Coverage-Based Caching in Cloud Data Lakes
Cloud data lakes are a modern approach to handling large volumes of data. They separate the compute and storage layers, making them highly scalable and cost-effective. However, query performance in cloud data lakes could be faster, and various efforts have been made to enhance it in recent years. We introduce our approach to this problem, which is based on a novel caching technique where instead of caching actual data, we cache metadata called a coverage set.
Authors
- Shlomi Dolev (ORCID: https://orcid.org/0000-0001-5418-6670)
- Grisha Weintraub (ORCID: https://orcid.org/0000-0003-4823-4757)
- Ehud Gudes (ORCID: https://orcid.org/0000-0003-0687-086X)
Institutions
- Ben-Gurion University of the Negev (IL)
Publication Details
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1145/3688351.3689165
- Citations
- 1
- Primary Topic
- Caching and Content Delivery
- Type
- article
- Field-Weighted Citation Impact
- 0.35