DocumentCode
3290552
Title
An New Data Parallelism Approach with High Performace Clouds
Author
Bingxiang, Gui ; Hongcai, Feng
Author_Institution
Dept. of Comput. & Inf. Eng., Wuhan Polytech. Univ., Wuhan, China
fYear
2009
fDate
16-17 May 2009
Firstpage
713
Lastpage
716
Abstract
This paper presents a new high performance cloud framework that support simplified data parallel applications. and describes the design and implementation of it. This cloud implements stream processing paradigm over clusters of computers, either within single data center or across wide area. Unlike MapReduce, this Cloudpsilas stream processing paradigm is simpler, more straightforward, and reaches better performance in certain cases. The experimental results show this cloud is more straightforward, simpler to use, and it is about twice as fast as Hadoop.
Keywords
parallel processing; workstation clusters; Hadoop; data parallelism; high performance clouds; stream processing; Application software; Cloud computing; Computer networks; Concurrent computing; Data engineering; Distributed computing; File systems; High performance computing; Parallel processing; Scattering; compute cloud; distributed data application; high performace cloud; storage cloud;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3614-9
Type
conf
DOI
10.1109/PACCS.2009.162
Filename
5232425
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