Md. Rashid Al Asif

Work place: Department of Computer Science and Engineering, University of Barishal, Barishal-8254, Bangladesh



Research Interests: Mathematics of Computing, Data Structures and Algorithms, Autonomic Computing


Md. Rashid Al Asif is currently working as an Assistant Professor, Department of Computer Science and Engineering, University of Barishal, Barishal-8254, Bangladesh. Moreover, he also worked as a Senior Lecturer and Lecturer in Computer Science and Engineering, Faculty of Science and Technology, North Western University, Khulna-9000, Bangladesh. He has completed his B.Sc. Engg. and M.Sc. Engg. in Computer Science and Engineering at Jashore University of Science and Technology, Jashore-7408, Bangladesh. His scientific interests and competence fields are cloud computing, IoT, and Cyber security.

Author Articles
Optimized Round Robin Scheduling Algorithm Using Dynamic Time Quantum Approach in Cloud Computing Environment

By Dipto Biswas Md. Samsuddoha Md. Rashid Al Asif Md. Manjur Ahmed

DOI:, Pub. Date: 8 Feb. 2023

Cloud computing refers to a sophisticated technology that deals with the manipulation of data in internet-based servers dynamically and efficiently. The utilization of the cloud computing has been rapidly increased because of its scalability, accessibility, and incredible flexibility. Dynamic usage and process sharing facilities require task scheduling which is a prominent issue and plays a significant role in developing an optimal cloud computing environment. Round robin is generally an efficient task scheduling algorithm that has a powerful impact on the performance of the cloud computing environment. This paper introduces a new approach for round robin based task scheduling algorithm which is suitable for cloud computing environment. The proposed algorithm determines time quantum dynamically based on the differences among three maximum burst time of tasks in the ready queue for each round. The concerning part of the proposed method is utilizing additive manner among the differences, and the burst times of the processes during determining the time quantum. The experimental results showed that the proposed approach has enhanced the performance of the round robin task scheduling algorithm in reducing average turn-around time, diminishing average waiting time, and minimizing number of contexts switching. Moreover, a comparative study has been conducted which showed that the proposed approach outperforms some of the similar existing round robin approaches. Finally, it can be concluded based on the experiment and comparative study that the proposed dynamic round robin scheduling algorithm is comparatively better, acceptable and optimal for cloud environment.

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