Federated data warehousing application framework and platform-as-a-services model virtual data marts in the clouds

Nguyen, B. ORCID: https://orcid.org/0000-0002-2260-8186, Wagner, F. ORCID: https://orcid.org/0000-0003-3429-2374, & Schoepp, W. ORCID: https://orcid.org/0000-0001-5990-423X (2014). Federated data warehousing application framework and platform-as-a-services model virtual data marts in the clouds. International Journal of Intelligent Information and Database Systems 8 (3) 280-294. 10.1504/IJIIDS.2014.066635.

Full text not available from this repository.

Abstract

Each federated data warehousing system contains a data warehouse and a class of data marts. Building and maintaining such systems are painful processes. In this paper, we propose our approach to improve these processes. First, a cloud-based federated data warehousing system architecture, description of which is specified in a formal manner, is introduced. Afterwards, Unified Modelling Language (UML) is used to design the conceptual model. In this context, a cloud-based federated data warehousing application framework and its components, i.e., global data warehouse and linked virtual data marts, as well as its services, i.e., platform-as-a-services, software-as-a-services are modelled. Hereafter, the GAINS model is presented as an implementation example to proof of our concepts.

Item Type:	Article
Uncontrolled Keywords:	federated; data warehouse; DWH; data mart; DM; greenhouse gas - air pollution interactions and synergies; GAINS; optimisation; Unified Modelling Language; UML; online analytical processing; OLAP
Research Programs:	Air Quality & Greenhouse Gases (AIR) Mitigation of Air Pollution (MAG)
Bibliographic Reference:	International Journal of Intelligent Information and Database Systems; 8(3):280-294 (January 2014) (Published online 2 January 2015)
Depositing User:	IIASA Import
Date Deposited:	15 Jan 2016 08:50
Last Modified:	27 Aug 2021 17:23
URI:	https://pure.iiasa.ac.at/10781

Actions (login required)

View Item