Queuing Theory in Cloud Computing and Network Performance Optimization

Authors

  • Sushil Bhattarai, Kripa Sindhu Prasad, Krishna Bahadur Thapa, Arun Kumar Chaudhary, Puspa Raj Ojha, Suresh Kumar Sahani, Garima Sharma

Keywords:

Queuing Theory, Cloud Computing, Performance Optimization, Quality of Service (QoS).

Abstract

The provisioning and administration of computer resources have been substantially altered as a result of cloud computing, which provides scalability, cost-efficiency, and on-demand access to resources. On the other hand, ensuring Quality of Service (QoS) in cloud settings continues to be a significant challenge,particularly with regard to response time, throughput, and resource utilization.

References

• Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58.

• Beloglazov, A., & Buyya, R. (2012). Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers. Concurrency and Computation: Practice and Experience, 24(13), 1397-1420.

• Khazaei, H., Misic, J., & Misic, V. B. (2012). Performance analysis of cloud computing centers using M/G/m/m+r queuing systems. IEEE Transactions on Parallel and Distributed Systems, 23(5), 936-943.

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Published

2025-01-01

How to Cite

Sushil Bhattarai, Kripa Sindhu Prasad, Krishna Bahadur Thapa, Arun Kumar Chaudhary, Puspa Raj Ojha, Suresh Kumar Sahani, Garima Sharma. (2025). Queuing Theory in Cloud Computing and Network Performance Optimization . Journal of Computational Analysis and Applications (JoCAAA), 34(1), 394–401. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2011

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