Optimal Analysis of a Queuing Model Based Communication Network
N. Thirupathi Rao1, Debnath Bhattacharyya2, V. Madhusudhan Rao3, K. Srinivasa Rao4, P. Srinivasa Rao5, Tai-hoon Kim6
1N. Thirupathi Rao, Department of Computer Science and Engineering, Vignan’s Institute of Information Technology (A) Visakhapatnam, AP, India.
2Debnath Bhattacharyya, Department of Computer Science and Engineering, Vignan’s Institute of Information Technology (A) Visakhapatnam, AP, India.
3V. Madhusudhan Rao, Department of Chemical Engineering, Vignan’s Foundation for Science, Technology and Research (Deemed to be University), Vadlamudi, Guntur-522213, India.
4K. Srinivasa Rao, Department of Statistics, Andhra University Visakhapatnam, AP, India.
5P. Srinivasa Rao, Department of Computer Science & Systems Engineering, AUCE (A), Andhra University Visakhapatnam, AP, India.
6Tai-hoon Kim, Department of Computing and IT, University of Tasmania, Churchill Ave, Hobart TAS 7005, Australia.
Manuscript received on 21April 2019 | Revised Manuscript received on 27 May 2019 | Manuscript published on 30 May 2019 | PP: 1827-1833 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3044058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Queuing model based communication network models development was increasing a lot in the recent days. The actual setup of the network and analyzing the performance of such networks are becoming the tough part day to day observations. Hence, the authors now a day’s tries to model the communication network models in the form a queuing model and trying to analyze the performance of such networks. In the similar fashion, in current article also, the authors tried to develop a communication network model such that to analyze the performance. The arrivals considered for the model are the compound Poisson arrivals and the form of the arrivals is in bulk. The current network model considered is having the two stage arrivals and the performance was analyzed in the form of tables and graphical representations. Numerical representations are displayed to examine the impact of changes in input parameters on framework execution measures. With reasonable cost contemplations, the ideal working strategies of the communication networks are determined and broke down. It is watched that the compound Poisson binomial mass landings dissemination parameters have noteworthy impact on framework execution measures. Dissecting the two phase coordinate landings enhance the system execution and diminish clog in cradles and mean postponements.
Keywords: Optimal Performance, Network, Communication, bulk Arrivals, Bandwidth, Dynamic Bandwidth, Communication Networks, Utilization, Loss of Packets, Queuing Models.
Scope of the Article: Foundations of Communication Networks