E-PTSA+: A Multi-Objective Energy-Aware Task Scheduling Framework for Resource Optimization in Heterogeneous Cloud Environment
DOI:
https://doi.org/10.62431/y9zamd54Keywords:
Task Scheduling, Resource Allocation, Energy Efficiency, Cloud ComputingAbstract
In the present cloud computing environment optimal task scheduling enables effective resource utilization while minimizing the energy consumption. The paper presents an enhanced multi-objective energy-efficient priority-based task scheduling Approach (E-PTSA+). The proposed approach is meant to improve the resource allocation for a dynamic and heterogeneous cloud computing system. The approach extends the existing E-PTSA model by incorporating improved task–VM mapping, adaptive resource balancing, and an advanced allocation strategy that jointly optimizes energy consumption and resource utilization. The proposed E-PTSA+ introduces a multi-objective framework and an improved allocation mechanism that boosts resource utilization in an energy aware manner. Moreover, the proposed framework
provides a consolidated evaluation across multiple virtual machine configurations, offering deeper insights into system performance under varying workloads. The experimental results of the proposed approach are tested in a heterogeneous manner while varying the tasks and the VMs. Notably, E-PTSA+ achieves better resource utilization across all VM configurations in an improved energy aware manner. The results show that the proposed framework works well to find a good balance between energy efficiency and resource optimization. This makes it a good choice for cloud computing. Environments that are large and use a lot of data.
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Copyright (c) 2026 Parvaz Ahmad Malla , Sophiya Sheikh , Aasia Quyoum
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