Performance analysis of an Mx/G/1 feedback retrial queue with non-persistent customers and multiple vacations with N-policy Online publication date: Fri, 28-Apr-2017
by V. Jailaxmi; R. Arumuganathan; A. Rathinasamy
International Journal of Operational Research (IJOR), Vol. 29, No. 2, 2017
Abstract: This paper is concerned with the analysis of an Mx/G/1 feedback retrial queue with non-persistent customers and multiple vacations with N-policy. If an arriving batch of customers finds the server idle, one of the arriving customers starts its service immediately and the rest joins a retrial group. Otherwise, if an arriving batch of customers on arrival finds the server busy, becomes impatient and leaves the system with probability (1 - α) and with probability α, they enter into the orbit. At a service completion epoch, if the number of customers in the orbit is zero, the server does a secondary job (vacation) repeatedly until the retrial group size reaches N. At the secondary job completion epoch, if the orbit size is at least N, then the server remains in the system to render service for customers from main pool or from retrial group. At a service completion epoch, the leaving customer may either request for another service with probability f or leave the system forever with probability d (where f + d = 1).
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Operational Research (IJOR):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook