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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Poster › Scientific › vertaisarvioitu

88 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Sivut	169-170
Sivumäärä	2
DOI - pysyväislinkit	https://doi.org/10.1145/3447545.3451172
Tila	Julkaistu - 19 huhtik. 2021
OKM-julkaisutyyppi	Ei oikeutettu
Tapahtuma	ACM/SPEC International Conference on Performance Engineering - Virtual, Online, Rennes, Ranska Kesto: 19 huhtik. 2021 → 23 huhtik. 2021

Conference

Conference	ACM/SPEC International Conference on Performance Engineering
Lyhennettä	ICPE
Maa/Alue	Ranska
Kaupunki	Rennes
Ajanjakso	19/04/2021 → 23/04/2021

Pääsy asiakirjaan

10.1145/3447545.3451172

mainFinal published version, 398 KB

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

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.",

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author = "Tri Nguyen and Linh Truong",

year = "2021",

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doi = "10.1145/3447545.3451172",

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T1 - Demonstration Paper: Monitoring Machine Learning Contracts with QoA4ML

AU - Nguyen, Tri

AU - Truong, Linh

PY - 2021/4/19

Y1 - 2021/4/19

N2 - 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.

AB - 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.

KW - Service contract

KW - ML Serving,

KW - SLO/SLA

KW - System monitoring

UR - http://www.scopus.com/inward/record.url?scp=85104998757&partnerID=8YFLogxK

U2 - 10.1145/3447545.3451172

DO - 10.1145/3447545.3451172

M3 - Poster

SP - 169

EP - 170

T2 - ACM/SPEC International Conference on Performance Engineering

Y2 - 19 April 2021 through 23 April 2021

ER -

Demonstration Paper: Monitoring Machine Learning Contracts with QoA4ML

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