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Can I read On performance stability in LSM-based storage systems on EtoBox?
On performance stability in LSM-based storage systems by Chen Luo; Michael J. Carey is a Computer Science article available to read on EtoBox.
What is On performance stability in LSM-based storage systems about?
The Log-Structured Merge-Tree (LSM-tree) has been widely adopted for use in modern NoSQL systems for its superior write performance. Despite the popularity of LSM-trees, they have been criticized for suffering from write stalls and large performance variances due to the inherent mismatch between their fast in-memory writes and slow background I/O operations. In this paper, we use a simple yet effective two-phase experimental approach to evaluate write stalls for various LSM-tree designs. We further identify and explore the design choices of LSM merge schedulers to minimize write stalls given an I/O bandwidth budget. We have conducted extensive experiments in the context of the Apache AsterixDB system and we present the results here.
Who reads On performance stability in LSM-based storage systems?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Chen Luo; Michael J. Carey
- Publisher
- ACM
- Published
- 2019
- Language
- EN
- Field
- Computer Science (Physical Sciences)