scholarly journals A discrete-time Markov-modulated queuing system with batched arrivals

2010 ◽  
Vol 67 (5) ◽  
pp. 376-385 ◽  
Author(s):  
Richard G. Clegg
2008 ◽  
Vol 47 (11-12) ◽  
pp. 1246-1253 ◽  
Author(s):  
Subrata Saha ◽  
Attahiru Sule Alfa

Automatica ◽  
2003 ◽  
Vol 39 (8) ◽  
pp. 1339-1351 ◽  
Author(s):  
G. Yin ◽  
Q. Zhang

1996 ◽  
Vol 10 (3) ◽  
pp. 429-441 ◽  
Author(s):  
Woo-Yong Choi ◽  
Chi-Hyuck Jun

We propose a new approach to the analysis of a discrete-time queueing system whose input is generated by a Markov-modulated process and whose service rate is constant. Renewal cycles are identified and the system state on each renewal cycle is modeled as a one-dimensional Markov chain.


2013 ◽  
Vol 49 (4) ◽  
pp. 578-583
Author(s):  
I. N. Kovalenko ◽  
E. V. Koba ◽  
O. N. Dyshliuk

2004 ◽  
Vol 18 (2) ◽  
pp. 191-217 ◽  
Author(s):  
Matthew Andrews ◽  
Krishnan Kumaran ◽  
Kavita Ramanan ◽  
Alexander Stolyar ◽  
Rajiv Vijayakumar ◽  
...  

We consider the following queuing system which arises as a model of a wireless link shared by multiple users. There is a finite number N of input flows served by a server. The system operates in discrete time t = 0,1,2,…. Each input flow can be described as an irreducible countable Markov chain; waiting customers of each flow are placed in a queue. The sequence of server states m(t), t = 0,1,2,…, is a Markov chain with finite number of states M. When the server is in state m, it can serve μim customers of flow i (in one time slot).The scheduling discipline is a rule that in each time slot chooses the flow to serve based on the server state and the state of the queues. Our main result is that a simple online scheduling discipline, Modified Largest Weighted Delay First, along with its generalizations, is throughput optimal; namely, it ensures that the queues are stable as long as the vector of average arrival rates is within the system maximum stability region.


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