Essays about: "Hadoop MapReduce"

Showing result 1 - 5 of 18 essays containing the words Hadoop MapReduce.

  1. 1. Performance Prediction for Enabling Intelligent Resource Management on Big Data Processing Workflows

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Aleksandra Obeso Duque; [2018]
    Keywords : ;

    Abstract : Mobile cloud computing offers an augmented infrastructure that allows resource-constrained devices to use remote computational resources as an enabler for highly intensive computation, thus improving end users experience. Being able to efficiently manage cloud elasticity represents a big challenge for dynamic resource scaling on-demand. READ MORE

  3. 2. SQL on Hops

    University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Author : Fabio Buso; [2017]
    Keywords : ;

    Abstract : In today’s world data is extremely valuable. Companies and researchers store every sort of data, from users activities to medical records. However, data is useless if one cannot extract meaning and insight from it. In 2004 Dean and Ghemawat introduced the MapReduce framework. READ MORE

  4. 3. A Coordination Framework for Deploying Hadoop MapReduce Jobs on Hadoop Cluster

    University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Author : Anitha Raja; [2016]
    Keywords : Hadoop; Workload Characterization; Parametric Modeling; Coordination framework; OpenStack; Workload deployment; Hadoop; Arbetsbelastning Karakterisering; Parametrisk Utformning; Koordinations system; OpenStack; Arbetsbelastnings Utplacering;

    Abstract : Apache Hadoop is an open source framework that delivers reliable, scalable, and distributed computing. Hadoop services are provided for distributed data storage, data processing, data access, and security. MapReduce is the heart of the Hadoop framework and was designed to process vast amounts of data distributed over a large number of nodes. READ MORE

  5. 4. Implementation of the HadoopMapReduce algorithm on virtualizedshared storage systems

    University essay from

    Author : Shravya Nethula; [2016]
    Keywords : Hadoop; virtualized systems; shared storage; MapReduce; Hadoop Distributed File System;

    Abstract : Context Hadoop is an open-source software framework developed for distributed storage and distributed processing of large sets of data. The implementation of the Hadoop MapReduce algorithm on virtualized shared storage by eliminating the concept of Hadoop Distributed File System (HDFS) is a challenging task. READ MORE

  6. 5. Evaluation and benchmarking of Tachyon as a memory-centric distributed storage system for Apache Hadoop

    University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Author : Ioannis Kerkinos; [2016]
    Keywords : ;

    Abstract : Hadoop was developed as an open-source software framework that leveraged initially the MapReduce programming model and therefore was able to efficiently analyse and process large datasets. At the core of Hadoop is the Hadoop distributed file system or HDFS, which is used as the default storage across the cluster. READ MORE