Mr. Longchuan Yan Profile

Longchuan Yan

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Proceedings Article | 12 July 2024 Paper

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

Yuanlong Peng, Longchuan Yan, Ce Yu, Wantao Liu

Proceedings Volume 13185, 1318509 (2024) https://doi.org/10.1117/12.3033375

KEYWORDS: Power consumption, Energy efficiency, Data centers, Telecommunications, Microelectromechanical systems, Gold, Design, Computer simulations, Clouds, Bridges

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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.

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