Demonstration Paper: Monitoring Machine Learning Contracts with QoA4ML

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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
Title of host publicationCompanion of the 2021 ACM/SPEC International Conference on Performance Engineering (ICPE ’21 Companion), April 19–23, 2021, France
Number of pages2
DOIs
Publication statusAccepted/In press - 19 Apr 2021
MoE publication typeA4 Article in a conference publication
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
CountryFrance
CityRennes
Period19/04/202123/04/2021

Keywords

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

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