Scalable computing for large-scale multimedia data analytics
| dc.contributor.author | Karuppiah, Marimuthu | |
| dc.contributor.author | Chaudhry, Shehzad Ashraf | |
| dc.contributor.author | Alsharif, Mohammed H. | |
| dc.date.accessioned | 2024-09-12T06:52:22Z | |
| dc.date.available | 2024-09-12T06:52:22Z | |
| dc.date.issued | 2024-06 | |
| dc.description.abstract | Parallel architectures that leverage high-performance computer systems, cloud computing, and storage infrastructure can accomplish scalable massive data processing, which is a core aspect of large-scale multimedia data analytics. Rapid growth and advancement in the scalable computing industry have led to the need for a technical forum to discuss emerging challenges and developments. Keywords: Scalable computing, Cloud computing, Multimedia data analytics, Developments | |
| dc.identifier.citation | Karuppiah, M., Chaudhry, S. A., & Alsharif, M. H. (2024). Scalable computing for large-scale multimedia data analytics. Journal of Intelligent Information Systems, 1-3. | |
| dc.identifier.doi | https://doi.org/10.1007/s10844-024-00863-y | |
| dc.identifier.uri | https://repository.adu.ac.ae/handle/1/6408 | |
| dc.language.iso | en | |
| dc.publisher | Springer Link | |
| dc.title | Scalable computing for large-scale multimedia data analytics | |
| dc.type | Article |
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