Hadoop Performance Analysis Model with Deep Data Locality [PDF]
Background: Hadoop has become the base framework on the big data system via the simple concept that moving computation is cheaper than moving data. Hadoop increases a data locality in the Hadoop Distributed File System (HDFS) to improve the performance ...
Sungchul Lee, Ju-Yeon Jo, Yoohwan Kim
doaj +3 more sources
An overview of Hadoop applications in transportation big data
As an open-source cloud computing platform, Hadoop is extensively employed in a variety of sectors because of its high dependability, high scalability, and considerable benefits in processing and analyzing massive amounts of data. Consequently, to derive
Changxi Ma, Mingxi Zhao, Yongpeng Zhao
doaj +1 more source
Big Data Technology Fusion Back Propagation Neural Network in Product Innovation Design Method
This research uses big data technology to combine the process of product innovation design method, which has certain significance for the formation of intelligent and systematic product innovation design method. Meanwhile, while predicting the results of all products innovative design methods, it can improve the product's predictive innovative design ...
Ren Li, Qiang Zeng
wiley +1 more source
Embedding GPU Computations in Hadoop [PDF]
As the size of high performance applications increases, four major challenges including heterogeneity, programmability, fault resilience, and energy efficiency have arisen in the underlying distributed systems.
Jie Zhu +5 more
doaj +1 more source
Accelerating Apriori Algorithm of GPU Cluster Based on Hadoop Platform [PDF]
Aiming at the problem that the Apriori algorithm has limited computing power in the Hadoop platform,the GPU with Hadoop is combined with Hadoop,and a computing structure of GPU-Hadoop is proposed.Through the MapReduce framework of the Hadoop platform ...
QU Shiqi,LIU Shaojiang,NI Weichuan,YU Qingmao
doaj +1 more source
Applicability Assessment of Technologies for Predictive and Prescriptive Analytics of Nephrology Big Data. [PDF]
ABSTRACT The integration of big data into nephrology research will open new avenues for analyzing and understanding complex biological datasets, driving advances in personalized management of kidney diseases. This paper describes the multifaceted challenges and opportunities by incorporating big data in nephrology, emphasizing the importance of data ...
Stojanov R +12 more
europepmc +2 more sources
A COMPARATIVE ANALYSIS OF CONVENTIONAL HADOOP WITH PROPOSED CLOUD ENABLED HADOOP FRAMEWORK FOR SPATIAL BIG DATA PROCESSING [PDF]
The emergence of new tools and technologies to gather the information generate the problem of processing spatial big data. The solution of this problem requires new research, techniques, innovation and development.
A. K. Tripathi, S. Agrawal, R. D. Gupta
doaj +1 more source
FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easy
Background Storage of genomic data is a major cost for the Life Sciences, effectively addressed via specialized data compression methods. For the same reasons of abundance in data production, the use of Big Data technologies is seen as the future for ...
Umberto Ferraro Petrillo +3 more
doaj +1 more source
Enhancing Approach for Information Security in Hadoop
Using the Hadoop package, a proposed secure cloud computing system was designed. Hadoop would use the area to establish and enhance the security for saving and managing user data.
Yogesh Awasthi, Ashish Sharma
doaj +1 more source
Evolution of the Hadoop Platform and Ecosystem for High Energy Physics [PDF]
The interest in using scalable data processing solutions based on Apache Hadoop ecosystem is constantly growing in the High Energy Physics (HEP) community.
Baranowski Zbigniew +9 more
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