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8.20.2 AIML service operations control and management procedure
Figure 8.20.1-1: AIML service operations control and management procedure 1. The VAL server sends AIML service operations control and management request to the AIML Enablement server as per the Table 8.20.3.1-1. 2-3. The AIMLE server determines the required service operation mode to manage the AIML service opera...
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8.20.3 Information flows
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8.20.3.1 AIML service operations control and management request
Table 8.20.3.1-1 shows the request sent by an AIML service consumer (e.g., VAL server) to an AIMLE server for the AIML service operations control and management request. Table 8.20.3.1-1: AIML service operations control and management request Information element Status Description Requestor identity M The identi...
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8.20.3.2 AIML service operations control and management response
Table 8.20.3.2-1 shows the request sent by an AIML Enablement server to an AIML service consumer (e.g., VAL server) for the AIML service operations control and management response. Table 8.20.3.2-1: AIML service lifecycle management response Information element Status Description VAL service identifier O An iden...
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8.20.3.3 AIML Enablement client service operation request
Table 8.20.3.3-1 shows the request sent by an AIML Enablement server to an AIML Enablement client for the AIML Enablement client service operation request. Table 8.20.3.3-1: AIML Enablement client service operation request Information element Status Description Requestor identity M The identifier of the requesto...
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8.20.3.4 AIML Enablement client service operation response
Table 8.20.3.4-1 shows the request sent by an AIML Enablement client to an AIML Enablement server for the AIML Enablement client service operation response or update response. Table 8.20.3.4-1: AIML Enablement client service operation response Information element Status Description VAL service identifier O An id...
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8.21 ML model update
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8.21.1 General
This clause provides the procedures to support ML model re-training and update when model performance degradation is observed by the AIML enablement layer. The model update procedure also supports using an existing model to re-train the model using Transfer Learning. Additionally, if the degraded model is related to ot...
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8.21.2 Procedure
Figure 8.21.2-1 depicts the procedure where the AIML enablement capability can trigger model update upon detecting model performance degradation. Pre-conditions: 1. The AIMLE Server has provided a ML model to the AIMLE Consumer. The AIMLE consumer can be a VAL server, AIMLE client, or ADAE server. 2. The AIMLE Consu...
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8.21.3 Information flows
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8.21.3.1 ML model update request
Table 8.21.3.1-1 details the ML model update request IEs. Table 8.21.3.1-1: ML model update request Information element Status Description Requestor Identity M The identity of the AIMLE Consumer sending the request. ML model ID M Provides the ID of ML model for which the performance degradation has been dete...
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8.21.3.1 ML model update response
Table 8.21.3.2-1 details the ML model update response IEs. Table 8.21.3.2-1: ML model update response Information element Status Description Successful response O (NOTE 1) Indicates that the model has been updated. > ML model O (NOTE 2) Provides the updated ML model. > ML model retrieval endpoint O (NOTE...
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8.22 ML model performance monitoring
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8.22.1 General
The following clauses specify procedures, information flows, and APIs for ML model performance monitoring and potential degradation detection.
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8.22.2 Procedure
Pre-conditions: 1. One or more AIMLE services (at the AIMLE server or clients) using the given ML model are ongoing. Figure 8.22.2-1: ML model performance monitoring 1. The VAL server sends an ML model performance monitoring subscription request to AIMLE server, requesting to assist in monitoring the ML model perf...
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8.22.3 Information flows
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8.22.3.1 ML model performance monitoring subscription request
Table 8.22.3.1-1 shows the request sent by a VAL server to an AIMLE server for the ML model performance monitoring. Table 8.22.3.1-1: ML model performance monitoring subscription request Information element Status Description Requestor identity M The identifier of the requestor (e.g., VAL server). ML model iden...
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8.22.3.2 ML model performance monitoring subscription response
Table 8.22.3.2-1 shows the response sent by the AIMLE server to the VAL server for the ML model performance monitoring subscription. Table 8.22.3.2-1: ML model performance monitoring subscription response Information element Status Description Successful response O (NOTE) Indicates that the ML model performance...
