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update catalogue and architecture image

Signed-off-by: Kanakami <979466793@qq.com>
tags/v0.6.0
Kanakami 3 years ago
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ce2bf33515
2 changed files with 10 additions and 5 deletions
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      docs/proposals/images/observability-management-architecture.png
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      docs/proposals/observability-management.md

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docs/proposals/observability-management.md View File

@@ -4,6 +4,11 @@
* [Proposal](#proposal) * [Proposal](#proposal)
* [Design Details](#design-details) * [Design Details](#design-details)
* [Monitoring Metrics](#monitoring-metrics) * [Monitoring Metrics](#monitoring-metrics)
* [Common System Metrics](#common-system-metrics)
* [Algorithm Metrics (Designed Individually For Each Task)](#algorithm-metrics-designed-individually-for-each-task)
* [Joint Inference](#joint-inference)
* [Incremental Learning](#incremental-learning)
* [Federated Learning](#federated-learning)
* [Collecting Logs](#collecting-logs) * [Collecting Logs](#collecting-logs)
* [Display](#display) * [Display](#display)
* [Key Deliverable](#key-deliverable) * [Key Deliverable](#key-deliverable)
@@ -76,14 +81,14 @@ For edge-cloud synergy AI tasks, we create customized exporters to collect the m
| IterationNo | The current iteration No. of incremental learning | | IterationNo | The current iteration No. of incremental learning |
| IterationInferenceCount | The count of inference at current iteration | | IterationInferenceCount | The count of inference at current iteration |
| IterationHardSampleNum | The number of hard samples at current iteration | | IterationHardSampleNum | The number of hard samples at current iteration |
| EvalNewModelPath | The path of new model at eval stage |
| EvalNewModelUrl | The url of new model at eval stage |
| AccuracyMetricForNewModel | mAP / Precision / Recall / F1-score for new model | | AccuracyMetricForNewModel | mAP / Precision / Recall / F1-score for new model |
| AccuracyMetricForOldModel | mAP / Precision / Recall / F1-score for old model | | AccuracyMetricForOldModel | mAP / Precision / Recall / F1-score for old model |
| TrainOutputModelPath | The output path for model after training |
| DeployModelPath | The path for deploying model |
| TrainOutputModelUrl | The output url for model after training |
| DeployModelUrl | The url for deploying model |
| DeployStatus | Waiting / OK / Not OK | | DeployStatus | Waiting / OK / Not OK |
| TrainRemainingTime | The remaining time at train stage | | TrainRemainingTime | The remaining time at train stage |
| TrainLoss | loss at train stage |
| TrainLoss | Loss at train stage |
| EvalRemainingTime | The remaining time at eval stage | | EvalRemainingTime | The remaining time at eval stage |


##### Federated Learning ##### Federated Learning
@@ -110,7 +115,7 @@ For logs, querying can be performed to show all logs matched and the number of m
* Code and configuration files * Code and configuration files
* Code of edge-cloud synergy AI task exporters * Code of edge-cloud synergy AI task exporters
* Component configuration files for Prometheus, Loki and Grafana * Component configuration files for Prometheus, Loki and Grafana
* Exporter configuration files for node-exporter and kube-state-metrics
* Exporter configuration files for kube-state-metrics
* JSON configuration files for easy-to-use and good-looking panels on Grafana * JSON configuration files for easy-to-use and good-looking panels on Grafana
* End-to-end test cases * End-to-end test cases




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