Sharing large data collections using data services in cloud environment

Abstract

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.

Keywords

• data service
• data service composition
• data view
• cloud computing