Long-Term Performance Evaluation of Hadoop Jobs in Public and Community Clouds

Author:

AIDA Kento1,ABDUL-RAHMAN Omar1,SAKANE Eisaku1,MOTOYAMA Kazutaka1

Affiliation:

1. National Institute of Informatics

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference23 articles.

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2. [2] Y. Koh, R.C. Knauerhase, P. Brett, M. Bowman, Z. Wen, and C. Pu, “An analysis of performance interference effects in virtual environments,” Proc. IEEE International Symposium on Performance Analysis of Systems & Software (ISPASS 2007), pp.200-209, 2007.

3. [3] X. Pu, L. Liu, Y. Mei, S. Sivathanu, Y. Koh, and C. Pu, “Understanding performance interference of I/O workload in virtualized cloud environments,” Proc. 2010 IEEE 3rd International Conference on Cloud Computing (CLOUD'10), pp.51-58, 2010.

4. [4] Y. Hashimoto and K. Aida, “Evaluation of performance degradation in HPC applications with VM consolidation,” Proc. 2012 Third International Conference on Networking and Computing (ICNC 2012), pp.273-277, 2012.

5. [5] G. Ananthanarayanan, S. Kandula, A. Greenberg, I. Stoica, Y. Lu, B. Saha, and E. Harris, “Reining in the outliers in Map-reduce clusters using Mantri,” Proc. 9th USENIX Conference on Operating Systems Design and Implementation, pp.1-16, 2010.

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1. Optimal Pricing for Service Provision in Heterogeneous Cloud Market;IEICE Transactions on Communications;2019-06-01

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