Cloud intelligent services for calculating emissions and costs of air pollutants and greenhouse gases

Cloud intelligent services for calculating emissions and costs of air pollutants and greenhouse gases

Authors:   Nguyen B, Wagner F, Schoepp W

Publication Year:   2011

Reference:  In Intelligent Information and Database Systems (ACIIDS2011), NT Nguyen, CG Kim, A Janiak (eds)
Springer, Heidelberg, Germany pp.159-168

Lecture Notes in Computer Science, Vol. 6591/2011

Abstract

The GAINS (Greenhouse gas - Air pollution Interactions and Synergies) model quantifies the full DPSIR (demand-pressure-state-impact-response) chain for the emissions of air pollutants and greenhouse gases. To fulfill regional specific requirements of the GAINS model, we have studied and developed a cloud intelligent service system for calculating emissions and costs for reducing emissions at regional as well as global levels. In this paper, first we present a cloud intelligent conceptual model that is used to specify an application framework, namely GAINS cloud intelligent application framework. Using this application framework, first we build a global data warehouse called GAINS DWH World, then a class of regional data warehouses, e.g. GAINS DWH Europe, GAINS DWH Asia, etc., are specified and used for regional data analysis and cost optimization.
KEYWORDS: GAINS; Cloud intelligence; Data Warehouse

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