On-Demand Big Data Analysis in Digital Repositories

Xie, Zhiwu; Chen, Yinlin; Jiang, Tingting; Griffin, Julie; Walters, Tyler; Tarazaga, Pablo Alberto; Kasarda, Mary

On-Demand Big Data Analysis in Digital Repositories

dc.contributor.author	Xie, Zhiwu	en
dc.contributor.author	Chen, Yinlin	en
dc.contributor.author	Jiang, Tingting	en
dc.contributor.author	Griffin, Julie	en
dc.contributor.author	Walters, Tyler	en
dc.contributor.author	Tarazaga, Pablo Alberto	en
dc.contributor.author	Kasarda, Mary	en
dc.date.accessioned	2016-06-26T15:22:24Z	en
dc.date.available	2016-06-26T15:22:24Z	en
dc.date.issued	2015-12-18	en
dc.description.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.	en
dc.identifier.doi	https://doi.org/10.1007/978-3-319-27974-9_29	en
dc.identifier.isbn	978-3-319-27973-2	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	http://hdl.handle.net/10919/71473	en
dc.identifier.volume	9469	en
dc.language.iso	en_US	en
dc.publisher	Springer International Publishing	en
dc.relation.ispartof	17th International Conference on Asia-Pacific Digital Libraries, ICADL 2015, Seoul, Korea, December 9-12, 2015	en
dc.relation.ispartofseries	Lecture Notes in Computer Science;	en
dc.rights	Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	en
dc.subject	Big data	en
dc.subject	Data management	en
dc.subject	Docker	en
dc.subject	Scholarly digital divide	en
dc.subject	Use and reuse driven approach	en
dc.title	On-Demand Big Data Analysis in Digital Repositories	en
dc.title.serial	Digital Libraries: Providing Quality Information	en
dc.type	Book chapter	en