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8.22.3.3 ML model performance monitoring notify
Table 8.22.3.2-1 shows the notification sent by the AIMLE server to the VAL server for the ML model performance degradation. Table 8.22.3.2-1: ML model performance monitoring notify Information element Status Description Subscription ID M Subscription identifier corresponding to the subscription. ML model ID M...
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8.23 AIMLE assisted ML model selection
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8.23.1 General
ML model selection is an important consideration for successful ML training and deployment. Many ML models exist for ML applications and some models can generate better results than other models for a particular dataset. The procedure allows AIMLE service consumers to request assistance from an AIMLE server with the se...
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8.23.2 Procedure
Pre-conditions: 1. The AIMLE service consumer has identified datasets and ML requirements. Figure 8.23.2-1: AIMLE assisted ML model selection 1. An AIMLE service consumer (e.g. VAL server) sends a subscription request to an AIMLE server. The request includes information as described in Table 8.23.3.1-1. The AIMLE ...
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8.23.3 Information flows
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8.23.3.1 AIMLE assisted ML model selection subscription request
Table 8.23.3.1-1 shows the request sent by an AIMLE service consumer to an AIMLE server for the AIMLE assisted ML model selection subscription procedure. Table 8.23.3.1-1: ML model selection subscription request Information element Status Description Requestor identifier M The identifier of the requestor. AIML ...
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8.23.3.2 ML model selection subscription response
Table 8.23.3.2-1 shows the response sent by the AIMLE server to the AIMLE service consumer for the AIMLE assisted ML model selection subscription procedure. Table 8.23.3.2-1: ML model selection subscription response Information element Status Description Status M The status for the ML model selection operation ...
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8.23.3.3 ML model selection notification
Table 8.23.3.3-1 shows the notification sent by the AIMLE server to the AIMLE service consumer for the AIMLE assisted ML model selection subscription procedure. Table 8.23.3.3-1: ML model selection notification Information element Status Description Subscription identifier M The identifier for the subscription t...
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8.24 AIMLE context transfer
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8.24.1 General
This clause describes AIMLE context transfer procedure between AIMLE servers (over AIML-E reference point).
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8.24.2 Procedure
Pre-conditions: 1. Each edge AIMLE server manages the AIMLE clients within its service area to perform AI/ML operations. 2. A UE associated with an AIMLE client moves from a source service area (managed by a source edge AIMLE server) to a target service area (managed by a target edge AIMLE server). The transition tri...
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8.24.3 Information flows
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8.24.3.1 AIMLE context transfer request
Table 8.24.3.1-1 shows the AIMLE context transfer request that is sent by a source AIMLE server to a target AIMLE server. Table 8.24.3.1-1: AIMLE context transfer request Information element Status Description Requestor identifier M The identifier of the requestor (e.g., AIMLE server). AIMLE Context Information...
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8.24.3.2 AIMLE context transfer response
Table 8.24.3.2-1 shows the AIMLE context transfer response that is sent by the target edge AIMLE server to the source edge AIMLE server. Table 8.24.3.2-1: AIMLE context transfer response Information element Status Description Successful response O (NOTE) Indicates that the request was successful. Failure respo...
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8.25 Support of AIML Services for Assisting Hierarchical Computing
This clause describes procedure for supporting AIML services for assisting hierarchical computing.
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8.25.1 General
This clause describes the procedure for assisting hierarchical computing by the AIMLE server. A entity (e.g. CAS or EAS which are defined in 3GPP TS 23.558 [12]) can have different roles in hiearchitical computing (with one root node (e.g., CAS, EAS), the root has one or more children which are also known as sub-root n...
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8.25.2 Procedure for assisting hierarchical computing process
Figure 8.25.2-1 illustrates the procedures for AIMLE server to assist a hierarchical computing process. Pre-conditions: 1. An AI/ML task be treated as a specical computing task being completed at consumer (e.g., CAS, EAS). 2.- The consumer decides its role in the hierarchical computing architecture for an AI/ML task...
