A Reproducible I/O Analyzer

Author:

Nascimento Rodrigo P. do,Vel Lejbman Alfredo Goldman

Abstract

This paper presents the Stealth Metrics Framework, an I/O characterization and data-driven I/O replay framework that users can utilize to gain detailed insights into how their applications issue I/O to storage systems. The study provides a clear snapshot of how a MongoDB instance manages recovery from a crash from a storage I/O perspective, and explores potential strategies to enhance recovery performance.

Publisher

Sociedade Brasileira de Computação

Reference6 articles.

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2. Gebai, M. and Dagenais, M. R. (2018). Survey and analysis of kernel and userspace tracers on linux: Design, implementation, and overhead. ACM Computing Surveys, 51(2):1–33.

3. Kerrisk, M. (2010). The Linux Programming Interface: A Linux and UNIX System Programming Handbook. No Starch Press.

4. MongoDB (2024). Production notes - mongodb manual. Accessed on: 11 April 2024.

5. Reisel, D., Gantz, J., and Rydning, J. (2020). The digitalization of the world from edge to core. White paper, International Data Corporation.

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