A Generalized Scalable Software Architecture for Analyzing Temporally Structured Big Data in the Cloud

Magnus Westerlund , Ulf Hedlund, Göran Pulkkis, Kaj Mikael Björk

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

6 Citeringar (Scopus)

Sammanfattning

Software architectures that allow researchers to explore advanced modeling by scaling horizontally in the cloud can lead to new insights and improved accuracy of modeling results. We propose a generalized highly scalable information system architecture that researchers can employ in predictive analytics research for working with both historical data and real-time temporally structured big data. The proposed architecture is fully automated and uses the same analytical software for both training and live predictions.

OriginalspråkEngelska
Titel på gästpublikationNew Perspectives in Information Systems and Technologies
Antal sidor11
Volym1
FörlagSpringer Verlag
Utgivningsdatum01.01.2014
Sidor559-569
ISBN (tryckt)978-3-319-05950-1
ISBN (elektroniskt)978-3-319-05951-8
DOI
StatusPublicerad - 01.01.2014
MoE-publikationstypA4 Artikel i en konferenspublikation
Evenemang2014 World Conference on Information Systems and Technologies, WorldCIST 2014 - Madeira, Portugal
Varaktighet: 15.04.201418.04.2014

Publikationsserier

NamnAdvances in Intelligent Systems and Computing (AISC)
Volym275
ISSN (tryckt)2194-5357

Nyckelord

  • 512 Företagsekonomi

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