Energy-efficient hadoop for big data analytics and computing: A systematic review and research insights-Reference-Cited by-同舟云学术

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Energy-efficient hadoop for big data analytics and computing: A systematic review and research insights

Published:2018-09 Issue: Volume:86 Page:1351-1367
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Wu WenTai,Lin WeiWei,Hsu Ching-Hsien,He LiGang

Funder

National Natural Science Foundation of China

National Science and Technology Ministry

Guangdong Provincial Scientific and Technological Projects

Guangzhou Science and Technology Projects

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference86 articles.

1. MapReduce: Simplified data processing on large clusters;Dean;Commun. ACM,2008

2. Bigbench: Towards an industry standard benchmark for big data analytics;Ghazal,2013

3. An overview, examples, and impacts offered by emerging services and analytics in cloud computing virtual reality;Chang;Neural Comput. Appl.,2015

4. The Apache Hadoop Project. http://www.hadoop.org.

5. Powered by Hadoop. http://wiki.apache.org/hadoop/PoweredBy.

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