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Asymptotic Diffusion Analysis of a Queueing System MX/G/1 with Collisions and Unreliable Servers in the Process of Communication

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Proceedings of International Conference on Network Security and Blockchain Technology (ICNSBT 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 738))

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Abstract

Given the rapid increase in traffic on the current communications infrastructure, such as the Online World, it is imperative for consumers to understand how these systems are developed swiftly and successfully scheduled to their servers. This study focuses on how we can accomplish this using the queuing theory currently in use. This article also covers current and comprehensive information on the use of queuing techniques in fields including load balancing, mobility management, and improving traffic flows on the current Internet infrastructure. The problem is transformed into a non-Markovian mathematical queuing model, and auxiliary variables are used to solve it. The queuing issue that arises from the aforementioned subsequent outcomes is resolved by the supplemental variable technique. Estimates are made for the throughput, server latency, use, and probability output factors for each operating method. Mathematical software was used to do numerical analysis on specific examples. Because it is used frequently and uses a statistical demarcation method, this tactic is completely acceptable. Exact computations of the seeming limitations are provided by the graphical representation of this perspective.

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Correspondence to S. Maragathasundari .

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Vanalakshmi, R., Maragathasundari, S., Balamurugan, B., Kameswari, M., Swedheetha, C. (2024). Asymptotic Diffusion Analysis of a Queueing System MX/G/1 with Collisions and Unreliable Servers in the Process of Communication. In: Mandal, J.K., Jana, B., Lu, TC., De, D. (eds) Proceedings of International Conference on Network Security and Blockchain Technology. ICNSBT 2023. Lecture Notes in Networks and Systems, vol 738. Springer, Singapore. https://doi.org/10.1007/978-981-99-4433-0_24

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  • DOI: https://doi.org/10.1007/978-981-99-4433-0_24

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  • Publisher Name: Springer, Singapore

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  • Online ISBN: 978-981-99-4433-0

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