A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing
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...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2013
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| Online Access: | http://irep.iium.edu.my/33965/ http://irep.iium.edu.my/33965/1/1757-899X_53_1_012043.pdf |
| _version_ | 1848780832782680064 |
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| author | Alzeini, Haytham I M Hameed, Shihab A. Habaebi, Mohamed Hadi |
| author_facet | Alzeini, Haytham I M Hameed, Shihab A. Habaebi, Mohamed Hadi |
| author_sort | Alzeini, Haytham I M |
| building | IIUM Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T15:39:56Z |
| format | Article |
| id | iium-33965 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:39:56Z |
| publishDate | 2013 |
| publisher | IOP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-339652014-01-08T06:53:58Z http://irep.iium.edu.my/33965/ A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing Alzeini, Haytham I M Hameed, Shihab A. Habaebi, Mohamed Hadi TK5101 Telecommunication. Including telegraphy, radio, radar, television 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. IOP Publishing 2013-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/33965/1/1757-899X_53_1_012043.pdf Alzeini, Haytham I M and Hameed, Shihab A. and Habaebi, Mohamed Hadi (2013) A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing. IOP Conference Series: Materials Science and Engineering, 53 (Conf.1). 012043-1. ISSN 1757-8981 http://iopscience.iop.org/1757-899X/53/1/012043 10.1088/1757-899X/53/1/012043 |
| spellingShingle | TK5101 Telecommunication. Including telegraphy, radio, radar, television Alzeini, Haytham I M Hameed, Shihab A. Habaebi, Mohamed Hadi A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing |
| title | A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing |
| title_full | A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing |
| title_fullStr | A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing |
| title_full_unstemmed | A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing |
| title_short | A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing |
| title_sort | framework for developing real-time olap algorithm using multi-core processing and gpu: heterogeneous computing |
| topic | TK5101 Telecommunication. Including telegraphy, radio, radar, television |
| url | http://irep.iium.edu.my/33965/ http://irep.iium.edu.my/33965/ http://irep.iium.edu.my/33965/ http://irep.iium.edu.my/33965/1/1757-899X_53_1_012043.pdf |