Skew-Tolerant Key Distribution for Load Balancing in MapReduce-Reference-Cited by-同舟云学术

Skew-Tolerant Key Distribution for Load Balancing in MapReduce

Published:2012 Issue:2 Volume:E95-D Page:677-680
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

SON Jihoon¹,CHOI Hyunsik²,CHUNG Yon Dohn²

Affiliation:

1. Center for Advanced Mobile Solutions, Korea University

2. Department of Computer Science and Engineering, Korea University

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

Link

http://www.jstage.jst.go.jp/article/transinf/E95.D/2/E95.D_2_677/_pdf

Reference13 articles.

1. MapReduce

2. [2] T.H. Cormen, C. Stein, R.L. Rivest, and C.E. Leiserson, Introduction to Algorithms, 2nd ed., McGraw-Hill Higher Education, 2001.

3. [3] G. Ananthanarayanan, S. Agarwal, S. Kandula, A.G. Greenberg, I. Stoica, D. Harlan, and E. Harris, “Scarlett: Coping with skewed content popularity in MapReduce clusters,” EuroSys, pp.287-300, 2011.

4. [4] B. Gufler, N. Augsten, A. Reiser, and A. Kemper, “Handling data skew in MapReduce,” Proc. 2nd International Conference on Cloud Computing and Services Science, pp.100-109, Noordwijkerhout, The Netherlands, 2011.

5. [5] S. Ibrahim, H. Jin, L. Lu, S. Wu, B. He, and L. Qi, “Leen: Locality/fairness-aware key partitioning for MapReduce in the cloud,” CloudCom, pp.17-24, 2010.

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