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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Title of host publication | Companion of the 2021 ACM/SPEC International Conference on Performance Engineering (ICPE ’21 Companion), April 19–23, 2021, France |
Number of pages | 2 |
DOIs | |
Publication status | Accepted/In press - 19 Apr 2021 |
MoE publication type | A4 Article in a conference publication |
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 | France |
City | Rennes |
Period | 19/04/2021 → 23/04/2021 |
Keywords
- Service contract
- ML Serving,
- SLO/SLA
- System monitoring