Volume 6 Number 8 (Aug. 2011)
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JSW 2011 Vol.6(8): 1562-1569 ISSN: 1796-217X
doi: 10.4304/jsw.6.8.1562-1569

Power Aware Job Scheduling with QoS Guarantees Based on Feedback Control

Congfeng Jiang1, Xianghua Xu1, Jian Wan1, Jilin Zhang1, Yinghui Zhao2
1Grid and Service Computing Technology Lab, Hangzhou Dianzi University, Hangzhou, 310037, China
2Department of Hydraulic Engineering and Agriculture, Zhejiang Tongji Vocational College of Science and Technology, Hangzhou, 311231, China


Abstract—With the scale of computing system increases, system performance and reliability, described by various Quality of Service(QoS) metrics, cannot be guaranteed if only the objective is to minimize the total power consumptions separately, despite of the violations of QoS. In this paper a feedback control based power aware job scheduling algorithm is proposed to minimize power consumption in computing system and to provide QoS guarantees. In the proposed algorithm, jobs are scheduled according to the real-time and historical power consumption as well as the QoS requirements. Simulations show that the proposed algorithm can reduce power consumptions significantly while still providing QoS guarantees and the performance degradation is acceptable. The results also show that fine-grained job-level power aware scheduling can achieve better power/performance balancing between multiple processors or cores than coarse-grained methods. And the results also suggest that conventional hardware based per-component and system-wide power management methods can save more power consumptions if they are in assistance with job-level adaptation.

Index Terms—power aware computing system; job scheduling; Quality of Service (QoS); feedback control

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Cite: Congfeng Jiang, Xianghua Xu, Jian Wan, Jilin Zhang, Yinghui Zhao, "Power Aware Job Scheduling with QoS Guarantees Based on Feedback Control," Journal of Software vol. 6, no. 8, pp. 1562-1569, 2011.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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