We consider an access link carrying data generated by streaming and elastic services requested by fixed or mobile end users, and subjected to an admission control (AC) algorithm. For the performance analysis of such link we develop a new queuing model and we show that, with the considered AC, the queuing model admits a product form expression for the joint limiting probability distribution of the numbers of active services of the different types. In addition, we prove that, when mobility can be neglected, i.e., in the case of either fixed access or slow mobility, the queuing model is insensitive to the distribution of the amount of data to be transferred for the fulfillment of the different service requests. Numerical results show unexpected oscillating behaviors for several performance metrics, and provide interesting insight into the link performance.
Queuing models of links carrying streaming and elastic services / Marin, Andrea; Ajmone Marsan, Marco; Meo, Michela; Sereno, Matteo. - In: COMPUTER NETWORKS. - ISSN 1389-1286. - 244:(2024), pp. 1-14. [10.1016/j.comnet.2024.110306]
Queuing models of links carrying streaming and elastic services
Ajmone Marsan, Marco;Meo, Michela;
2024
Abstract
We consider an access link carrying data generated by streaming and elastic services requested by fixed or mobile end users, and subjected to an admission control (AC) algorithm. For the performance analysis of such link we develop a new queuing model and we show that, with the considered AC, the queuing model admits a product form expression for the joint limiting probability distribution of the numbers of active services of the different types. In addition, we prove that, when mobility can be neglected, i.e., in the case of either fixed access or slow mobility, the queuing model is insensitive to the distribution of the amount of data to be transferred for the fulfillment of the different service requests. Numerical results show unexpected oscillating behaviors for several performance metrics, and provide interesting insight into the link performance.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2996492