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8.25.3 Information flows
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8.25.3.1 Hiearchitical computing assistance request
Table 8.25.3.1-1 shows the request sent by VAL server (e.g. CAS, EAS) to the AIMLE server for assistance of a hiearchitical computing process (AI/ML task). Table 8.25.3.1-1: Hiearchitical computing assistance request Information element Status Description Requestor identifier M The identifier of the requestor. ...
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8.25.3.2 Assist hierarchical computing response
Table 8.25.3.2-1 shows the response sent by AIMLE server to the VAL server (e.g. CAS, EAS) for assisting the hierarchical computing process. Table 8.25.3.2-1: Hierarchical computing assistance response Information element Status Description Success response O (NOTE 1) Indicates that the assist hierarchical comp...
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8.26 ML model evaluation information management
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8.26.1 General
This clause provides the procedures to support ML model evaluation information management, including procedures for storing, retrieving and removing ML model evaluation information from the ML model repository. These procedures allow the owner of ML model(s) to store and manage the evaluation information associated wit...
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8.26.2 Procedure
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8.26.2.1 General
Following procedures are supported for ML model evaluation information management: - ML model evaluation information storage request-response procedure: - ML model evaluation information retrieval request-response procedure; - ML model evaluation information removal request-response procedure procedure.
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8.26.2.2 ML model evaluation information storage
Figure 8.26.2.2-1 describes procedures for storing ML model evaluation information in the ML model repository. Figure 8.26.2.2-1: ML model evaluation information storage 1. The requestor (e.g., AIMLE client or VAL server) sends an ML model evaluation information storage request to the AIMLE server. The request incl...
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8.26.2.3 ML model evaluation information retrieval
Figure 8.26.2.3-1 describes procedures for retrieving ML model evaluation information from the ML model repository. Figure 8.26.2.3-1: ML model evaluation information retrieval 1. The requestor (e.g., AIMLE client or VAL server) sends an ML model evaluation information retrieval request to the AIMLE server. The re...
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8.26.2.4 ML model evaluation information removal
Figure 8.26.2.4-1 describes procedures for removal of ML model evaluation information removal from the ML model repository. Figure 8.26.2.4-1. ML model evaluation information removal 1. The requestor (e.g., AIMLE client or VAL server) sends an ML model evaluation information removal request to the AIMLE server. Th...
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8.26.3 Information flows
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8.26.3.1 ML model evaluation information storage request
Table 8.26.3.1-1 describes the request from the AIMLE client or VAL server to the AIMLE server or from the AIMLE server to ML model repository for storing ML model evaluation information in the ML repository. Table 8.26.3.1-1: ML Model Evaluation Information Storage Request Information element Status Description R...
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8.26.3.2 ML model evaluation information storage response
Table 8.26.3.2-1 describes the response sent by the AIMLE server or sent by the ML model repository in response to processing ML model evaluation information storage request. Table 8.26.3.2-1: ML Model Evaluation Information Storage Response Information element Status Description Successful response O (NOTE) In...
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8.26.3.3 ML model evaluation information retrieval request
Table 8.26.3.3-1 describes the request from the AIMLE client or VAL server to the AIMLE server or from the AIMLE server to ML model repository for retrieving ML model evaluation information from the ML repository. Table 8.26.3.3-1: ML Model Evaluation Information Retrieval Request Information element Status Descrip...
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8.26.3.4 ML model evaluation information retrieval response
Table 8.26.3.4-1 describes the response sent by the AIMLE server or sent by the ML model repository in response to processing ML model evaluation information retrieval request. Table 8.26.3.4-1: ML Model Evaluation Information Retrieval Response Information element Status Description Successful response O (NOTE)...
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8.26.3.5 ML model evaluation information removal request
Table 8.26.3.5-1 describes the request from the AIMLE client or VAL server to the AIMLE server or from the AIMLE server to ML model repository for removing ML model evaluation information from the ML repository. Table 8.26.3.5-1: ML Model Evaluation Information Removal Request Information element Status Description...
