EHEFT-R: multi-objective task scheduling scheme in cloud computing

被引：0
作者：
Honglin Zhang
Yaohua Wu
Zaixing Sun
机构：
[1] Shandong University,Faculty of Control Science and Engineering
[2] Harbin Institute of Technology,School of Computer Science and Technology
来源：
Complex & Intelligent Systems | 2022年 / 8卷
关键词：
Cloud computing; Task scheduling; HEFT; QoS; Energy consumption;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In cloud computing, task scheduling and resource allocation are the two core issues of the IaaS layer. Efficient task scheduling algorithm can improve the matching efficiency between tasks and resources. In this paper, an enhanced heterogeneous earliest finish time based on rule (EHEFT-R) task scheduling algorithm is proposed to optimize task execution efficiency, quality of service (QoS) and energy consumption. In EHEFT-R, ordering rules based on priority constraints are used to optimize the quality of the initial solution, and the enhanced heterogeneous earliest finish time (HEFT) algorithm is used to ensure the global performance of the solution space. Simulation experiments verify the effectiveness and superiority of EHEFT-R.
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收藏
页码：4475 / 4482
页数：7
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