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An overview of Hadoop applications in transportation big data

open access: yesJournal of Traffic and Transportation Engineering (English ed. Online), 2023
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

Embedding GPU Computations in Hadoop [PDF]

open access: yesInternational Journal of Networked and Distributed Computing (IJNDC), 2014
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]

open access: yesJisuanji gongcheng, 2018
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

A COMPARATIVE ANALYSIS OF CONVENTIONAL HADOOP WITH PROPOSED CLOUD ENABLED HADOOP FRAMEWORK FOR SPATIAL BIG DATA PROCESSING [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
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

Enhancing Approach for Information Security in Hadoop

open access: yesJITCE (Journal of Information Technology and Computer Engineering), 2020
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

FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easy

open access: yesBMC Bioinformatics, 2021
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

Thailand COVID-19 pandemic data analysis using big data technology [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2022
The world has been observing unprecedented circumstances with the outbreak of the COVID-19 pandemic. The upsurge of infection cases has left hospitals overwhelmed, education quality compromised, caused unemployment issues, and affected the ...
Karma Wangchuk, Jirarat Ieamsaard
doaj   +1 more source

Lustre, hadoop, accumulo [PDF]

open access: yes2015 IEEE High Performance Extreme Computing Conference (HPEC), 2015
Data processing systems impose multiple views on data as it is processed by the system. These views include spreadsheets, databases, matrices, and graphs. There are a wide variety of technologies that can be used to store and process data through these different steps.
Kepner, Jeremy   +13 more
openaire   +2 more sources

Evolution of the Hadoop Platform and Ecosystem for High Energy Physics [PDF]

open access: yesEPJ Web of Conferences, 2019
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
doaj   +1 more source

Optimization of Computing and Networking Resources of a Hadoop Cluster Based on Software Defined Network

open access: yesIEEE Access, 2018
In this paper, we discuss some challenges regarding the Hadoop framework. One of the main ones is the computing performance of Hadoop MapReduce jobs in terms of CPU, memory, and hard disk I/O. The networking side of a Hadoop cluster is another challenge,
Ali Khaleel, Hamed Al-Raweshidy
doaj   +1 more source

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