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2017 | OriginalPaper | Buchkapitel

Managing Lifecycle of Big Data Applications

verfasst von : Ivan Ermilov, Axel-Cyrille Ngonga Ngomo, Aad Versteden, Hajira Jabeen, Gezim Sejdiu, Giorgos Argyriou, Luigi Selmi, Jürgen Jakobitsch, Jens Lehmann

Erschienen in: Knowledge Engineering and Semantic Web

Verlag: Springer International Publishing

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Abstract

The growing digitization and networking process within our society has a large influence on all aspects of everyday life. Large amounts of data are being produced continuously, and when these are analyzed and interlinked they have the potential to create new knowledge and intelligent solutions for economy and society. To process this data, we developed the Big Data Integrator (BDI) Platform with various Big Data components available out-of-the-box. The integration of the components inside the BDI Platform requires components homogenization, which leads to the standardization of the development process. To support these activities we created the BDI Stack Lifecycle (SL), which consists of development, packaging, composition, enhancement, deployment and monitoring steps. In this paper, we show how we support the BDI SL with the enhancement applications developed in the BDE project. As an evaluation, we demonstrate the applicability of the BDI SL on three pilots in the domains of transport, social sciences and security.

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Fußnoten
6
At the time of writing, more than 30 components are available in BDE Components Library.
 
43
The typical loading time for a set of images: 400 s.
 
44
The typical Spark job execution time for Change Detector: 1000 s.
 
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Metadaten
Titel
Managing Lifecycle of Big Data Applications
verfasst von
Ivan Ermilov
Axel-Cyrille Ngonga Ngomo
Aad Versteden
Hajira Jabeen
Gezim Sejdiu
Giorgos Argyriou
Luigi Selmi
Jürgen Jakobitsch
Jens Lehmann
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-69548-8_18

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