Performance analysis of peer-to-peer networks based on two-phase service queuing theory
by Fengjiao Liu; Zhanyou Ma; Qiannan Si; Miao Yan
International Journal of Communication Networks and Distributed Systems (IJCNDS), Vol. 27, No. 4, 2021

Abstract: Peer-to-peer (P2P) network gains enormous popularity in recent years. In order to reduce the cost generated by nodes online, the strategy of multiple synchronous working vacations of partial servers is introduced. Aiming at the service mechanism of nodes in the network, a three dimensional continuous time Markov stochastic model with two phases of service is established. The steady-state analysis of the network model is carried out by using the method of matrix-geometric solution and Gauss-Seidel iterative method based on the observable queuing rules. The expression of the indicators such as the mean sojourn time and expected length of the requesting nodes are obtained. In addition, the online cost of P2P network nodes is analysed. The influences of system parameters on each performance indicator are analysed through numerical experiments. Finally, the benefit function is constructed to obtain the optimal social parameters.

Online publication date: Mon, 29-Nov-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Communication Networks and Distributed Systems (IJCNDS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com