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

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

doi:10.1007/978-3-319-05951-8_53

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

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

Finance, Helsinki

Arcada University of Applied Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

7 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	New Perspectives in Information Systems and Technologies
Number of pages	11
Volume	1
Publisher	Springer Verlag
Publication date	01.01.2014
Pages	559-569
ISBN (Print)	978-3-319-05950-1
ISBN (Electronic)	978-3-319-05951-8
DOIs	https://doi.org/10.1007/978-3-319-05951-8_53
Publication status	Published - 01.01.2014
MoE publication type	A4 Article in conference proceedings
Event	2014 World Conference on Information Systems and Technologies, WorldCIST 2014 - Madeira, Portugal Duration: 15.04.2014 → 18.04.2014

Publication series

Name	Advances in Intelligent Systems and Computing (AISC)
Volume	275
ISSN (Print)	2194-5357

Keywords

Predictive analytics
Runtime models
Selfadaptive systems
System-level design
Temporal data
512 Business and Management
predictive analytics
temporal data
system-level design
selfadaptive systems
runtime models

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Westerlund , M., Hedlund, U., Pulkkis, G., & Björk, K. M. (2014). A Generalized Scalable Software Architecture for Analyzing Temporally Structured Big Data in the Cloud. In New Perspectives in Information Systems and Technologies (Vol. 1, pp. 559-569). (Advances in Intelligent Systems and Computing (AISC); Vol. 275). Springer Verlag. https://doi.org/10.1007/978-3-319-05951-8_53

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Westerlund , M, Hedlund, U, Pulkkis, G & Björk, KM 2014, A Generalized Scalable Software Architecture for Analyzing Temporally Structured Big Data in the Cloud. in New Perspectives in Information Systems and Technologies. vol. 1, Advances in Intelligent Systems and Computing (AISC), vol. 275, Springer Verlag, pp. 559-569, 2014 World Conference on Information Systems and Technologies, WorldCIST 2014, Madeira, Portugal, 15.04.2014. https://doi.org/10.1007/978-3-319-05951-8_53

A Generalized Scalable Software Architecture for Analyzing Temporally Structured Big Data in the Cloud. / Westerlund , Magnus ; Hedlund, Ulf ; Pulkkis, Göran et al.
New Perspectives in Information Systems and Technologies. Vol. 1 Springer Verlag, 2014. p. 559-569 (Advances in Intelligent Systems and Computing (AISC); Vol. 275).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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

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