Analysis of Some Communication-Related Queuing System Modeling and Performance
Abstract
The paper presents research into the analysis of queuing systems in the context of communication, with the goal of creating precise models and evaluating their efficacy. The importance of queueing systems cannot be overstated in fields as disparate as telecommunications, computer networks, and the service sector. Analyzing how these systems function allows us to better allocate resources, boost performance, and provide a better experience for end users. The main goals are to create mathematical models that precisely capture the queuing behavior and to assess the effectiveness of these models in terms of metrics like queue length, waiting time, and system utilization. To do so, it is necessary to perform an extensive analysis of the relevant literature and theoretical frameworks. The properties of communication-related systems are examined, and many queuing models, including the M/M/1, M/M/c, and M/G/1, are modified accordingly. In addition, simulation methods are used to verify the accuracy of the suggested models and assess how they would fare in practical applications. The research yields useful information on the dynamics of queuing systems used in the field of communication. They show how changes to the arrival rate, service rate, and number of servers affect the system's most important performance indicators. Different scheduling policies, routing tactics, and resource allocation methodologies are also investigated to determine their impact on system performance.
References
Bounkhel, M., Tadj, L. and Hedjar, R., (2019). Steady-state analysis of a flexible Markovian queue with server breakdowns. Entropy, 21(3), p.259.
Liu, Z., Wu, J., & Yang, G. (2009). An M/G/1 retrial G-queue with preemptive resume and feedback under N-policy subject to the server breakdowns and repairs. Computers & Mathematics with Applications, 58(9), 1792-1807.
Iftikhar, M., Al Elaiwi, N., & Aksoy, M. S. (2014). Performance analysis of priority queuing model for low power wireless body area networks (WBANs). Procedia Computer Science, 34, 518-525.
Latré, B., Braem, B., Moerman, I., Blondia, C. and Demeester, P., 2011. A survey on wireless body area networks. Wireless networks, 17, pp.1-18.
Yuce, M. R. (2010). Implementation of wireless body area networks for healthcare systems. Sensors and Actuators A: Physical, 162(1), 116-129.
Tyagi, H.; Kumar, R. Cloud Computing for IoT. In Internet of Things (IoT); Springer: Berlin, Germany, 2020; pp. 25–41.
Koulouzis, S.; Martin, P.; Zhou, H.; Hu, Y.; Wang, J.; Carval, T.; Grenier, B.; Heikkinen, J.; De Laat, C.; Zhao, Z. Time-critical data management in clouds: Challenges and a Dynamic Real-Time Infrastructure Planner (DRIP) solution. Concurr. Comput. Pract. Exp. 2020, 32, e5269.
Tariq, A.; Pahl, A.; Nimmagadda, S.; Rozner, E.; Lanka, S. Sequoia: Enabling quality-of-service in serverless computing. In Proceedings of the 11th ACM Symposium on Cloud Computing, New York, NY, USA, 19–21 October 2020; pp. 311–327.
Ding, Z.; Wang, S.; Pan, M. QoS-Constrained Service Selection for Networked Microservices. IEEE Access 2020, 8, 39285–39299.
Luo, S.; Yu, H.; Li, K.; Xing, H. Efficient file dissemination in data center networks with priority-based adaptive multicast. IEEE J. Sel. Areas Commun. 2020, 38, 1161–1175.
Chaisiri, S.; Lee, B.; Niyato, D. Optimization of Resource Provisioning Cost in Cloud Computing. IEEE Trans. Serv. Comput. 2012, 5, 164–177.
Bolze, R.; Cappello, F.; Caron, E.; Daydé, M.; Desprez, F.; Jeannot, E.; Jégou, Y.; Lanteri, S.; Leduc, J.; Melab, N.; et al. Grid’5000: A large scale and highly reconfigurable experimental grid testbed. Int. J. High Perform. Comput. Appl. 2006, 20, 481–494.
Zheng, L.; Zhang, L. Modeling and performance analysis for IP traffic with multi-class QoS in VPN. In Proceedings of the MILCOM 2000 Proceedings. 21st Century Military Communications. Architectures and Technologies for Information Superiority (Cat. No. 00CH37155), Los Angeles, CA, USA, 22–25 October 2000; Volume 1, pp. 330–334.
Ragesh, G.K. and Baskaran, K., 2012. An overview of applications, standards and challenges in futuristic wireless body area networks. International Journal of Computer Science Issues (IJCSI), 9(1), p.180.
Jovanov, E., & Milenkovic, A. (2011). Body area networks for ubiquitous healthcare applications: opportunities and challenges. Journal of medical systems, 35, 1245-1254.
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