A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing

• Main Authors: Alzeini, Haytham I M, Hameed, Shihab A., Habaebi, Mohamed Hadi
• Format: Article
• Language: English
• Published: IOP Publishing 2013
• Subjects: TK5101 Telecommunication. Including telegraphy, radio, radar, television
• Online Access: http://irep.iium.edu.my/33965/1/1757-899X_53_1_012043.pdf; http://irep.iium.edu.my/33965/; http://iopscience.iop.org/1757-899X/53/1/012043
• Institution: Universiti Islam Antarabangsa Malaysia

The overwhelmingly increasing amount of stored data has spurred researchers seeking different methods in order to optimally take advantage of it which mostly have faced a response time problem as a result of this enormous size of data. Most of solutions have suggested materialization as a favourite solution. However, such a solution cannot attain Real-Time answers anyhow. In this paper we propose a framework illustrating the barriers and suggested solutions in the way of achieving Real-Time OLAP answers that are significantly used in decision support systems and data warehouses.