I/O Workload Management for All-Flash Datacenter Storage Systems Based on Total Cost of Ownership
- DOI
- 10.1109/tbdata.2018.2871114
- Published
- 2022-04-01
- Container
- IEEE Transactions on Big Data
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tbdata.2018.2871114,
title = {I/O Workload Management for All-Flash Datacenter Storage Systems Based on Total Cost of Ownership},
author = {Zhengyu Yang and Manu Awasthi and Mrinmoy Ghosh and Janki Bhimani and Ningfang Mi},
year = {2022},
journal = {IEEE Transactions on Big Data},
doi = {10.1109/tbdata.2018.2871114},
url = {https://doi.org/10.1109/tbdata.2018.2871114}
}RIS
TY - JOUR TI - I/O Workload Management for All-Flash Datacenter Storage Systems Based on Total Cost of Ownership AU - Zhengyu Yang AU - Manu Awasthi AU - Mrinmoy Ghosh AU - Janki Bhimani AU - Ningfang Mi PY - 2022 JO - IEEE Transactions on Big Data DO - 10.1109/tbdata.2018.2871114 UR - https://doi.org/10.1109/tbdata.2018.2871114 ER -
APA
Yang, Z., Awasthi, M., Ghosh, M., Bhimani, J., & Mi, N. (2022). I/O Workload Management for All-Flash Datacenter Storage Systems Based on Total Cost of Ownership. IEEE Transactions on Big Data. https://doi.org/10.1109/tbdata.2018.2871114
Source records
- crossref · retrieved 2026-11-10T10:35:28.627Z