Author(s)
Term
4. term
Education
Publication year
2015
Submitted on
2015-06-08
Pages
43 pages
Abstract
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.
Keywords
Big Data ; MapReduce ; Spark ; FMapReduce ; IFMapReduce ; Fsharp ; F# ; Fsharp interactive ; IFDataset ; Code Quotations
Documents
Colophon: This page is part of the AAU Student Projects portal, which is run by Aalborg University. Here, you can find and download publicly available bachelor's theses and master's projects from across the university dating from 2008 onwards. Student projects from before 2008 are available in printed form at Aalborg University Library.
If you have any questions about AAU Student Projects or the research registration, dissemination and analysis at Aalborg University, please feel free to contact the VBN team. You can also find more information in the AAU Student Projects FAQs.