Electricity-cost-aware multi-workflow scheduling in heterogeneous cloud-Reference-Cited by-同舟云学术

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Electricity-cost-aware multi-workflow scheduling in heterogeneous cloud

Published:2024-02-24 Issue:6 Volume:106 Page:1749-1775
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Wang Shuang,Duan Yibing,Lei Yamin,Du Peng,Wang Yamin

Funder

National Key Research and Development Program of China

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00607-024-01264-3.pdf

Reference38 articles.

1. Elshamy A, Alquraan A, Al-Kiswany S (2023) A study of orchestration approaches for scientific workflows in serverless computing. In: 1st workshop on serverless systems, applications and methodologies (SESAME), pp. 34–40

2. Li X, Yu W, Ruiz R, Zhu J (2022) Energy-aware cloud workflow applications scheduling with geo-distributed data. IEEE Trans Serv Comput 15(2):891–903

3. Ebrahimi K, Jones GF, Fleischer AS (2014) A review of data center cooling technology, operating conditions and the corresponding low-grade waste heat recovery opportunities. Renew Sustain Energy Rev 31:622–638

4. Taghinezhad-Niar A, Pashazadeh S, Taheri J (2022) Energy-efficient workflow scheduling with budget-deadline constraints for cloud. Computing 104(3):1–25

5. Arabnejad V, Bubendorfer K, Ng B (2018) Budget and deadline aware e-science workflow scheduling in clouds. IEEE Trans Parallel Distrib Syst 30(1):29–44

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