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Reseach Article

Three Node Tandem Communication Network Model with Dynamic Bandwidth Allocation and Non Homogeneous Poisson Arrivals

by M.V.Rama Sundari, K.Srinivas Rao, P.Srinivasa Rao, P.Suresh Varma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 31 - Number 1
Year of Publication: 2011
Authors: M.V.Rama Sundari, K.Srinivas Rao, P.Srinivasa Rao, P.Suresh Varma
10.5120/3789-5217

M.V.Rama Sundari, K.Srinivas Rao, P.Srinivasa Rao, P.Suresh Varma . Three Node Tandem Communication Network Model with Dynamic Bandwidth Allocation and Non Homogeneous Poisson Arrivals. International Journal of Computer Applications. 31, 1 ( October 2011), 19-27. DOI=10.5120/3789-5217

@article{ 10.5120/3789-5217,
author = { M.V.Rama Sundari, K.Srinivas Rao, P.Srinivasa Rao, P.Suresh Varma },
title = { Three Node Tandem Communication Network Model with Dynamic Bandwidth Allocation and Non Homogeneous Poisson Arrivals },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 31 },
number = { 1 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 19-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume31/number1/3789-5217/ },
doi = { 10.5120/3789-5217 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:16:59.810708+05:30
%A M.V.Rama Sundari
%A K.Srinivas Rao
%A P.Srinivasa Rao
%A P.Suresh Varma
%T Three Node Tandem Communication Network Model with Dynamic Bandwidth Allocation and Non Homogeneous Poisson Arrivals
%J International Journal of Computer Applications
%@ 0975-8887
%V 31
%N 1
%P 19-27
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Communication networks create lot of interest due to their ready applicability in performance evaluation of several communication systems. In communication systems it is customary to consider that the arrivals are characterized by Poisson process. This assumption holds good if the arrivals are homogeneous and independent of time. But in many tele and satellite communication systems the arrivals are non homogeneous and the arrival rate is time dependent. Hence, in this paper we develop and analyze a three node communication network model with the assumption that the arrivals are characterized by non homogeneous Poisson process. It is further assumed that transmission time required by each packet at each node is dependent on the content of the buffer connected to it. The transient behavior of the network model is analyzed by deriving the system performance measures like mean number of packets in each buffer, mean delay in transmission, the throughput of the nodes, utilization of transmitters, etc,. The sensitivity analysis of the model reveals that the non homogeneous Poisson arrivals and dynamic bandwidth allocation strategy can reduce burstness in buffer and improve quality of service. A comparative study of communication network with non homogeneous Poisson arrivals and Poisson arrivals is also given.

References
  1. Dinda P.A.,(2006), Design, Implementation and performance of an Extensible toolkit in resource prediction in Distributed systems, IEEE Transactions on Parallel and Distributed systems, vol.17, no.2, pp.160-173.
  2. Huang, Scott C.H, Chang, Shih Yu,(2010), Analysis and design of a novel randomized Broadcast algorithm for scalable Wireless Networks in the Interference Channels, IEEE Transactions on Wireless Communications, Vol.9, No.7, pp.2206-2215
  3. Javadi B., J. H. Abawajy and M. K. Akban (2007), A comprehensive Analytical model of interconnection Network in large scale cluster systems, concurrency and computation practice and Experience, Vol.20, No.1, pp.75-97.
  4. Kin K Leung (2002), Load dependent service queues with application to congestion control in broadband Networks, performance evaluation, vol. 50, issue 1-4, pp. 27-40.
  5. Kleinrock L., (1976), Queuing system, vol.II, Computer Applications, wiley publications, Newyork.
  6. Nageswara Rao K., K. Srinivas Rao, P Srinivasa Rao (2010), A tandem communication Network with Dynamic Bandwidth Allocation and modified phase type transmission having Bulk arrivals, International Journal of Computer science Issues, vol.7, no.3, pp 18-26.
  7. Padmavathi G., K. Srinivas Rao, KVVS Reddy (2009), Performance Evaluation of parallel and series communication Network with Dynamic Bandwidth Allocation, CIIT International Journal of Networking and communication Engineering Vol.1, No. 7, pp 410-421.
  8. Srinivasa Rao K., Vasanta M.R., and Vijaya kumar C.V.R.S.,(2000), On an interdependent communication network, ,Opsearch vol.37, no.2, pp 134-143.
  9. Srinivasa Rao, K., Prasad Reddy, P.V.G.D. and Suresh Varma,P. (2006), Interdependent Communication Network with bulk arrivals, International Journal of Management and Systesms,Vol.22, No.3, pp 221-234.
  10. Sriram K.(1993), Methodologies for bandwidth allocation, transmission scheduling and congestion control avoidance in broadband ATM Networks, computer Network , ISDN system, j.26, pp. 43-59
  11. Suresh Varma P., K. Srinivas Rao (2007), A Communication Network with load dependent Transmission, International Journal of Mathematical Sciences, vol.6, no.2, pp 199-210.
  12. Yulei Wu, Geyong Min, Keqin Li and Bahman Javadi (2009), Performance Analysis of communication Network in multi-cluster systems under bursty traffic with communication locality, Proceedings of IEEE “GLOBECOM”, pp.1-6
  13. Yukuo Hayashida (1993), Throughput analysis of tandem type go-back NARQ scheme for satellite communications, IEEE Transactions on communication, vol.41, pp 1517-1524.
Index Terms

Computer Science
Information Sciences

Keywords

Communication Networks Dynamic Bandwidth Allocation non homogeneous Poisson Process