TITLE:
Improving Queuing System Throughput Using Distributed Mean Value Analysis to Control Network Congestion
AUTHORS:
Faisal Shahzad, Muhammad Faheem Mushtaq, Saleem Ullah, M. Abubakar Siddique, Shahzada Khurram, Najia Saher
KEYWORDS:
Network Congestion, Throughput, Queuing System, Distributed Mean Value Analysis
JOURNAL NAME:
Communications and Network,
Vol.7 No.1,
February
2,
2015
ABSTRACT: In this paper, we have used the distributed
mean value analysis (DMVA) technique with the help of random observe property
(ROP) and palm probabilities to improve the network queuing system throughput.
In such networks, where finding the complete communication path from source to
destination, especially when these nodes are not in the same region while
sending data between two nodes. So, an algorithm is developed for single and
multi-server centers which give more interesting and successful results. The
network is designed by a closed queuing network model and we will use mean
value analysis to determine the network throughput (b) for its
different values. For certain chosen values of parameters involved in this
model, we found that the maximum network throughput for β≥0.7remains consistent in
a single server case, while in multi-server case for β≥ 0.5throughput surpass the
Marko chain queuing system.