Results 111 to 120 of about 54,414 (244)

Positive and negative association rule mining in Hadoop’s MapReduce environment

Journal of Big Data, 2019
In this paper, we present a Hadoop implementation of the Apriori algorithm. Using Hadoop’s distributed and parallel MapReduce environment, we present an architecture to mine positive as well as negative association rules in big data using frequent ...
S. Bagui, Probal Chandra Dhar
semanticscholar   +1 more source

面向大数据场景的系统性能优化实践

大数据
在现有大规模分布式环境中，大数据应用的性能与计算效率仍有较大的提升空间。然而，在大规模环境中进行性能分析与优化需要大量领域专家。针对大数据应用中的性能优化问题，提出了一个通用的低效查询语句检测与优化流程，总结了4类显著影响大数据应用性能的低效行为，并针对每一类低效行为，提出了具体的优化策略。最后，通过实验评估验证了提出的优化方案在实际大规模集群中的有效性。
王冀彬, 杨海龙, 冯凯, 孙欣, 张敏达, 雷克伦, 肖智文, 张逸飞, 吴佳熙
doaj   +1 more source

Research on Advanced Streaming Processing on Apache Spark

International Journal of Industrial Engineering and Production Research, 2021
The Today’s digital world computations are tremendously difficult and always demands for essential requirements to significantly process and store enormous size of datasets for wide variety of applications.
A.K.V.K Sasikanthr, K. Samatha, N. Deshai, B.V.D.S Sekhar, S. Venkatramana   +4 more
doaj  

A Survey on Job Scheduling in Big Data

Cybernetics and Information Technologies, 2016
Big Data Applications with Scheduling becomes an active research area in last three years. The Hadoop framework becomes very popular and most used frameworks in a distributed data processing.
Senthilkumar M., Ilango P.
doaj   +1 more source

Comparison of Hadoop Mapreduce and Apache Spark in Big Data Processing with Hgrid247-DE

Journal of Applied Informatics and Computing
In today’s rapidly evolving information technology landscape, managing and analyzing big data has become one of the most significant challenges. This paper explores the implementation of two major frameworks for big data processing: Hadoop MapReduce and ...
Firmania Dwi Utami, Femi Dwi Astuti
doaj   +1 more source

CRSExtractor: Automated configuration option read sites extraction towards IoT cloud infrastructure. [PDF]

Heliyon, 2023
Liu Y, Wang W, Jia Y, Xu S, Liu Z.
europepmc   +1 more source

Exploring the effects and potential of unlocked I/O-powered single board computer clusters. [PDF]

Sci Rep
Lee Y, Park D.
europepmc   +1 more source

Distributed large-scale graph processing on FPGAs. [PDF]

J Big Data, 2023
Sahebi A, Barbone M, Procaccini M, Luk W, Gaydadjiev G, Giorgi R.   +5 more
europepmc   +1 more source

Enhancing performance of E-Government information systems with SSD-based Hadoop mapreduce. [PDF]

Sci Rep
Ishengoma F.
europepmc   +1 more source

Twitter data emotion analysis using Hadoop and metaheuristic optimized Graphical Neural Network. [PDF]

Front Artif Intell
Wang X, Li Y, Chen F.
europepmc   +1 more source