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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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An enhanced round robin using dynamic time quantum for real-time asymmetric burst length processes in cloud computing

Most Fatematuz Zohora1, Fahiba Farhin2, M Shamim Kaiser3

  • 1Computer Science and Engineering, Bangladesh Army International University of Science and Technology, Cumilla, Bangladesh.

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|August 15, 2024
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Summary

This study introduces an enhanced Round Robin algorithm for cloud computing task scheduling. The dynamic quantum time approach minimizes waiting and turnaround times, outperforming existing methods.

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Area of Science:

  • Computer Science
  • Cloud Computing
  • Algorithm Optimization

Background:

  • Cloud computing offers dynamic, on-demand services, necessitating efficient task scheduling for optimal performance.
  • Virtual machine resource allocation is critical for cloud environments, with task scheduling playing a pivotal role.
  • The Round Robin algorithm is a common method for resource distribution, aiming to minimize response and turnaround times.

Purpose of the Study:

  • To introduce a novel enhanced Round Robin algorithm for task scheduling in cloud computing systems.
  • To address the challenge of dynamic task execution and resource sharing in cloud environments.
  • To improve upon existing scheduling algorithms by dynamically adjusting quantum time.

Main Methods:

  • Developed a new enhanced Round Robin algorithm that dynamically generates and updates quantum time.
  • Algorithm considers the number of processes and their burst lengths for dynamic quantum time calculation.
  • The approach is designed for real-time environments and handles asymmetric burst time distributions, mitigating the convoy effect.

Main Results:

  • The proposed algorithm demonstrated superior performance compared to existing enhanced Round Robin methods.
  • Achieved significant reductions in average waiting time (15.77%) and context switches (20.68%) on average.
  • Effectively managed tasks with asymmetric burst times, avoiding the convoy effect.

Conclusions:

  • The enhanced Round Robin scheduling algorithm is optimal and well-suited for cloud computing environments.
  • The dynamic quantum time adjustment offers a better approach to task scheduling.
  • The algorithm provides a more efficient and balanced resource distribution in cloud systems.