Results 91 to 100 of about 36,780 (203)
Hadoop Çatısının Bulut Ortamında Gerçeklenmesi Ve Terabyte Sort Deneyleri
MANAS: Journal of Engineering, 2015 Hadoop framework employs MapReduce programming paradigm to process big data by distributing data across a cluster and aggregating. MapReduce is one of the methods used to process big data hosted on large clusters.
G. Ozen, R. Sultanov
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MASSIVE SIMULATIONS USING MAPREDUCE MODEL
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2015 In the last few years cloud computing is growing as a dominant solution for large scale numerical problems. It is based on MapReduce programming model, which provides high scalability and flexibility, but also optimizes costs of computing infrastructure.
Artur Krupa, Bartosz Sawicki
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Procedia Computer Science, 2015 AbstractDespite technological advances making computing devices faster, smaller, and more prevalent in today's age, data generation and collection has outpaced data processing capabilities. Simply having more compute platforms does not provide a means of addressing challenging problems in the big data era.
Vineyard, Craig M. +4 more
openaire +1 more source
MapReduce-Based D_ELT Framework to Address the Challenges of Geospatial Big Data
ISPRS International Journal of Geo-Information, 2019 The conventional extracting−transforming−loading (ETL) system is typically operated on a single machine not capable of handling huge volumes of geospatial big data.
Junghee Jo, Kang-Woo Lee
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mRNAs of plants and green algae lack the m7G cap‐1 structure
New Phytologist, Volume 246, Issue 2, Page 396-401, April 2025.
Chen Xiao +7 more
wiley +1 more source
Research on application of Hadoop in personnel positioning software system
Gong-kuang zidonghua, 2017 In order to solve the problem that existing personnel locating system can not meet large data access requirement of large-scale coal mines, Hadoop was proposed to be used in personnel positioning software system, and parallel computing model MapReduce ...
WANG Wei
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Zhejiang Daxue xuebao. Lixue ban, 2017 地理国情统计分析是深度研究地理国情普查数据的首要前提.针对现有单机集中式数据存储与处理方式存在耗时长、效率低甚至不支持的问题，设计了“格网索引+MapReduce”策略，基于规则格网设计普查数据文件的分块组织与分布式存储方式，研制了格网索引与空间分析相结合的双层过滤机制，构建基于MapReduce的地理国情并行统计算法.最后，与无索引MapReduce、ArcGIS平台进行性能对比测试，结果表明：“格网索引+ MapReduce”方法的统计效率远高于ArcGIS平台 ...
LINYaping(林雅萍) +3 more
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A Framework for Genetic Algorithms Based on Hadoop
, 2013 Genetic Algorithms (GAs) are powerful metaheuristic techniques mostly used in many real-world applications. The sequential execution of GAs requires considerable computational power both in time and resources. Nevertheless, GAs are naturally parallel and
Ferrucci, F +4 more
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Fast Matrix Multiplication with Big Sparse Data
Cybernetics and Information Technologies, 2017 Big Data becameabuzz word nowadays due to the evolution of huge volumes of data beyond peta bytes. This article focuses on matrix multiplication with big sparse data.
Somasekhar G., Karthikeyan K.
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A Parallel ETL Tool Based on an Improved Chain-MapReduce Framework
Dianxin kexue, 2013 The related work in parallel ETL and common methods to deal with multiple MapReduce jobs were introduced. Then an improved chain-MapReduce framework was presented, based on this framework,a parallel ETL tool was designed.
Bin Wu, Xinguang Liu
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