DocumentCode :
3733823
Title :
Spark: A Big Data Processing Platform Based on Memory Computing
Author :
Zhijie Han;Yujie Zhang
Author_Institution :
Inst. of Data &
fYear :
2015
Firstpage :
172
Lastpage :
176
Abstract :
Spark is a memory-based computing framework which has a better ability of computing and fault tolerance, supports batch, interactive, iterative and flow calculations. In this paper, we analyze the Spark´s primary framework, core technologies, and point out the advantages and disadvantages of the Spark. In the end, we make a discussion for the future trends of the Spark technologies.
Keywords :
"Sparks","Fault tolerance","Fault tolerant systems","Algorithm design and analysis","Motion pictures","Optimization","Machine learning algorithms"
Publisher :
ieee
Conference_Titel :
Parallel Architectures, Algorithms and Programming (PAAP), 2015 Seventh International Symposium on
ISSN :
2168-3042
Type :
conf
DOI :
10.1109/PAAP.2015.41
Filename :
7387321
Link To Document :
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