Carbon-Neutral Computing at the Edge: Scalable Greedy - LP Optimization of Green Data Centers

Okazawa, Kazuki; Nishikawa, Hiroki; Zhao, Dafang et al.

Proceedings - 2025 IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip, MCSoC 2025, 2025, 678-685

アクセス数:38件（2026-06-06 14:36 集計）

固定URL: https://hdl.handle.net/11094/104543

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タイトル
Carbon-Neutral Computing at the Edge: Scalable Greedy - LP Optimization of Green Data Centers
著者
Scopus Author ID
58512254700 58512254700
著者名
Okazawa, Kazuki
NRID
1000090963538 1000090963538
ORCID
0000-0002-9626-0944 0000-0002-9626-0944
researchmap permalink
hiroki_nishikawa hiroki_nishikawa
Scopus Author ID
57205765139 57205765139
著者名
Nishikawa, Hiroki
NRID
1000010986962 1000010986962
ORCID
0000-0001-8107-4260 0000-0001-8107-4260
researchmap permalink
zhaodafang zhaodafang
Scopus Author ID
57315020300 57315020300
著者名
Zhao, Dafang
NRID
1000040551453 1000040551453
ORCID
0000-0002-7843-5907 0000-0002-7843-5907
researchmap permalink
ittetsu ittetsu
Scopus Author ID
23013657500 23013657500
著者名
Taniguchi, Ittetsu
NRID
1000060252590 1000060252590
researchmap permalink
read0096872 read0096872
Scopus Author ID
7007073634 7007073634
著者名
Onoye, Takao
著者名
De Melo Da Silva, Marcos
著者名
Gamatie, Abdoulaye
キーワード等
carbon neutrality
distributed computing
Edge data center
optimization
renewable energy
resource allocation
内容
Okazawa K., Nishikawa H., Zhao D., et al. Carbon-Neutral Computing at the Edge: Scalable Greedy - LP Optimization of Green Data Centers. Proceedings - 2025 IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip, MCSoC 2025 , 678 (2025); https://doi.org/10.1109/MCSoC67473.2025.00110.
抄録
As energy demands in cloud computing surge, efficient task scheduling and carbon-free energy use in mini data centers is essential. Solving scheduling problems with mixed-integer linear programming optimization methods is computationally intensive and less scalable. This paper proposes a two-step approach combining a greedy algorithm with linear programming to optimize virtual machines scheduling and energy management. We show via simulations that our method preserves solution quality, while accelerating the calculation process by 99.6 %. While the literature method requires 6 hours to solve a reference system design, our solution handles 18 times larger designs in 20 minutes only, demonstrating its scalability.
会議情報
会議名
2025 IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)
回次
18
主催機関
IEEE
開催期間
15-18 December 2025
開催地
Singapore
開催国
シンガポール
出版者
Institute of Electrical and Electronics Engineers Inc.
収録物名
Proceedings - 2025 IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip, MCSoC 2025
ページ
678-685
刊行年月
2025-12-31
言語
英語
ハンドルURL
https://hdl.handle.net/11094/104543
PISSN
27713067
eISSN
27713075
関連情報 (isVersionOf)
DOI (出版社版)
https://doi.org/10.1109/MCSoC67473.2025.00110
アクセス権
open access
権利情報
© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
出版タイプ
Accepted Manuscript
カテゴリ
会議発表論文 Conference Paper