Spatio-Temporal Reallocation Method for Energy Management in Edge Data Centers

Junlong Li; Chenghong Gu; Lurui Fang; Xiangyu Wei; Yuanbin Zhu; Yue Xiang

doi:10.17775/CSEEJPES.2022.02000

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Spatio-Temporal Reallocation Method for Energy Management in Edge Data Centers

Regular Papers | 更新时间：2026-10-15

- Spatio-Temporal Reallocation Method for Energy Management in Edge Data Centers
- CSEE Journal of Power and Energy Systems Vol. 10, Issue 5, Pages: 1901-1910(2024)
- 作者机构：
  
  1. University of Bath,Bath,UK
  2. Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University,Suzhou,China
  3. College of Electrical Engineering, Sichuan University,Chengdu,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2022.02000
  CLC：
- Published：01 September 2024
- 稿件说明：
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Junlong Li, Chenghong Gu, Lurui Fang, et al. Spatio-Temporal Reallocation Method for Energy Management in Edge Data Centers[J]. CSEE Journal of Power and Energy Systems, 2024, 10(5): 1901-1910.
DOI：

Junlong Li, Chenghong Gu, Lurui Fang, et al. Spatio-Temporal Reallocation Method for Energy Management in Edge Data Centers[J]. CSEE Journal of Power and Energy Systems, 2024, 10(5): 1901-1910. DOI： 10.17775/CSEEJPES.2022.02000.

摘要

Abstract

Edge data centers (EDCs) have been widely developed recently to supply delay-sensitive computing services

which impose prohibitively increasing electricity costs for EDC operators. This paper presents a new spatiotemporal reallocation (STR) method for energy management in EDCs. This method uses spare resources

including servers and energy storage systems (ESSs) within EDCs to reduce energy costs based on both spatial and temporal features of spare resources. This solution: 1) reallocates flexible workload between EDCs within one cluster; and 2) coordinates the electricity load of data processing

ESSs and distributed energy resources (DERs) within one EDC cluster to gain benefits from flexible electricity tariffs. In addition

this paper for the first time develops a Bit-Watt transformation to simplify the STR method and represent the relationship between data workload and electricity consumption of EDCs. Case studies justifying the developed STR method delivers satisfying cost reductions with robustness. The STR method fully utilized both spatial and temporal features of spare resources in EDCs to gain benefits from 1) varying electricity tariffs

and 2) maximumly consuming DER generation.

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references

4. IDCNova. ( 2020, Nov. 09 ). Liaocheng, Shandong Province, China launched its first “multi-station integration” edge data center station and put it into operation . [Online ] . Available: http://www.idcnova.com/html/1/59/153/790.html.

5. Proximity data centres edge 5 liverpool . [Online ] . Available: https://www.colo-x.com/data-centre/proximity-data-centres-edge-5-liverpool/.

6. Smart Edge Data Centres Limited . Edge data centres of SmartEdge DC Ltd. [Online ] . Available: https//www.smartedgedc.com/.

7. American Tower. Edge data centers . [Online ] . Available: https://www.americantower.com/us/solutions/data-centers/edge/.

8. C. Xinhua. The new infrastructure will cause the country's electricity consumption to soar by nearly 20%, how to deal with it . [Online ] . Available: https://programmersought.com/article/68554776557/.

9. Telecommunications Industry Association. ( 2018 ). Edge data centers . [Online ] . Available: https://www.tiaonline.org/wp-content/uploads/2018/10/TIA_Position_Paper_Edge_Data_Centers-18Oct18.pdf.

18. What and where are edge data centres? [Online ] . Available: https://stlpartners.comledge-computing/%E2%80%8Bwhat-and-where-are-edge-data-centres/.

25. NASA-HTTP. HTTP requests to the NASA kennedy space center WWW server in Florida . [Online ] . Available: ftp://ita.ee.lbl.gov/html/contrib/NASA-HTTP.html.

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