Optimizing OLAP heterogeneous computing based on Rabin-Karp algorithm
The enormous amount of data has been boundlessly growing over the last few decades and expected to exponentially do so in the future. However, a substantial size of this accumulated amount is discarded anyhow. The processing capabilities have been considered as one of the major barriers in the...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/33185/ http://irep.iium.edu.my/33185/1/Optimizing_OLAP_Heterogeneous_Computing_Based.pdf |
| _version_ | 1848780702083973120 |
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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 enormous amount of data has been boundlessly
growing over the last few decades and expected to exponentially
do so in the future. However, a substantial size of this
accumulated amount is discarded anyhow. The processing
capabilities have been considered as one of the major barriers in
the way of exploiting this priceless mine. Therefore, the issue has
absorbed considerable part of researchers’ concentration. OLAP
has been considered as a powerful method for analysing
excessive size of data that works closely to intelligent business,
medical fields. Yet, such a method will always need increasing
processing resources. Numerous enhancements have been
suggested in order to improve OLAP performance, part of them
has gone to the processing capabilities whereby parallel
processing has occupied a sizeable space. A heterogeneous
computing is a relatively recent approach that is being under
examination. In this paper, through experimental results and
based on Rabin-Karp Algorithm; we propose an optimized
heterogeneous solution that takes into account the benefits and
the boundaries in order to achieve a better OLAP performance
in terms of response time with three times gain. In the light of
our results; we present the achieved gain and possible future
trends.
Keywords— OLAP, heterogeneous computing, Rabin-Karp,
data mining, pattern recognition. |
| first_indexed | 2025-11-14T15:37:52Z |
| format | Proceeding Paper |
| id | iium-33185 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:37:52Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-331852013-12-09T07:25:17Z http://irep.iium.edu.my/33185/ Optimizing OLAP heterogeneous computing based on Rabin-Karp algorithm Alzeini, Haytham I M Hameed, Shihab A. Habaebi, Mohamed Hadi TK5101 Telecommunication. Including telegraphy, radio, radar, television The enormous amount of data has been boundlessly growing over the last few decades and expected to exponentially do so in the future. However, a substantial size of this accumulated amount is discarded anyhow. The processing capabilities have been considered as one of the major barriers in the way of exploiting this priceless mine. Therefore, the issue has absorbed considerable part of researchers’ concentration. OLAP has been considered as a powerful method for analysing excessive size of data that works closely to intelligent business, medical fields. Yet, such a method will always need increasing processing resources. Numerous enhancements have been suggested in order to improve OLAP performance, part of them has gone to the processing capabilities whereby parallel processing has occupied a sizeable space. A heterogeneous computing is a relatively recent approach that is being under examination. In this paper, through experimental results and based on Rabin-Karp Algorithm; we propose an optimized heterogeneous solution that takes into account the benefits and the boundaries in order to achieve a better OLAP performance in terms of response time with three times gain. In the light of our results; we present the achieved gain and possible future trends. Keywords— OLAP, heterogeneous computing, Rabin-Karp, data mining, pattern recognition. 2013-11-26 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/33185/1/Optimizing_OLAP_Heterogeneous_Computing_Based.pdf Alzeini, Haytham I M and Hameed, Shihab A. and Habaebi, Mohamed Hadi (2013) Optimizing OLAP heterogeneous computing based on Rabin-Karp algorithm. In: IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), 26-27 Nov 2013, Kuala Lumpur Malaysia. http://ims.ieeemalaysia.org/icsima/13/ |
| spellingShingle | TK5101 Telecommunication. Including telegraphy, radio, radar, television Alzeini, Haytham I M Hameed, Shihab A. Habaebi, Mohamed Hadi Optimizing OLAP heterogeneous computing based on Rabin-Karp algorithm |
| title | Optimizing OLAP heterogeneous computing based on Rabin-Karp algorithm |
| title_full | Optimizing OLAP heterogeneous computing based on Rabin-Karp algorithm |
| title_fullStr | Optimizing OLAP heterogeneous computing based on Rabin-Karp algorithm |
| title_full_unstemmed | Optimizing OLAP heterogeneous computing based on Rabin-Karp algorithm |
| title_short | Optimizing OLAP heterogeneous computing based on Rabin-Karp algorithm |
| title_sort | optimizing olap heterogeneous computing based on rabin-karp algorithm |
| topic | TK5101 Telecommunication. Including telegraphy, radio, radar, television |
| url | http://irep.iium.edu.my/33185/ http://irep.iium.edu.my/33185/ http://irep.iium.edu.my/33185/1/Optimizing_OLAP_Heterogeneous_Computing_Based.pdf |