Challenges & Opportunities in Automating DBMS: A Qualitative Study
Background. In recent years, the volume and complexity of data handled by Database Management Systems (DBMS) have surged, necessitating greater efforts and resources for efficient administration. In response, numerous automation tools for DBMS administration have emerged, particularly with the progression of AI and machine learning technologies. However, despite these advancements, the industry-wide adoption of such tools remains limited.
Authors
- Pierre Bourhis (ORCID: https://orcid.org/0000-0001-5699-0320)
- Romain Rouvoy (ORCID: https://orcid.org/0000-0003-1771-8791)
- Yifan Wang (ORCID: https://orcid.org/0009-0009-1032-3827)
- Patrick Royer
Institutions
- Centre National de la Recherche Scientifique (FR)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Orange (France) (FR)
- Université de Lille (FR)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1145/3691620.3695264
- Citations
- 1
- Primary Topic
- Cloud Computing and Resource Management
- Type
- article
- Field-Weighted Citation Impact
- 0.78