QoS Promotion in Energy-Efficient Datacenters Through Peak Load Scheduling

doi:10.1109/TCC.2018.2886187

	QoS Promotion in Energy-Efficient Datacenters Through Peak Load Scheduling
	Hu, Cheng 5,6; Deng, Yuhui 4,5; Min, Geyong 3; Huang, Ping 2; Qin, Xiao 1
刊名	IEEE TRANSACTIONS ON CLOUD COMPUTING
	2021-04-01
卷号	9 期号:2 页码:777-792
关键词	Workload burst performance promotion QoS guarantee dynamic power management data center
ISSN号	2168-7161
DOI	10.1109/TCC.2018.2886187
英文摘要	To build energy-efficient datacenters, one widely used way is to dynamically manipulate the quantity of available hardware resources on demand. However, when bursty workloads appear, additional time overhead is required for resource gearing, thus incurring a performance degradation. To explore this problem, we present an intelligible analysis on the request handing in a VM. From the analysis, we find that, when workloads are overloaded (i.e., peak loads appear), the number of QoS guaranteed requests can be greatly increased by deferring the scheduling of a few requests. Inspired by this finding, we propose a Peak Load Scheduling Control (PLSC) method to promote the Quality of Service (QoS) of peak loads for modern energy-efficient datacenters. However, peak loads are usually difficult to identify. To overcome this difficulty, PLSC tracks the number of requests residing in a VM by leveraging a two-tier request queue maintained by it. When the number exceeds the capability of the VM, it means that peak loads appear. In this case, PLSC adds some delay-tolerant requests to the secondary queue. The scheduling of requests in the secondary queue is controlled with a lower priority than that of requests in the primary queue. Sequentially, with critical requests maintained in the primary queue, PLSC shortens the response time of critical requests. In addition, PLSC expands the number of QoS-guaranteed requests. Comprehensive experiments are conducted to attest the effectiveness of PLSC, by simulating a typical energy-efficient datacenter. The experimental results show that PLSC significantly promotes the QoS of workloads with a negligible impact on energy saving.
资助项目	NSFC[61572232] ; Science and Technology Planning Project of Guangzhou[201802010028] ; Science and Technology Planning Project of Guangzhou[201802010058] ; Science and Technology Planning Project of Nansha[2017CX006] ; Open Research Fund of Key Laboratory of Computer System and Architecture, Institute of Computing Technology, Chinese Academy of Sciences[CARCH201705]
WOS研究方向	Computer Science
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000658339200028
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/17658]
专题	中国科学院计算技术研究所
通讯作者	Deng, Yuhui
作者单位	1.Auburn Univ, Dept Comp Sci & Software Engn, Auburn, AL 36849 USA 2.Temple Univ, Dept Comp & Informat Sci, Philadelphia, PA 19122 USA 3.Univ Exeter, Coll Engn Math & Phys Sci, Exeter EX4 4QF, Devon, England 4.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100080, Peoples R China 5.Jinan Univ, Dept Comp Sci, Guangzhou 510632, Guangdong, Peoples R China 6.Guangdong Univ Foreign Studies, Sch Informat Sci & Technol, Guangzhou 510006, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Hu, Cheng,Deng, Yuhui,Min, Geyong,et al. QoS Promotion in Energy-Efficient Datacenters Through Peak Load Scheduling[J]. IEEE TRANSACTIONS ON CLOUD COMPUTING,2021,9(2):777-792.
APA	Hu, Cheng,Deng, Yuhui,Min, Geyong,Huang, Ping,&Qin, Xiao.(2021).QoS Promotion in Energy-Efficient Datacenters Through Peak Load Scheduling.IEEE TRANSACTIONS ON CLOUD COMPUTING,9(2),777-792.
MLA	Hu, Cheng,et al."QoS Promotion in Energy-Efficient Datacenters Through Peak Load Scheduling".IEEE TRANSACTIONS ON CLOUD COMPUTING 9.2(2021):777-792.