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9 results for “Hadoop/MapReduce”
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Research ArticleOpen accessEvery word in the titleA Modified Key Partitioning for BigData Using MapReduce in HadoopGothai Ekambaram, Balasubramanie PalanisamyIn the period of BigData, massive amounts of structured and unstructured data are being created every day by a multitude of ever-present sources. BigData is complicated to work with and needs extremely parallel software executing on a huge number of computers. MapReduce is a current programming model that makes simpler writing distributed applications which manipulate BigData. In order to make … …Journal of Computer Science, Vol. 11, Issue 3 · 15 Apr 2015 · 6,858 accessesView PDFCite
Review ArticleOpen accessIn the keywordsBig Data Characteristics, Architecture, Technologies and ApplicationsWisam A. Qader, Musa M. Ameen, Bilal Ismael AhmedBig Data is a vast volume of data that is not easy to be stored or processed with conventional approaches within a limited period. Therefore, to manage and extract value from it, a new architecture, method and analysis are needed. Big Data poses many challenges and problems and it has different properties such as volume, velocity, variety and veracity. The … …Journal of Computer Science, Vol. 16, Issue 6 · 22 Jun 2020 · 8,088 accessesView PDFCite
Literature ReviewOpen accessIn the keywordsOnline Traffic Measurement and Analysis in Big Data: Comparative Research ReviewLena T. Ibrahim, Rosilah Hassan, Kamsuriah Ahmad et al.The Internet traffic measurement and analysis is important to avoid many problems of data transferring via online networks such as data losing and slow data transferring. The Internet traffic measuring and analysis could be effective to avoid the data transferring challenges. The Internet traffic measuring and analysis flexibility is important due to many reasons such as dynamicity of transferred data … …American Journal of Applied Sciences, Vol. 13, Issue 4 · 27 Apr 2016 · 7,711 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCircumventing Picture Archiving and Communication Systems Server with Hadoop Framework in Health Care ServicesGopinath Ganapathy, S. SagayarajProblem statement: Features and challenges of the PACS server solutions are elaborated in the context of large scale computing. Approach: Hadoop is a pivotal piece of the data mining renaissance offers the ability to tackle large data sets in ways that weren’t previously feasible and clarifies certain functionalities such as MapReducer and Hadoop distributed file system. Results: The PACS server … …Journal of Social Sciences, Vol. 6, Issue 3 · 30 Sep 2010 · 8,088 accessesView PDFCite
Review ArticleOpen accessIn the keywordsBig Data and its Future in Computational Biology: A Literature ReviewIman Ahmed ElSayed, Kamal ElDahshan, Hesham Hefny, Eman Karam ElSayedBig data technologies are used majorly for computational biology research nowadays due to the emerge of massive amounts of biological data that have been generated and collected at an unprecedented speed and scale and with different structures. As an example, the processing of billions of DNA sequence data per day represents the new generation of sequencing technologies. It is expected … …Journal of Computer Science, Vol. 17, Issue 12 · 31 Dec 2021 · 6,598 accessesView PDFCite
Review ArticleOpen accessIn the keywordsConfluences among Big Data, Finite Element Analysis and High Performance ComputingLidong Wang, Guanghui Wang, Cheryl Ann AlexanderBig Data analyzes correlations from huge raw data and predicts outcomes. It has great impacts on scientific discoveries and value creation. High Performance Computing (HPC) uses parallel processing and advanced programs or software packages to complete complicated jobs quickly. Finite Element Method (FEM) is very powerful in scientific computation and engineering analysis. It has created huge values in almost every … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 15 Jul 2015 · 8,066 accessesView PDFCite
Research ArticleOpen accessIn the abstractE-GENMR: Enhanced Generalized Query Processing using Double Hashing Technique through MapReduce in Cloud Database Management SystemShweta Malhotra, Mohammad Najmud Doja, Bashir Alam, Mansaf AlamBig Data, Cloud computing and Data Science is the booming future of IT industries. The common thing among all the new techniques is that they deal with not just Data but Big Data. Users store various kinds of data on cloud repositories. Cloud Database Management System deals with these large sets of data. Cloud Database service provider deals with many … …Journal of Computer Science, Vol. 13, Issue 7 · 14 Jul 2017 · 7,566 accessesView PDFCite
Research ArticleOpen accessIn the abstractMAPREDUCE CHALLENGES ON PERVASIVE GRIDSL. A. Steffenel, O. Flauzac, A. S. Charao et al.This study presents the advances on designing and implementing scalable techniques to support the development and execution of MapReduce application in pervasive distributed computing infrastructures, in the context of the PER-MARE project. A pervasive framework for MapReduce applications is very useful in practice, especially in those scientific, enterprises and educational centers which have many unused or underused computing resources, which … …Journal of Computer Science, Vol. 10, Issue 11 · 24 Jul 2014 · 9,834 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordMatching LSI for Scalable Information RetrievalRajagopal Palsonkennedy, T. V. GopalLatent Semantic Indexing (LSI) is one of the well-liked techniques in the information retrieval fields. Different from the traditional information retrieval techniques, LSI is not based on the keyword matching simply. It uses statistics and algebraic computations. Based on Singular Value Decomposition (SVD), the higher dimensional matrix is converted to a lower dimensional approximate matrix, of which the noises could … …Journal of Computer Science, Vol. 8, Issue 12 · 2 Jan 2013 · 6,668 accessesView PDFCite