IFMapReduce: Interactive analysis of Big Data
Studenteropgave: Kandidatspeciale og HD afgangsprojekt
- Christian Møller Jensen
- Lars Harald Larsen
4. semester, Software, Kandidat (Kandidatuddannelse)
This report investigates the opportunities for interactive analysis of Big Data on the .NET platform through F# Interactive. This investigation includes the design of a programming framework called IFMapReduce which uses F# Code Quotations to facilitate code shipping in cluster computing.
A prototype of IFMapReduce have been implemented and evaluated through benchmarks using Pagerank and Wordcount algorithms. In addition the report present several suggestions to improve IFMapReduce and its prototype.
A prototype of IFMapReduce have been implemented and evaluated through benchmarks using Pagerank and Wordcount algorithms. In addition the report present several suggestions to improve IFMapReduce and its prototype.
Sprog | Engelsk |
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Udgivelsesdato | 8 jun. 2015 |
Antal sider | 43 |
Emneord | Big Data, MapReduce, Spark, FMapReduce, IFMapReduce , Fsharp, F#, Fsharp interactive, IFDataset, Code Quotations |
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