log-concave. This is illustrated in a comparison of open and closed queueing network models.

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