<  Back to the Polytechnique Montréal portal

LOGI: an empirical model of heat-induced disk drive data loss and its implications for data recovery

Hammad Ahmad, Colton Holoday, Ian Bertram, Kevin Angstadt, Zohreh Sharafi and Westley Weimer

Paper (2022)

An external link is available for this item
Department: Department of Computer Engineering and Software Engineering
PolyPublie URL: https://publications.polymtl.ca/56836/
Conference Title: 18th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2022)
Conference Location: Singapore
Conference Date(s): 2022-11-17
Publisher: ACM
DOI: 10.1145/3558489.3559071
Official URL: https://doi.org/10.1145/3558489.3559071
Date Deposited: 20 Dec 2023 11:33
Last Modified: 05 Apr 2024 12:04
Cite in APA 7: Ahmad, H., Holoday, C., Bertram, I., Angstadt, K., Sharafi, Z., & Weimer, W. (2022, November). LOGI: an empirical model of heat-induced disk drive data loss and its implications for data recovery [Paper]. 18th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2022), Singapore. https://doi.org/10.1145/3558489.3559071

Statistics

Dimensions

Repository Staff Only

View Item View Item