MEMoMR: Accelerate MapReduce via reuse of intermediate results-Reference-Cited by-同舟云学术

MEMoMR: Accelerate MapReduce via reuse of intermediate results

Published:2015-10-12 Issue:14 Volume:28 Page:3814-3829
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Yao Hong¹,Xu Jinlai²,Luo Zhongwen²,Zeng Deze¹

Affiliation:

1. School of Computer Science; China University of Geosciences; Wuhan China

2. School of Information Engineering; China University of Geosciences; Wuhan China

Funder

NSF of China

Fundamental Research Funds for National University, China University of Geosciences, Wuhan

Provincial Natural Science Foundation

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.3702/fullpdf

Reference28 articles.

1. Manyika J Chui M Brown B Bughin J Dobbs R Roxburgh C Byers AH Big data: the next frontier for innovation, competition, and productivity, The McKinsey Global Institute 2011 http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation

2. Mapreduce: simplified data processing on large clusters;Dean;Communications of the ACM,2008

3. Apache Hadoop http://hadoop.apache.org/

4. Chen R Weng X He B Yang M Large graph processing in the cloud Proceedings of the 2010 International Conference on Management of Data - SIGMOD '10 Indianapolis, IN, USA, 2010 1123 1126

5. Zhong E Fan W Wang J Xiao L Li Y ComSoc: adaptive transfer of user behaviors over composite social network Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Beijing, China, 2012 696 704

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