Ribbon: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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ACM|The International Conference for High Performance Computing, Networking, Storage and Analysis
2022
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| Online Access: | https://hdl.handle.net/1721.1/146333 |
| _version_ | 1826196373518680064 |
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| author | Li, Baolin Roy, Rohan Patel, Tirthak Gadepally, Vijay Gettings, Karen Tiwari, Devesh |
| author2 | Lincoln Laboratory |
| author_facet | Lincoln Laboratory Li, Baolin Roy, Rohan Patel, Tirthak Gadepally, Vijay Gettings, Karen Tiwari, Devesh |
| author_sort | Li, Baolin |
| collection | MIT |
| first_indexed | 2024-09-23T10:25:52Z |
| format | Article |
| id | mit-1721.1/146333 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:25:52Z |
| publishDate | 2022 |
| publisher | ACM|The International Conference for High Performance Computing, Networking, Storage and Analysis |
| record_format | dspace |
| spelling | mit-1721.1/1463332023-06-30T17:55:01Z Ribbon: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances Li, Baolin Roy, Rohan Patel, Tirthak Gadepally, Vijay Gettings, Karen Tiwari, Devesh Lincoln Laboratory 2022-11-10T18:21:08Z 2022-11-10T18:21:08Z 2021-11-14 2022-11-02T22:15:33Z Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-8442-1 https://hdl.handle.net/1721.1/146333 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." PUBLISHER_POLICY en https://doi.org/10.1145/3458817.3476168 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. ACM application/pdf ACM|The International Conference for High Performance Computing, Networking, Storage and Analysis ACM|The International Conference for High Performance Computing, Networking, Storage and Analysis |
| spellingShingle | Li, Baolin Roy, Rohan Patel, Tirthak Gadepally, Vijay Gettings, Karen Tiwari, Devesh Ribbon: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances |
| title | Ribbon: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances |
| title_full | Ribbon: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances |
| title_fullStr | Ribbon: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances |
| title_full_unstemmed | Ribbon: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances |
| title_short | Ribbon: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances |
| title_sort | ribbon cost effective and qos aware deep learning model inference using a diverse pool of cloud computing instances |
| url | https://hdl.handle.net/1721.1/146333 |
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