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 language | English |
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Pages | 169-170 |
Number of pages | 2 |
DOIs | |
Publication status | Published - 19 Apr 2021 |
MoE publication type | Not Eligible |
Event | ACM/SPEC International Conference on Performance Engineering - Virtual, Online, Rennes, France Duration: 19 Apr 2021 → 23 Apr 2021 |
Conference
Conference | ACM/SPEC International Conference on Performance Engineering |
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Abbreviated title | ICPE |
Country/Territory | France |
City | Rennes |
Period | 19/04/2021 → 23/04/2021 |
Keywords
- Service contract
- ML Serving,
- SLO/SLA
- System monitoring