Scheduling large-scale scientific workflow on virtual machines with different numbers of vCPUs-Reference-Cited by-同舟云学术

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Scheduling large-scale scientific workflow on virtual machines with different numbers of vCPUs

Published:2020-04-23 Issue:1 Volume:77 Page:679-710
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Wu Hao^ORCID,Chen Xin,Song Xiaoyu,Zhang Chi,Guo He

Funder

Doctoral Program Foundation of Institutions of Higher Education of China

Key Laboratory of Hybrid Computation and IC Design Analysis Open Fund

Youth Science Foundation of Guangxi Medical University

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/s11227-020-03273-3.pdf

Reference41 articles.

1. M.R. MEDIA. Global cloud computing market forecast 2019-2024. https://www.marketresearchmedia.com/?p=839

2. Armbrust M, Fox A, Griffith R, Joseph AD, Katz R, Konwinski A, Lee G, Patterson D, Rabkin A, Stoica I et al (2010) A view of cloud computing. Commun ACM 53(4):50

3. Zhu X, Yang LT, Chen H, Wang J, Yin S, Liu X (2014) Real-time tasks oriented energy-aware scheduling in virtualized clouds. IEEE Trans Cloud Comput 2(2):168

4. Vasile MA, Pop F, Tutueanu RI, Cristea V (2015) Resource-aware hybrid scheduling algorithm in heterogeneous distributed computing. Future Gener Comput Syst 51(C):61

5. Li P, Chen Z, Yang LT, Gao J, Zhang Q, Deen MJ (2018) An incremental deep convolutional computation model for feature learning on industrial big data. IEEE Trans Industr Inf 15(3):1341–1349

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