Sharing large data collections using data services in cloud environment
Purpose – Data service (DS) is a special software service that enables data access in cloud environment and provides a unified data model for cross-origination data integration and data sharing. The purpose of the work is to automatically compose DSs and quickly generate data view to satisfy users&...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Emerald Publishing
2022-05-01
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| Series: | Journal of Intelligent Manufacturing and Special Equipment |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/JIMSE-01-2022-0003/full/pdf?title=sharing-large-data-collections-using-data-services-in-cloud-environment |
| _version_ | 1811208199414480896 |
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| author | Qi Ji Yuanming Zhang Gang Xiao Hongfang Zhou Zheng Lin |
| author_facet | Qi Ji Yuanming Zhang Gang Xiao Hongfang Zhou Zheng Lin |
| author_sort | Qi Ji |
| collection | DOAJ |
| description | Purpose – Data service (DS) is a special software service that enables data access in cloud environment and provides a unified data model for cross-origination data integration and data sharing. The purpose of the work is to automatically compose DSs and quickly generate data view to satisfy users' various data requirements (DRs). Design/methodology/approach – The paper proposes an automatic DS composition and view generation approach. DSs are organized into DS dependence graph (DSDG) based on their inherent dependences, and DSs can be automatically composed using the DSDG according to user's DRs. Then, data view will be generated by interpreting the composed DS. Findings – Experimental results with real cross-origination data sets show the proposed approaches have high efficiency and good quality for DS composition and view generation. Originality/value – The authors propose a DS composition algorithm and a data view generation algorithm according to users' DRs. |
| first_indexed | 2024-04-12T04:18:09Z |
| format | Article |
| id | doaj.art-bbaf0bbd1e22451fb2ac62c8cf6dc80f |
| institution | Directory Open Access Journal |
| issn | 2633-6596 2633-660X |
| language | English |
| last_indexed | 2024-04-12T04:18:09Z |
| publishDate | 2022-05-01 |
| publisher | Emerald Publishing |
| record_format | Article |
| series | Journal of Intelligent Manufacturing and Special Equipment |
| spelling | doaj.art-bbaf0bbd1e22451fb2ac62c8cf6dc80f2022-12-22T03:48:20ZengEmerald PublishingJournal of Intelligent Manufacturing and Special Equipment2633-65962633-660X2022-05-0131486610.1108/JIMSE-01-2022-0003682929Sharing large data collections using data services in cloud environmentQi Ji0Yuanming Zhang1Gang Xiao2Hongfang Zhou3Zheng Lin4College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, ChinaCollege of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, ChinaCollege of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, ChinaZhejiang Xizi Fuward Electric Motor Corporation, Hangzhou, ChinaZhejiang Academy of Equipment Science, Hangzhou, ChinaPurpose – Data service (DS) is a special software service that enables data access in cloud environment and provides a unified data model for cross-origination data integration and data sharing. The purpose of the work is to automatically compose DSs and quickly generate data view to satisfy users' various data requirements (DRs). Design/methodology/approach – The paper proposes an automatic DS composition and view generation approach. DSs are organized into DS dependence graph (DSDG) based on their inherent dependences, and DSs can be automatically composed using the DSDG according to user's DRs. Then, data view will be generated by interpreting the composed DS. Findings – Experimental results with real cross-origination data sets show the proposed approaches have high efficiency and good quality for DS composition and view generation. Originality/value – The authors propose a DS composition algorithm and a data view generation algorithm according to users' DRs.https://www.emerald.com/insight/content/doi/10.1108/JIMSE-01-2022-0003/full/pdf?title=sharing-large-data-collections-using-data-services-in-cloud-environmentdata servicedata service compositiondata viewcloud computing |
| spellingShingle | Qi Ji Yuanming Zhang Gang Xiao Hongfang Zhou Zheng Lin Sharing large data collections using data services in cloud environment Journal of Intelligent Manufacturing and Special Equipment data service data service composition data view cloud computing |
| title | Sharing large data collections using data services in cloud environment |
| title_full | Sharing large data collections using data services in cloud environment |
| title_fullStr | Sharing large data collections using data services in cloud environment |
| title_full_unstemmed | Sharing large data collections using data services in cloud environment |
| title_short | Sharing large data collections using data services in cloud environment |
| title_sort | sharing large data collections using data services in cloud environment |
| topic | data service data service composition data view cloud computing |
| url | https://www.emerald.com/insight/content/doi/10.1108/JIMSE-01-2022-0003/full/pdf?title=sharing-large-data-collections-using-data-services-in-cloud-environment |
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