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