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8.26.3.6 ML model evaluation information removal response
Table 8.26.3.6-1 describes the response sent by the AIMLE server or sent by the ML model repository in response to processing ML model evaluation information removal request. Table 8.26.3.6-1: ML Model Evaluation Information Removal Response Information element Status Description Successful response O (NOTE) In...
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8.27 AIMLE server registration in hierarchical AIMLE deployments
This clause describes procedures for supporting AIMLE server registration in hierarchical AIMLE deployments.
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8.27.1 General
This clause describes AIMLE server registration procedures considering AIMLE deployments in edge data networks as described in Annex A.4, Figure A.4-1. The registration of an edge AIMLE server with a central AIMLE server enables the central AIMLE server to be aware of the edge AIMLE server capabilities and of the clien...
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8.27.2 Procedures for supporting hierarchical AIMLE deployments
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8.27.2.1 AIMLE server registration
Figure 8.27.2.1-1 illustrates a procedure for an AIMLE server to register with another AIMLE server in hierarchical AIMLE deployments. In such a scenario, the registering AIMLE server, which is deployed as an EAS located at an EDN, registers to a central AIMLE server. Pre-conditions: 1. AIMLE clients have registe...
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8.27.2.2 AIMLE server registration update
Figure 8.27.2.2-1 illustrates a procedure for an AIMLE server to update its registration to a central AIMLE server in hierarchical AIMLE deployments. Pre-conditions: 1. The edge deployed AIMLE server has registered with the central AIMLE Server as described in clause 8.27.2.1. Figure 8.27.2.2-1: AIMLE server r...
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8.27.2.3 AIMLE server de-registration
Figure 8.27.2.3-1 illustrates a procedure for an AIMLE server to delete its registration from a central AIMLE server in hierarchical AIMLE deployments. Pre-conditions: 1. The edge deployed AIMLE server has registered with the central AIMLE Server as described in clause 8.27.2.1. Figure 8.27.2.3-1: AIMLE server...
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8.27.3 Information flows
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8.27.3.1 AIMLE server registration request
Table 8.27.3.1-1 shows the request sent by an edge deployed AIMLE server (i.e., an AIMLE server deployed as EAS located at an EDN) to a central AIMLE server for registering the edge deployed AIMLE server and available AIMLE clients in the EDN service area. Table 8.27.3.1-1: AIMLE server registration request Informati...
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8.27.3.2 AIMLE server registration response
Table 8.27.3.2-1 shows the response sent by the central AIMLE server to the edge deployed AIMLE server in response to the registration request. Table 8.27.3.2-1: AIMLE server registration response Information element Status Description Successful response O (NOTE) Indicates that the registration was successful....
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8.27.3.3 AIMLE server registration update request
Table 8.27.3.3-1 shows the request sent by an edge deployed AIMLE server to a central AIMLE server for the AIMLE server registration update request. Table 8.27.3.3-1: AIMLE server registration update request Information element Status Description Requestor identifier M The identifier of the registering AIMLE ser...
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8.27.3.4 AIMLE server registration update response
Table 8.27.3.4-1 shows the AIMLE server registration update response sent by the central AIMLE server to the edge deployed AIMLE server. Table 8.27.3.4-1: AIMLE server registration update response Information element Status Description Successful response O (NOTE) Indicates that the registration update was succ...
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8.27.3.5 AIMLE server de-registration request
Table 8.27.3.5-1 shows the request sent by an edge deployed AIMLE server to a central AIMLE server for the AIMLE server registration update request. Table 8.27.3.5-1: AIMLE server de-registration request Information element Status Description Registration identifier M The identifier of the existing registration....
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8.27.3.6 AIMLE server de-registration response
Table 8.27.3.6-1 shows the AIMLE server registration update response sent by the central AIMLE server to the edge deployed AIMLE server. Table 8.27.3.6-1: AIMLE server de-registration response Information element Status Description Successful response O (NOTE) Indicates that the de-registration was successful. ...
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8.28 ML model training in hierarchical AIMLE deployments
This clause describes a procedure for supporting ML model training in hierarchical AIMLE deployments.
