Article Contents
Article Contents

# Single server retrial queues with speed scaling: Analysis and performance evaluation

• * Corresponding author
The reviewing process of the paper was handled by Wuyi Yue and Yutaka Takahashi as Guest Editors.
• Recently, queues with speed scaling have received considerable attention due to their applicability to data centers, enabling a better balance between performance and energy consumption. This paper proposes a new model where blocked customers must leave the service area and retry after a random time, with retrial rate either varying proportionally to the number of retrying customers (linear retrial rate) or non-varying (constant retrial rate). For both, we first study a basic case and then subsequently incorporate the concepts of a setup time and a deactivation time in extended versions of the model. In all cases, we obtain a full characterization of the stationary queue length distribution. This allows us to evaluate the performance in terms of the mentioned balance between performance and energy, using an existing cost function as well as a newly proposed variant thereof. This paper presents the derivation of the stationary distribution as well as several numerical examples of the cost-based performance evaluation.

Mathematics Subject Classification: Primary: 68M20, 60K25; Secondary: 90B22.

 Citation:

• Figure 1.  Transitions among states.

Figure 2.  Transitions among states.

Figure 3.  Transitions among states.

Figure 4.  Transitions among states.

Figure 5.  Cost $z$ as function of the service rate $\mu$

Figure 6.  Cost $z$ as function of the service rate $\mu$

Figure 7.  Cost $z$ as function of the service rate $\mu$

Figure 8.  Cost $y$ (second cost function) as function of the service rate $\mu$

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