Ribbon: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances
Name
3458817.3476168.pdf
Size
1.5 MB
Format
Adobe PDF
Checksum (MD5)
b88f9a412ed02b5769b86bc620afab5e
Author(s)
Li, Baolin
Roy, Rohan
Patel, Tirthak
Gadepally, Vijay
Gettings, Karen
Tiwari, Devesh
Date Issued
November 14, 2021
Publisher
ACM|The International Conference for High Performance Computing, Networking, Storage and Analysis
Citation
Li, Baolin, Roy, Rohan, Patel, Tirthak, Gadepally, Vijay, Gettings, Karen et al. 2021. "Ribbon: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances."
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/10.1145/3458817.3476168
