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Work item:
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Y.3531 (ex Y.MLaaS-reqts)
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Subject/title:
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Cloud computing - Functional requirements for machine learning as a service
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Status:
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Approved on 2020-09-29
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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-
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Liaison:
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ITU-T SG16, SG17, SG20, JTC 1 SC 42, ETSI, IEEE
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Supporting members:
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-
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Summary:
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This Recommendation provides cloud computing requirements for machine learning as a service (MLaaS), which addresses requirements from use cases. Machine learning as a service is a cloud service category in which the capability provided to the cloud service customer is the provision and use of machine learning framework. Machine learning framework is a set of functionalities for provisioning machine learning data as well as training, deploying, and managing machine learning model.
On the perspective of cloud computing service provisioning, this Recommendation provides the functional requirements for MLaaS to identify functionalities such as machine learning data pre-processing, machine learning model training, machine learning model testing, and etc. Also, this Recommendation aligned with the cloud computing reference architecture of [ITU-T Y.3502].
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2018-01-03 13:06:04
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Last update:
2020-10-01 15:22:59
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