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2015 Seventh International Symposium on Parallel Architectures, Algorithms and Programming (PAAP) (2015)
Nanjing, China
Dec. 12, 2015 to Dec. 14, 2015
ISSN: 2168-3042
ISBN: 978-1-4673-9116-0
pp: 172-176
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.
INDEX TERMS
Sparks, Fault tolerance, Fault tolerant systems, Algorithm design and analysis, Motion pictures, Optimization, Machine learning algorithms,Spark Streaming, Spark, Memory Computing, Spark SQL, MLlib, GraphX
CITATION
Zhijie Han, Yujie Zhang, "Spark: A Big Data Processing Platform Based on Memory Computing", 2015 Seventh International Symposium on Parallel Architectures, Algorithms and Programming (PAAP), vol. 00, no. , pp. 172-176, 2015, doi:10.1109/PAAP.2015.41
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