Cloud business intelligent services to explore the synergies and interactions among climate change, air quality objectives

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 (2012). Cloud business intelligent services to explore the synergies and interactions among climate change, air quality objectives. DOI:10.1145/2347673.2347679. In: Proceedings of the 1st International Workshop on Cloud Intelligence (Cloud-I 2012).

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Abstract

In this paper, formal mathematical concepts of dimensions and their constrains, variables or facts, a well as of the optimization module are used to specify a GAINS (Greenhouse Gas - Air Pollution Interactions and Synergies) multi dimensional model. Hereafter, with UML (Unified Modeling Language), we model a Cloud-based Business Intelligent Application Framework, including a set of services grouped into Data warehousing Services and Business Intelligent Services. While the first group of services are used to specify GAINS data warehouse data models and their implementation workflows, key data of scientific analysis are published in a transparent manner to end-users or applications in international strategic decision making with multiple levels of information requiremets by using the second one.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Research Programs:	Air Quality & Greenhouse Gases (AIR) Mitigation of Air Pollution (MAG)
Bibliographic Reference:	In: J. Darmont, T.B. Pedersen (Workshop Chairs); Proceedings of the 1st International Workshop on Cloud Intelligence (Cloud-I 2012); - 31 August 2012, Istanbul, Turkey, ACM/ICPS, New York (Article #6)
Depositing User:	IIASA Import
Date Deposited:	15 Jan 2016 08:47
Last Modified:	27 Aug 2021 17:22
URI:	https://pure.iiasa.ac.at/10182

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