Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources
Name
3588195.3592997.pdf
Size
1.37 MB
Format
Adobe PDF
Checksum (MD5)
01cc118d59c149e6d2359c748a438224
Author(s)
Li, Baolin
Samsi, Siddharth
Gadepally, Vijay
Tiwari, Devesh
Date Issued
August 7, 2023
Publisher
ACM|Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing
Citation
Li, Baolin, Samsi, Siddharth, Gadepally, Vijay and Tiwari, Devesh. 2023. "Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources."
Version
Final published version
MIT Department
Lincoln Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3588195.3592997
