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  Swayam: Distributed Autoscaling to Meet SLAs of Machine Learning Inference Services with Resource Efficiency

Gujarati, A., Elnikety, S., He, Y., McKinley, K. S., & Brandenburg, B. (2017). Swayam: Distributed Autoscaling to Meet SLAs of Machine Learning Inference Services with Resource Efficiency. In Middleware'17 (pp. 109-120). New York, NY: ACM. doi:10.1145/3135974.3135993.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-78D8-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0000-78D9-5
Genre: Conference Paper
Latex : Swayam: {D}istributed Autoscaling to Meet {SLA}s of Machine Learning Inference Services with Resource Efficiency

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 Creators:
Gujarati, Arpan1, Author           
Elnikety, Sameh2, Author
He, Yuxiong2, Author
McKinley, Kathryn S.2, Author
Brandenburg, Björn1, Author           
Affiliations:
1Group B. Brandenburg, Max Planck Institute for Software Systems, Max Planck Society, ou_2105285              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20172017
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: GujaratiMiddleware2017
DOI: 10.1145/3135974.3135993
 Degree: -

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Title: 18th ACM/IFIP/USENIX Middleware Conference
Place of Event: Las Vegas, NV, USA
Start-/End Date: 2017-12-11 - 2017-12-15

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Title: Middleware'17
  Abbreviation : Middleware 2017
  Subtitle : Proceedings of the 2017 International Middleware Conference
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 109 - 120 Identifier: ISBN: 978-1-4503-4720-4