1. Research on data center computing resources and energy load Co-optimization considering spatial-temporal allocation.
- Author
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Zhang, Liting, Deng, Junkai, Li, Qifen, Yang, Yongwen, and Lei, Ming
- Subjects
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SERVER farms (Computer network management) , *POWER resources , *LOAD balancing (Computer networks) , *ENERGY consumption , *RESEARCH institutes , *COOLING loads (Mechanical engineering) , *CARBON emissions , *ELECTRICAL load - Abstract
With the rapid development of global informatization, data center computing tasks are increasing, and the resulting energy consumption problems are particularly prominent in the context of carbon emission reduction, and affect the safe and green operation of data centers. Aiming at the problem of high and large fluctuation energy load of data center servers, this paper presents a method of optimizing data center servers load considering spatial-temporal load distribution of computing resources. Co-optimized allocation of computing resources and load is studied with examples from the property that computing resources is adjustable in time and space dimensions. The results show that the proposed method is able to reduce the peak electric and cooling loads of the data center room by 10.7 %, reduce the total annual electric consumption by 2.66 % and the total annual cooling consumption by 2.46 %, and reduce the economic and environmental costs of energy supply for the data center in the case study, which comprehensively shows that the load optimization of data center servers has been achieved through the optimal allocation of computing resources. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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