Sökning: "MapReduce"

Visar resultat 21 - 25 av 33 uppsatser innehållade ordet MapReduce.

  1. 21. Evaluation and Comparison of Programming Frameworks for Shared Memory Multicore Systems

    Master-uppsats, Linköpings universitet/Programvara och system; Linköpings universitet/Tekniska högskolan

    Författare :Silvén Mikael; [2014]
    Nyckelord :;

    Sammanfattning : In this masters thesis we explore past work trying to classify algorithmic problems. These classications are used to select problems for evaluating dierent programming languages and frameworks. We use a subset of the 13 Dwarfs of Berkeley, more specically: dense and sparse linear algebra, spectral methods, graph traversal and MapReduce. LÄS MER

  3. 22. Research and optimization of the Bloom filter algorithm in Hadoop

    Master-uppsats, Institutionen för informationsteknologi

    Författare :Bing Dong; [2013]
    Nyckelord :;

    Sammanfattning : An increasing number of enterprises have the need of transferring data from a traditional database to a cloud-computing system. Big data in Teradata (a data warehouse) often needs to be transferred to Hadoop, a distributed system, for further computing and analysis. However, if data stored in Teradata is not synced with Hadoop, e.g. LÄS MER

  4. 23. Optimizing Hadoop Parameters Based on the Application Resource Consumption

    Master-uppsats, Institutionen för informationsteknologi

    Författare :Ziad Benslimane; [2013]
    Nyckelord :;

    Sammanfattning : The interest in analyzing the growing amounts of data has encouraged the deployment of large scale parallel computing frameworks such as Hadoop. In other words, data analytic is the main reason behind the success of distributed systems; this is due tothe fact that data might not fit on a single disk, and that processing can be very time consuming which makes parallel input analysis very useful. LÄS MER

  5. 24. Cloud Bursting Transcoder Nodes

    Magister-uppsats, Institutionen för datavetenskap

    Författare :Thomas Rondahl; [2013]
    Nyckelord :;

    Sammanfattning : Within each web service there is a bottleneck which limits the maximum throughput. In this thesis the bottleneck of the media web service is in the task of transcoding. We explore the option of creating new transcoding nodes on-demand to deal with the computationally expensive task of video transcoding. LÄS MER

  7. 25. Techniques and applications of earlyapproximate results for big-dataanalytics

    Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Författare :Vaidas Brundza; [2013]
    Nyckelord :;

    Sammanfattning : The amount of data processed by large-scale data processing frameworks is overwhelming. To improve the efficiency, such frameworks employ data parallelization and similar techniques. However, the expectations are growing: near real-time data analysis is desired. MapReduce is one of the most common large-scale data processing models in the area. LÄS MER