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30 articles for “Big Data Processing”
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Research ArticleOpen accessIn the abstractPerformance Evaluation of Apache Spark Vs MPI: A Practical Case Study on Twitter Sentiment AnalysisDeepa S Kumar, M Abdul RahmanThe advent of various processing frameworks which happens under big data technologies is due to tremendous dataset size and its complexity. The speed of execution was much higher with High Performance computing frameworks rather than big data processing frameworks. As majority of the jobs under big data are mostly data intensive rather than computation intensive, the High Performance Computing paradigms … …Journal of Computer Science, Vol. 13, Issue 12 · 23 Dec 2017 · 8,070 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
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,756 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 accessIn the abstractAN EFFECTIVE OPTIMIZED GENETIC ALGORITHM FOR SCALABLE INFORMATION RETRIEVAL FROM CLOUD USING BIG DATAR. Palson Kennedy, T. V. GopalThe distributed computations are broadly used in the current world for processing large scale jobs. For data intensive applications with big data, it has recently received a very good attention. A simple programming model that allows easy development of scalable parallel applications to process big data on large clusters was required. In our proposed work the input files will be … …Journal of Computer Science, Vol. 10, Issue 6 · 31 Jan 2014 · 6,671 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Global Positioning System Data for Offshore Platform DeformationAbdul Nasir Matori, Nurrohmat WidjajantiProblem statement: Reservoir compaction and shallow gas migration phenomena may cause offshore platform to experience deformation which if happens excessively will affect their structural integrity. Approach: Hence it is crucial to monitor and quantify the magnitude of the deformation especially if they are not uniform throughout the platform structure. However since mostly the offshore platforms are few hundreds kilometers away … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 1 · 27 Jan 2011 · 8,698 accessesView PDFCite
Research ArticleOpen accessIn the abstractParallelisation of Algorithms of Mathematical MorphologyAbdallah Boukerram, Samira A.K. AzzouThe tools of mathematical morphology developed within the framework of the image processing, require of big capacity of data and the very high costs of execution. So today, the limits of the sequential machines are not to be any more to show, the passage in the new parallel machines of type Simd, Mimd, clusters or grids is imperative. This paper … …Journal of Computer Science, Vol. 2, Issue 8 · 31 Aug 2006 · 6,237 accessesView PDFCite
Technical ReportOpen accessAll words, across the recordEffects of Design Factors of HDFS on I/O PerformanceHan-Gyoo KimFour major design factors of HDFS, the block size, the number of data nodes, the number of client processes and replication factor are investigated to find out the effects on the I/O performance of HDFS by performing experiments in a real physical HDFS infrastructure consisting of 64 Hadoop data nodes of Intel i9 based blades. The block size is observed … …Journal of Computer Science, Vol. 14, Issue 3 · 13 Mar 2018 · 7,987 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordProcessing Large Volume of Biometric Data in the Hadoop Single Cluster Node EnvironmentJayakumar Vaithiyashankar, Shohel Sayeed, Anang Muhammad AminIn big data evolution, the analysis of large scale data and scrutinizing the required vital information becomes very demanding task. The emerging cloud platform promises and gives hope in handling the enormous volume of data. Hence, a new kind of methodology is required to tap the full potential of leveraging the big data analytics over the biometric data. In this … …American Journal of Applied Sciences, Vol. 14, Issue 12 · 27 Oct 2017 · 8,521 accessesView PDFCite