Quantitative evaluation method of cloud resources based on work scheduling-Reference-Cited by-同舟云学术

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Quantitative evaluation method of cloud resources based on work scheduling

Published:2020-07-24 Issue:7 Volume:12 Page:6969-6973
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Vuppala Balaji,Swarnalatha P.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-020-02342-y.pdf

Reference17 articles.

1. Abouzeid A, Bajda-Pawlikowski K, Abadi D, Silberschatz A, Rasin A (2009) Hadoopdb: an architectural hybrid of mapreduce and dbms technologies for analytical workloads. Proc Vldb Endow 2(1):922–933

2. Beugin J, Marais J (2012) Simulation-based evaluation of dependability and safety properties of satellite technologies for railway localization. Transp Res Part C 22:42–57

3. Boehm M, Dusenberry MW, Eriksson D, Evfimievski AV, Manshadi FM, Pansare N et al (2016) Systemml: declarative machine learning on spark. Proc Vldb Endow 9(13):1425–1436

4. Burke DR, Moslemi-Tabrizi S, Smy TJ (2010) Simulation of inhomogeneous models using the finite cloud method. Simulation inhomogener modelle unter benutzung der finite-wolken-methode. Materialwiss Werkstofftech 41(5):336–340

5. Cohen J (2009) Graph twiddling in a mapreduce world. Comput Sci Eng 11(4):29–41

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