Abstract
As the power demand in data centers is increasing,the power capacity of the power supply system has become an essential resource to be optimized.Although many data centers use power oversubscription to make full use of the power capacity,there are unavoidable power supply risks associated with it.Therefore,how to improve the data center power capacity utilization while ensuring power supply security has become an important issue.To solve this problem,we first define it and propose a risk evaluation metric called Weighted Power Supply Risk(WPSRisk).Then,a method,named Hybrid Genetic Algorithm with Ant Colony System(HGAACS),is proposed to improve power capacity utilization and reduce power supply risks by optimizing the server placement in the power supply system.HGAACS uses historical power data of each server to find a better placement solution by population iteration.HGAACS possesses not only the remarkable local search ability of Ant Colony System(ACS),but also enhances the global search capability by incorporating genetic operators from Genetic Algorithm(GA).To verify the performance of HGAACS,we experimentally compare it with five other placement algorithms.The experimental results show that HGAACS can perform better than other algorithms in both improving power utilization and reducing the risk of power supply system.
基金项目
National Natural Science Foundation of China(62072187)
Guangdong Major Project of Basic and Applied Basic Research(2019B030302002)
Guangzhou Science and Technology Program Key Projects(202007040002)
Guangdong Marine Economic Development Special Fund Project(GDNRC[2022]17)
Guangzhou Development Zone Science and Technology Project(2021GH10)
Guangzhou Development Zone Science and Technology Project(2020GH10)
NETL
NSTL
万方数据