Demonstration Paper: Monitoring Machine Learning Contracts with QoA4ML

Research output: Contribution to conferencePosterScientificpeer-review

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Abstract

Using machine learning (ML) services, both service customers and providers need to monitor complex contractual constraints of ML service that are strongly related to ML models and data. Therefore, establishing and monitoring comprehensive ML contracts are crucial in ML serving. This paper demonstrates a set of features and utilities of the QoA4ML framework for ML contracts.
Original languageEnglish
Pages169-170
Number of pages2
DOIs
Publication statusPublished - 19 Apr 2021
MoE publication typeNot Eligible
EventACM/SPEC International Conference on Performance Engineering - Virtual, Online, Rennes, France
Duration: 19 Apr 202123 Apr 2021

Conference

ConferenceACM/SPEC International Conference on Performance Engineering
Abbreviated titleICPE
Country/TerritoryFrance
CityRennes
Period19/04/202123/04/2021

Keywords

  • Service contract
  • ML Serving,
  • SLO/SLA
  • System monitoring

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