SR-PSO: server residual efficiency-aware particle swarm optimization for dynamic virtual machine scheduling-Reference-Cited by-同舟云学术

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SR-PSO: server residual efficiency-aware particle swarm optimization for dynamic virtual machine scheduling

Published:2023-04-18 Issue:14 Volume:79 Page:15459-15495
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Ajmera Kashav,Tewari Tribhuwan Kumar

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-023-05270-8.pdf

Reference36 articles.

1. Miller R (2020) The sustainability imperative: green data centers and our cloudy future. Data center frontier, New Jersey

2. Corbett CJ (2018) How sustainable is big data? Prod Oper Manag 27(9):1685–1695

3. Koot M, Wijnhoven F (2021) Usage impact on data center electricity needs: a system dynamic forecasting model. Appl Energy 291:116798

4. Li X, Qian Z, Lu S, Wu J (2013) Energy efficient virtual machine placement algorithm with balanced and improved resource utilization in a data center. Math Comput Model 58(5–6):1222–1235

5. Fan X, Weber W-D, Barroso LA (2007) Power provisioning for a warehouse-sized computer. ACM SIGARCH Computer Architecture News 35(2):13–23

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3. A systematic literature review on contemporary and future trends in virtual machine scheduling techniques in cloud and multi-access computing;Frontiers in Computer Science;2024-07-08

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