Majlesi Journal of Electrical Engineering MODE: A Multi-Objective Strategy for Dynamic Task Scheduling through Elastic Cloud Resources Volume 14 (2020) Issue 2, June 2020 2024 02 15 MODE: A Multi-Objective Strategy for Dynamic Task Scheduling through Elastic Cloud Resources EN Mina Yazdanbakhsh Department of Computer Engineering, Dolatabad Branch, Islamic Azad University, Isfahan, Iran. Reihaneh Khorsand Motlagh Isfahani Department of Computer Engineering, Dolatabad Branch, Islamic Azad University, Isfahan, Iran. Mohammadreza Ramezanpour Islamic Azad University Mobarakeh BrDepartment of Computer Engineering, Mobarakeh Branch, Islamic Azad University, Isfahan, Irananch Journal Article 2024 02 15 Cloud computing is introduced as a high-performance computing environment that manages a variety of virtualized resources. One of the major aspects of cloud computing is its dynamic scheduling of great number of task requests that are submitted by users. Cloud data centers in addition to implementing these tasks, should meet the conflicting multiple requirements of different users. Minimizing makespan and deadline violation on a great number of tasks are difficult while costs are reduced. Therefore, in this paper, a multi-objective strategy for dynamic task scheduling through elastic cloud resources (MODE) is proposed, where an algorithm is proposed to construct individual non-dominated sets of new received tasks. These non-dominated sets are sorted in different levels through a new crowding distance of the individuals. In addition, an elastic resource provisioning based on the maximum available VMs’ load is proposed to provide resources in a dynamic manner. The total cost, makespan, and the deadline violations are reduced by 85.84%, 58.03%, and 47.77%, respectively, and the utilization of virtual machines is increased up to 53.2% through this strategy when compared to its counterparts.