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8.28.1 General
This clause describes ML model training considering AIMLE deployments in edge data networks as described in Annex A.4, Figure A.4-1. ML model training procedure is described in clause 8.3. In hierarchical AIMLE deployment scenarios, a VAL server requests the central AIMLE server for ML model training. Since the member...
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8.28.2 Procedure for Hierarchical ML model training
Figure 8.28.2-1 illustrates a procedure for central and edge AIMLE servers to support ML model training in hierarchical AIMLE deployments based on a request from a VAL server. Pre-conditions: 3. AIMLE clients have registered with the corresponding edge deployed AIMLE servers as described in clause 8.7.2.2. The ed...
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8.28.3 Information flows
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8.28.3.1 Hierarchical ML model training subscription request
Table 8.28.3.1-1 shows the information flow from the central AIMLE server to the edge AIMLE server for subscribing to ML model training in the EDN service area. Table 8.28.3.1-1: Hierarchical ML model training subscription request Information element Status Description Original requestor identity M Identity of t...
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8.28.3.2 Hierarchical ML model training subscription response
Table 8.28.3.2-1 shows the information flow of Hierarchical ML model training subscription response from the edge AIMLE server to the central AIMLE server. Table 8.28.3.2-1: Hierarchical ML model training subscription response Information element Status Description Success response O (NOTE 1) Indicates that the...
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8.28.3.3 Hierarchical ML model training notification
Table 8.28.3.3-1 shows the information flow of Hierarchical ML model training notification from the edge AIMLE server to the central AIMLE server. Table 8.28.3.3-1: Hierarchical ML model training notification Information element Status Description Edge training identifier M Identifier to associate with the origi...
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8.29 Intermediate Node discovery in ML model split learning operations
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8.29.1 General
The following clauses specify procedures, information flows, and APIs for Intermediate Node discovery in ML model split learning operations. Such intermediate entity can be an application layer relay UE which either doesn’t provide any processing and is not aware of the data to relay (encrypted), or 2) intermediate no...
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8.29.2 Procedure
Pre-conditions: 1. A split AIML pipeline is created, and the UE and VAL server has an ongoing connection session for undertaking jointly the split learning operation. 2. One or more VAL UEs or edge nodes (e.g. EAS) have registered their capabilities in the ML repository / AIMLE server. Figure 8.29.2-1: S...
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8.29.3 Information flows
Editor’s Note: Information flows will be provided later.
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9 AIMLE APIs
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9.1 General
The following AIMLE capabilities are offered as APIs: - AIMLE server APIs; - ML repository APIs; - AIMLE client APIs;
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9.2 AIMLE server APIs
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9.2.1 AIMLE AI/ML Task Transfer API
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9.2.1.1 General
Table 9.2.1.1-1 illustrates the APIs for AI/ML task transfer. This API enables the communication between VAL UE (via AIMLE Client) and the AIMLE server for AI/ML Task Transfer. Table 9.2.1.1-1: Aimles_AIMLTaskTransferAssist API API Name API Operations Operation Semantics Consumer(s) Aimles_AIMLTaskTransferAssist...
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9.2.1.2 Aimles_AIMLTaskTransferAssist_Request operation
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9.2.1.2.1 General
API description: This API enables source AI/ML member (AIMLE Client) to communicate with the AIMLE server for request assist AIML task transfer from the source AI/ML member (AIMLE Client) to target AI/ML member (AIMLE Client).
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9.2.1.2.2 AIML task transfer assist request operation
API operation name: Aimles_AIMLTaskTransferAssist_Request Description: The consumer requests for assist AI/ML task transfer. Inputs: See clause 8.6.3.2. Outputs: See clause 8.6.3.3. See clause 8.6.2.1 for details of usage of this operation.
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9.2.1.3 Aimles_AIMLESControlledAIMLTaskTransfer_Request operation
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9.2.1.3.1 General
API description: This API enables the source AI/ML member (AIMLE Client) to communicate with the AIMLE server for request AIMLE server-controlled AIML task transfer from the source AI/ML member (AIMLE Client) to the target AI/ML member (AIMLE Client).
