Re: [Idnet] IDN dedicated session call for case

"Ciavaglia, Laurent (Nokia - FR/Nozay)" <> Wed, 02 August 2017 12:35 UTC

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From: "Ciavaglia, Laurent (Nokia - FR/Nozay)" <>
To: yanshen <>, "" <>
CC: "" <>, Lisandro Granville <>
Thread-Topic: IDN dedicated session call for case
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Date: Wed, 2 Aug 2017 12:35:50 +0000
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Subject: Re: [Idnet] IDN dedicated session call for case
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Hint: it would be nice to contact the NMRG chairs regarding the dedicated session you are mentioning.
Also, participants of the NMRG could/should be interested/aware and could eventually contribute to the effort.

Thanks, Laurent (as NMRG co-chair).

-----Original Message-----
From: IDNET [] On Behalf Of yanshen
Sent: Wednesday, August 02, 2017 12:12 PM
Subject: [Idnet] IDN dedicated session call for case

Dear all,

Since we plan to organize a dedicated session in NMRG, IETF100, for applying AI into network management (NM), I’d try to list some Use Cases and propose a roadmap and ToC before Nov. 

These might be rough. You are welcome to refine them and propose your focused use cases or ideas.

Use case 1: Traffic Prediction
	Description: Collect the history traffic data and external data which may influence the traffic. Predict the traffic in short/long/specific term. Avoid the congestion or risk in previously.
	Process: 1. Data collection (e.g. traffic sample of physical/logical port ); 2. Training Model; 3. Real-time data capture and input; 4. Predication output; 5. Fix error and go back to 3.
	Data Format: 	Time : [Start, End, Unit, Number of Value, Sampling Period] 
				Position: [Device ID, Port ID]
				Direction: IN / OUT
				Route : [R1, R2, ..., RN]  (might be useful for some scenarios)
				Service : [Service ID, Priority, ...]  (Not clear how to use it but seems useful)
				Traffic: [T0, T1, T2, ..., TN]
	Message : 	Request: ask for the data 
				Reply: Data
				Notice: For notification or others 
				Policy: Control policy
Use case 2: QoS Management
	Description: Use multiple paths to distribute the traffic flows. Adjust the percentages. Avoid congestion and ensure QoS. 
	Process: 1. Data capture (e.g. traffic sample of physical/logical port ); 2. Training Model; 3. Real-time data capture and input; 4. Output percentages; 5. Fix error and go back to 3.
	Data Format: 	Time : [Timestamp, Value type (Delay/Packet Loss/...), Unit, Number of Value, Sampling Period] 
				Position: [Link ID, Device ID]
				Value: [V0, V1, V2, ..., VN]
	Message : 	Request: ask for the data 
				Reply: Data
				Notice: For notification or others 
				Policy: Control policy

Use case N: Waiting for your Ideas

Also I suggest a roadmap before Nov if possible. 

### Roadmap ###
Aug. : Collecting the use cases (related with NM). Rough thoughts and requirements Sep. : Refining the cases and abstract the common elements Oct. : Deeply analysis. Especially on Data Format, control flow, or other key points
Nov.: F2F discussions on IETF100
### Roadmap End ###

A rough ToC is listed in following. We may take it as a scope before Nov. Hope that the content could become the draft of draft. 

###Table of Content###
1. Gap and Requirement Analysis
	1.1 Network Management requirement 
	1.2 TBD
2. Use Cases
	2.1 Traffic Prediction
	2.2 QoS Management
	3.3 TBD
3. Data Focus
	3.1 Data attribute
	3.2 Data format
	3.3 TBD
4. Aims
	4.1 Benchmarking Framework
	4.2 TBD
###ToC End###


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