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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
A Comparison of Big Remote Sensing Data Processing with Hadoop MapReduce and Spark
ترجمه فارسی عنوان مقاله:
مقايسه پردازش داده های حسی راه دور با MapReduce و Spark Hadoop
منبع:
IEEE - 4th International Conference on Advanced Technologies For Signal and Image Processing ꡃ ATSIPꆯ 2018 March 21-24, 2018 ꡃ Sousse, Tunisia
نویسنده:
I. Chebbi W. Boulila N. Mellouli M. Lamolle I.R. Farah
چکیده انگلیسی:
The continuous generation of huge amount of re
mote sensing (RS) data is becoming a challenging task for
researchers due to the 4 Vs characterizing this type of data
(volume, variety, velocity and veracity). Many platforms have
been proposed to deal with big data in RS field. This paper
focus on the comparison of two well-known platforms of big RS
data namely Hadoop and Spark. We start by describing the two
platforms Hadoop and Spark. The first platform is designed for
processing enormous unstructured data in a distributed comput
ing environment. It is composed of two basic elements : 1) Hadoop
Distributed file system for storage, and 2) Mapreduce and Yarn
for parallel processing, scheduling the jobs and analyzing big
RS data. The second platform, Spark, is composed by a set of
libraries and uses the resilient distributed data set to overcome
the computational complexity. The last part of this paper is
devoted to a comparison between the two platforms.
Index Terms : Big Data, Architectures, Hadoop, Spark, Remote Sensing Image
قیمت: رایگان
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