Energy-Saving Task Scheduling Based on Hard Reliability Requirements: A Novel Approach with Low Energy Consumption and High Reliability

Qingfeng Chen, Yu Han, Jing Wu and Yu Gan
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Qingfeng Chen: School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430065, China
Yu Han: School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430065, China
Jing Wu: School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430065, China
Yu Gan: School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430065, China

Sustainability, 2022, vol. 14, issue 11, 1-15

Abstract: With the increasing complexity of application situations in multi-core processing systems, how to assure task execution reliability has become a focus of scheduling algorithm research in recent years. Most fault-tolerant algorithms achieve hard reliability requirements through task redundancy, which increases energy consumption and contradicts the concept of sustainable development. In this paper, we propose a new algorithm called HDFE (Heterogeneous-Dag-task-fault-tolerance-energy-efficiency algorithm) that combines DVFS technology and task replication technology to solve the scheduling problem of DAG applications concerning energy-saving and hard reliability requirements in heterogeneous multi-core processor systems. Our algorithm is divided into three phases: the priority calculation phase, the task replication phase, and the task assignment phase. The HDFE algorithm achieved energy savings while meeting hard reliability requirements for applications, which was based on the interrelationship between reliability and energy consumption in filtering task replicas. In the experimental part of this paper, we designed four comparison experiments between the EFSRG algorithm, the HRRM algorithm, and the HDFE algorithm. The experimental results showed that the energy consumption of task scheduling using the HDFE algorithm is lower than other algorithms under different scales, thus achieving energy savings and complying with the concept of sustainable development.

Keywords: heterogeneous systems; scheduling algorithm; fault tolerance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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