Queueing networks please some experts help me

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The discussion centers on the evaluation of steady-state behavior in queueing networks with finite buffers and a "blocking after service" policy for a Ph.D. thesis. The focus is on deterministic arrival and service rates in D/D/1 queues, particularly addressing bottlenecks where service times exceed inter-arrival times, leading to increased effective service times for upstream nodes. The author seeks analytical resources for calculating effective service times, especially for merge and splitting queueing nodes. Recommendations for relevant literature include specific books that may provide useful insights and expressions for the analysis. The conversation highlights the need for expert guidance on complex queueing network dynamics.
Gabriele
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Queueing networks...please some experts help me!

Hello to everyone.

I have a question concerning Queuing Theory and in particular Queueing Networks. For my Ph.D thesis I need to evaluate the steady state behavior of queueing networks featuring finite buffers between nodes and "blocking after service" policy. For simplicity, I'm in the particular case in which the arrival rate and the service rate of each node can be considered "deterministic" (i.e. each node is a D/D/1 queue with finite buffer of K positions).

Now, some queueing nodes can be bottlenecks. A bottleneck in this case means that its service time is greater than its inter-arrival time yields to an utilization factor of the node higher than 1. In this case, due to the bottleneck presence, upstream nodes will be blocked and their effective service times are higher than their corresponding theoretical (ideal) ones.

I need to known where I can find some analytical threatment of such kind of networks. Especially I need to found proper expressions in order to calculate the effective service time of each node of the network, mainly in the case of merge queueing nodes (nodes with multiple in-coming connections with other nodes) and splitting stations (nodes with multiple out-going arcs and a routing probability among them).

Do you know something about this?

Thanks

Gabriele
 
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