Efficient Cloud Task Scheduling Framework Based on M/M/N Queueing Optimization

Authors

  • Zaid Sabeeh 1 Department of Cybersecurity, College of Sciences, Al-Esraa University,
  • E. I. Elsedimy Department of Information Technology Management, Faculty of Management Technology and Information Systems, Port Said University
  • Ahmad Hailan College of Computer Science and Mathematics, Thi Qar University
  • Nabaa Abd State Commission on Survey, Ministry of Water Resources

DOI:

https://doi.org/10.19139/soic-2310-5070-3969

Keywords:

Cloud Computing, Task Scheduling, M/M/N model, Virtual Machine, Workload distribution

Abstract

Task scheduling in the cloud data center is an optimization problem that aims to improve the resource utilization and hence reduces the response time. It faces challenges in assigning tasks to a suitable virtual machine such as throughput, waiting time and degree of imbalance. This paper presents a multi-objective algorithm for task scheduling problem based a novel M/M/N optimization model. The goal is to identify the optimal task scheduling strategy that 1) decreases response time by minimizing the volume of pending requests; 2) mitigates performance degradation by maintaining the service level agreement (SLA) at the desired standard; and 3) enhances load balancing by ensuring servers operate at optimal utilization levels. The results show that the proposed algorithm has better results in response time, throughput and load imbalance when compared to other existing algorithms.

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Published

2026-07-03

How to Cite

Sabeeh, Z., Elsedimy, E. I., Hailan, A., & Abd, N. (2026). Efficient Cloud Task Scheduling Framework Based on M/M/N Queueing Optimization. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-3969

Issue

Online First

Section

Research Articles

Categories

License

Copyright (c) 2026 Zaid Sabeeh, E. I. Elsedimy, Ahmad Hailan, Nabaa Abd

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