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

Finansiell ekonomi, Helsingfors

Arcada University of Applied Sciences

Forskningsoutput: Kapitel i bok/rapport/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review

8 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.

Originalspråk	Engelska
Titel på värdpublikation	New Perspectives in Information Systems and Technologies
Antal sidor	11
Volym	1
Förlag	Springer Verlag
Utgivningsdatum	01.01.2014
Sidor	559-569
ISBN (tryckt)	978-3-319-05950-1
ISBN (elektroniskt)	978-3-319-05951-8
DOI	https://doi.org/10.1007/978-3-319-05951-8_53
Status	Publicerad - 01.01.2014
MoE-publikationstyp	A4 Artikel i en konferenspublikation
Evenemang	2014 World Conference on Information Systems and Technologies, WorldCIST 2014 - Madeira, Portugal Varaktighet: 15.04.2014 → 18.04.2014

Publikationsserier

Namn	Advances in Intelligent Systems and Computing (AISC)
Volym	275
ISSN (tryckt)	2194-5357

Nyckelord

512 Företagsekonomi

Åtkomst av dokument

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

OpenUrl-tillgänglighet

Fulltext

Andra filer och länkar

Link to publication in Scopus

Citera det här

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

@inproceedings{b7f835cba74e480c842e83cf2076d8bc,

title = "A Generalized Scalable Software Architecture for Analyzing Temporally Structured Big Data in the Cloud",

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.",

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",

author = "Magnus Westerlund and Ulf Hedlund and G{\"o}ran Pulkkis and Bj{\"o}rk, \{Kaj Mikael\}",

year = "2014",

month = jan,

day = "1",

doi = "10.1007/978-3-319-05951-8\_53",

language = "English",

isbn = "978-3-319-05950-1",

volume = "1",

series = "Advances in Intelligent Systems and Computing (AISC)",

publisher = "Springer Verlag",

pages = "559--569",

booktitle = "New Perspectives in Information Systems and Technologies",

address = "Germany",

note = "2014 World Conference on Information Systems and Technologies, WorldCIST 2014 ; Conference date: 15-04-2014 Through 18-04-2014",

}

Westerlund , M, Hedlund, U, Pulkkis, G & Björk, KM 2014, A Generalized Scalable Software Architecture for Analyzing Temporally Structured Big Data in the Cloud. i New Perspectives in Information Systems and Technologies. vol. 1, Advances in Intelligent Systems and Computing (AISC), vol. 275, Springer Verlag, s. 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. s. 559-569 (Advances in Intelligent Systems and Computing (AISC); Vol. 275).

Forskningsoutput: Kapitel i bok/rapport/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review

TY - GEN

T1 - A Generalized Scalable Software Architecture for Analyzing Temporally Structured Big Data in the Cloud

AU - Westerlund , Magnus

AU - Hedlund, Ulf

AU - Pulkkis, Göran

AU - Björk, Kaj Mikael

PY - 2014/1/1

Y1 - 2014/1/1

N2 - 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.

AB - 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.

KW - Predictive analytics

KW - Runtime models

KW - Selfadaptive systems

KW - System-level design

KW - Temporal data

KW - 512 Business and Management

KW - predictive analytics

KW - temporal data

KW - system-level design

KW - selfadaptive systems

KW - runtime models

UR - https://www.scopus.com/pages/publications/84904685863

U2 - 10.1007/978-3-319-05951-8_53

DO - 10.1007/978-3-319-05951-8_53

M3 - Conference contribution

AN - SCOPUS:84904685863

SN - 978-3-319-05950-1

VL - 1

T3 - Advances in Intelligent Systems and Computing (AISC)

SP - 559

EP - 569

BT - New Perspectives in Information Systems and Technologies

PB - Springer Verlag

T2 - 2014 World Conference on Information Systems and Technologies, WorldCIST 2014

Y2 - 15 April 2014 through 18 April 2014

ER -

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

Sammanfattning

Publikationsserier

Nyckelord

Åtkomst av dokument

OpenUrl-tillgänglighet

Andra filer och länkar

Fingeravtryck

Citera det här