On-Demand Big Data Analysis in Digital Repositories

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Final submitted version (116.43 KB)
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Slides for presentation at ICADL 2015 (35.38 MB)
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Date

2015-12-18

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Journal ISSN

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Publisher

Springer International Publishing

Abstract

We describe a use and reuse driven digital repository integrated with lightweight data analysis capabilities provided by the Docker framework. Using building sensor data collected from the Virginia Tech Goodwin Hall Living La- boratory, we perform evaluations using Amazon EC2 and Container Service with a Fedora 4 repository backed with storage in Amazon S3. The results con- firm the viability and benefits of this approach.

Description

Keywords

Big data, Data management, Docker, Scholarly digital divide, Use and reuse driven approach

Citation

Persistent link

http://hdl.handle.net/10919/71473

Collections

Research and Informatics Division, University Libraries