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
Link To Document :
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