Sharing large data collections using data services in cloud environment
| Autor: | Qi Ji, Yuanming Zhang, Gang Xiao, Hongfang Zhou, Zheng Lin |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journal of Intelligent Manufacturing and Special Equipment, Vol 3, Iss 1, Pp 48-66 (2022) |
| Druh dokumentu: | article |
| ISSN: | 2633-6596 2633-660X |
| DOI: | 10.1108/JIMSE-01-2022-0003/full/pdf?title=sharing-large-data-collections-using-data-services-in-cloud-environment |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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