Towards a Multidimensional NOSQL DBMS Based on Dynamic and Scalable Data Distribution
| dc.contributor.author | MAABED, Mohammed | |
| dc.date.accessioned | 2025-05-29T11:08:48Z | |
| dc.date.available | 2025-05-29T11:08:48Z | |
| dc.date.issued | 2025 | |
| dc.description | THESIS Submitted for the diploma of DOCTORAT Field: Computer Science Speciality: Information System | en_US |
| dc.description.abstract | This work intro duces a new paradigm for Multi-Dimensional NoSQL, namely MDNOS, which targets efficient data management in IoT, Fog, and cloud platforms. It prop oses an overall scalable and fault-tolerant architecture that includes routing in IoT clients. The fog layer namely KV-MDSS, and a cloud layer, namely SD-PGSQL. Dynamic partitioning techniques are integrated into the system for load balance and query p erformance optimization; for single-key data, RP*-SD2DS is adopted, and ZK-RP* for multi-dimensional data. It gives an overview of the basics of SDDS and then go es further to show some realizations of thes e efficiently using MD-NOS. I t presents two sp ecialized architectures: RP*-SD2DS, optimized for one-dimensional data, and ZK-RP*, which extends it further for multi-dimensional data. Exp erimental results prove the supremacy in p erformance and scalability of the system when compared to traditional NoSQL databases like MongoDB with large files and complex queries. It gives reason to b elieve that MD-NOS can enable a revolution in the management of data. | en_US |
| dc.identifier.uri | http://dspace.univ-chlef.dz/handle/123456789/2104 | |
| dc.publisher | DENNOUNI Nassim / ARIDJ Mohamed | en_US |
| dc.title | Towards a Multidimensional NOSQL DBMS Based on Dynamic and Scalable Data Distribution | en_US |
| dc.type | Thesis | en_US |