SAUFEE: a datacenter task scheduling algorithm considering user fairness and energy efficiency

Yuanlong Peng; Longchuan Yan; Ce Yu; Wantao Liu

doi:10.1117/12.3033375

12 July 2024 SAUFEE: a datacenter task scheduling algorithm considering user fairness and energy efficiency

Yuanlong Peng, Longchuan Yan, Ce Yu, Wantao Liu

Proceedings Volume 13185, International Conference on Communication, Information, and Digital Technologies (CIDT2024) ; 1318509 (2024) https://doi.org/10.1117/12.3033375
Event: International Conference on Communication, Information and Digital Technologies, 2024, Wuhan, China

Abstract

The data center uses virtualization and isolation technologies to provide flexible and efficient services for multi-tenants. One of the most challenging aspect of resource sharing is task scheduling. During the scheduling process, it is crucial to ensure fairness in user resource usage and achieve high cluster utilization and energy efficiency. However, the heterogeneity of resources and the variations in user demands make it extremely difficult to provide an effective scheduling solution. In this paper, we propose an efficient heuristic scheduling algorithm called SAUFEE, which trades off the resource requirement of multi-tenants and cluster power consumption. First, we introduce a user fairness model, which prioritizes the tasks of users with the least resource allocation in each scheduling round, ensuring fairness among them. Next, we propose a resource utilization model to schedule user tasks to reduce resource waste. Additionally, idle machines are shut down to save overall cluster energy consumption. The simulation experiment results show that our algorithm increases the number of running tasks by 3.3% and the CPU utilization by 3.4% while ensuring fairness. Our algorithm plays an important role in improving cluster energy efficiency and user fairness.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuanlong Peng, Longchuan Yan, Ce Yu, and Wantao Liu "SAUFEE: a datacenter task scheduling algorithm considering user fairness and energy efficiency", Proc. SPIE 13185, International Conference on Communication, Information, and Digital Technologies (CIDT2024) , 1318509 (12 July 2024); https://doi.org/10.1117/12.3033375

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KEYWORDS

Power consumption

Energy efficiency

Data centers

Bridges

Clouds

Computer simulations

Design

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