Demonstration Paper: Monitoring Machine Learning Contracts with QoA4ML

Tri Nguyen; Linh Truong

doi:10.1145/3447545.3451172

Demonstration Paper: Monitoring Machine Learning Contracts with QoA4ML

Tri Nguyen, Linh Truong

Research output: Contribution to conference › Poster › Scientific › peer-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 language	English
Pages	169-170
Number of pages	2
DOIs	https://doi.org/10.1145/3447545.3451172
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
Abbreviated title	ICPE
Country/Territory	France
City	Rennes
Period	19/04/2021 → 23/04/2021

Keywords

Service contract
ML Serving,
SLO/SLA
System monitoring

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title = "Demonstration Paper: Monitoring Machine Learning Contracts with QoA4ML",

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AU - Truong, Linh

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KW - System monitoring

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Demonstration Paper: Monitoring Machine Learning Contracts with QoA4ML

Abstract

Conference

Keywords

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