E3S Web Conf.
Volume 351, 202210th International Conference on Innovation, Modern Applied Science & Environmental Studies (ICIES’2022)
|Number of page(s)||5|
|Published online||24 May 2022|
QoS based task scheduling algorithm in cloud computing
1 LTT Laboratory of Telecommunication Tlemcen, UABT, Tlemcen, Algeria
2 DISC Laboratory, Femto-ST Institute, UMR CNRS, Université de Franche-Comté, Besançon, France
* Corresponding author: firstname.lastname@example.org
Task scheduling is a critical topic that has a significant impact on the performance of the Cloud computing environment where cloud service providers and users have conflicting objectives and requirements. A good scheduler must provide an acceptable trade-off between these goals. Thus, cloud task scheduling becomes a multi-objective optimization problem. In this paper, our contribution is to address the problem of task scheduling in the Cloud computing environments in order to orchestrate the suitable assignment of the submitted tasks to the set of virtual machines. For this purpose, we have adapted the Flower Pollination Algorithm (FPA) metaheuristic by evaluating its objective function in term of three metrics which are makespan, cost and reliability. The simulation results achieved using CloudSim framework are very satisfactory and clearly show the interest of our FPA-based approach.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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