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9.2.1.3.2 AIMLE server-controlled AIML task transfer request operation
API operation name: Aimles_AIMLESControlledAIMLTaskTransfer_Request Description: The consumer requests for AIMLE server-controlled AI/ML task transfer. Inputs: See clause 8.6.3.8. Outputs: See clause 8.6.3.9.
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9.2.2 ML model retrieval API
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9.2.2.1 General
Table 9.2.2.1-1 illustrates the API for ML model retrieval. Table 9.2.2.1-1: Aimles_MLModelRetrieval API API Name API Operations Operation Semantics Consumer(s) Aimles_MLModelRetrieval Request Request/Response AIMLE Client, VAL Server Subscribe Subscribe/Notify AIMLE Client, VAL Server Notify ...
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9.2.2.2 Aimles_MLModelRetrieval_Request operation
API operation name: Aimles_MLModelRetrieval_Request Description: The consumer requests for one time ML Model retrieval. Inputs: See clause 8.2.3.1. Outputs: See clause 8.2.3.2. See clause 8.2.2.2 for details of usage of this operation.
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9.2.2.3 Aimles_MLModelRetrieval_Subscribe operation
API operation name: Aimles_MLModelRetrieval_Subscribe Description: The consumer subscribe for ML Model retrieval. Inputs: See clause 8.2.3.3. Outputs: See clause 8.2.3.4. See clause 8.2.2.3.2 for details of usage of this operation.
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9.2.2.4 Aimles_MLModelRetrieval_Notify operation
API operation name: Aimles_MLModelRetrieval_Notify Description: The consumer is notified with ML Model. Inputs: See clause 8.2.3.5. Outputs: None. See clause 8.2.2.3.3 for details of usage of this operation.
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9.2.2.5 Aimles_MLModelRetrieval_UpdateSubscription operation
API operation name: Aimles_MLModelRetrieval_UpdateSubscription Description: The consumer updates an existing subscription for ML Model retrieval. Inputs: See clause 8.2.3.6. Outputs: See clause 8.2.3.7. See clause 8.2.2.3.4 for details of usage of this operation.
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9.2.2.6 Aimles_MLModelRetrieval_Unsubscribe operation
API operation name: Aimles_MLModelRetrieval_Unsubscribe Description: The consumer cancels an existing subscription for ML Model retrieval. Inputs: See clause 8.2.3.8. Outputs: See clause 8.2.3.9. See clause 8.2.2.3.5 for details of usage of this operation.
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9.2.3 ML model training API
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9.2.3.1 General
Table 9.2.3.1-1 illustrates the API for ML model training. This API enables the VAL server to communicate with the AIMLE server for ML model training. Table 9.2.3.1-1: Aimles_MLModelTraining API API Name API Operations Operation Semantics Consumer(s) Aimles_MLModelTraining Request Request/Response VAL Server...
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9.2.3.2 Aimles_MLModelTraining_Request operation
API operation name: Aimles_MLModelTraining_Request Description: The consumer requests for ML Model training. Inputs: See clause 8.3.3.1. Outputs: See clause 8.3.3.2. See clause 8.3.2 for details of usage of this operation.
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9.2.4 AIMLE TL model selection assistance API
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9.2.4.1 General
Table 9.2.4.1-1 illustrates the API for TL model selection assistance. This API enables the VAL server to communicate with the AIMLE server for requesting assistance on TL model selection. Table 9.2.4.1-1: Aimles_TLModelSelectionAssistance API API Name API Operations Operation Semantics Consumer(s) Aimles_TLMode...
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9.2.4.2 Aimles_TLModelSelectionAssistance_Request operation
API operation name: Aimles_TLModelSelectionAssistance_Request Description: The consumer requests AIMLE server to assist in the TL model selection. Inputs: See clause 8.16.4.1. Outputs: See clause 8.16.4.2. See clause 8.16.2 for details of usage of this operation.