Re: [Idnet] Summary 20170814 & IDN dedicated session call for case
Stenio Fernandes <sflf@cin.ufpe.br> Mon, 14 August 2017 18:09 UTC
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From: Stenio Fernandes <sflf@cin.ufpe.br>
Date: Mon, 14 Aug 2017 14:08:58 -0400
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To: Haoyu song <haoyu.song@huawei.com>
Cc: yanshen <yanshen@huawei.com>, "idnet@ietf.org" <idnet@ietf.org>
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Subject: Re: [Idnet] Summary 20170814 & IDN dedicated session call for case
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Haoyu, I'm working on the anomaly detection use case and will send it to the list this week. Stenio On Mon, Aug 14, 2017 at 12:47 PM, Haoyu song <haoyu.song@huawei.com> wrote: > Yansen, > > > > I see two key use cases are missing in the current list: root cause analysis > and anomaly detection. Those two are likely to use ML-based solutions and > the first one has already received a lot of research. > > > > Haoyu > > > > From: IDNET [mailto:idnet-bounces@ietf.org] On Behalf Of yanshen > Sent: Sunday, August 13, 2017 8:36 PM > To: idnet@ietf.org > Subject: [Idnet] Summary 20170814 & IDN dedicated session call for case > > > > Dear all, > > > > Here is a summary and some index (2017.08.14). Till now, whatever the case > is supported or not, I tried to organize all the content and keep the core > part. It is still welcome to contribute and discuss. > > > > If I miss something important, please let me know. Apologized in advance. > > > > Yansen > > > > > > --------- 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 --------- > > > > > > 1. Gap and Requirement Analysis > > 1.1 Network Management requirement > > 1.2 TBD > > 2. Use Cases > > 2.1 Traffic Prediction > > Proposed by: yanshen@huawei.com > > Track: > https://www.ietf.org/mail-archive/web/idnet/current/msg00131.html > > Abstract: 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. > > > > 2.2 QoS Management > > Proposed by: yanshen@huawei.com > > Track: > https://www.ietf.org/mail-archive/web/idnet/current/msg00131.html > > Abstract: Use multiple paths to distribute the traffic > flows. Adjust the percentages. Avoid congestion and ensure QoS. > > > > 2.3 Application (and/or DDoS) detection > > Proposed by: aydinulas@gmx.net > > Track: > https://www.ietf.org/mail-archive/web/idnet/current/msg00133.html > > Abstract: Detect the application (or attack) from network > packets (HTTPS or plain) Collect the history traffic data and identify a > service or attack (ex: Skype, Viber, DDoS attack etc.) > > > > 2.4 QoE Management > > Proposed by: albert.cabellos@gmail.com > > Track: > https://www.ietf.org/mail-archive/web/idnet/current/msg00137.html > > Abstract: Collect low-level metrics (SNR, latency, > jitter, losses, etc) and measure QoE. Then use ML to understand what is the > relation between satisfactory QoE and the low-level metrics. As an example > learn that when delay>N then QoE is degraded, but when M<delay<N then QoE is > satisfactory for the customers (please note that QoE cannot be measured > directly over your network). This is useful to understand how the network > must be operated to provide satisfactory QoE. > > > > 2.5 (Encrypted) Traffic Classification > > Proposed by: jerome.francois@inria.fr; mskim16@etri.re.kr > > Track: [Jerome] > https://www.ietf.org/mail-archive/web/idnet/current/msg00141.html ; [Min-Suk > Kim] https://www.ietf.org/mail-archive/web/idnet/current/msg00153.html > > Abstract: > > [Jerome] collect flow-level traffic metrics such > as protocol information but also meta metrics such as distribution of packet > sizes, inter-arrival times... Then use such information to label the traffic > with the underlying application assuming that the granularity of > classification may vary (type of application, exact application name, > version...) > > [Min-Suk Kim] continuously collect packet data, > then applying learning process for traffic classification with generating > application using deep learning models such as CNN (convolutional neural > network) and RNN (recurrent neural network). Data-set to apply into the > models are generated by processing with features of information from flow in > packet data. > > > > 2.6 TBD > > > > 3. Data Focus > > 3.1 Data attribute > > 3.2 Data format > > 3.3 TBD > > > > 4. Support Technologies > > 4.1 Benchmarking Framework > > Proposed by: pedro@nict.go.jp > > Track: > https://www.ietf.org/mail-archive/web/idnet/current/msg00146.html > > Abstract: A proper benchmarking framework comprises a set > of reference procedures, methods, and models that can (or better *must*) be > followed to assess the quality of an AI mechanism proposed to be applied to > the network management/control area. Moreover, and much more specific to the > IDNET topics, is the inclusion, dependency, or just the general relation of > a standard format enforced to the data that is used (input) and produced > (output) by the framework, so a kind of "data market" can arise without > requiring to transform the data. The initial scope of input/output data > would be the datasets, but also the new knowledge items that are stated as a > result of applying the benchmarking procedures defined by the framework, > which can be collected together to build a database of benchmark results, or > just contrasted with other existing entries in the database to know the > position of the solution just evaluated. This increases the usefulness of > IDNET. > > > > 4.2 TBD > > > _______________________________________________ > IDNET mailing list > IDNET@ietf.org > https://www.ietf.org/mailman/listinfo/idnet > -- Prof. Stenio Fernandes CIn/UFPE http://www.steniofernandes.com
- [Idnet] Summary 20170814 & IDN dedicated session … yanshen
- Re: [Idnet] Summary 20170814 & IDN dedicated sess… Haoyu song
- Re: [Idnet] Summary 20170814 & IDN dedicated sess… Oscar Mauricio Caicedo Rendon
- Re: [Idnet] Summary 20170814 & IDN dedicated sess… Oscar Mauricio Caicedo Rendon
- Re: [Idnet] Summary 20170814 & IDN dedicated sess… Stenio Fernandes
- Re: [Idnet] Summary 20170814 & IDN dedicated sess… yanshen
- Re: [Idnet] Summary 20170814 & IDN dedicated sess… yanshen
- Re: [Idnet] Summary 20170814 & IDN dedicated sess… Hesham ElBakoury
- Re: [Idnet] Summary 20170814 & IDN dedicated sess… Haoyu song
- Re: [Idnet] Summary 20170814 & IDN dedicated sess… Hesham ElBakoury
- Re: [Idnet] Summary 20170814 & IDN dedicated sess… yanshen
- Re: [Idnet] Summary 20170814 & IDN dedicated sess… Hesham ElBakoury
- Re: [Idnet] Summary 20170814 & IDN dedicated sess… yanshen
- Re: [Idnet] Summary 20170814 & IDN dedicated sess… Albert Cabellos
- Re: [Idnet] Summary 20170814 & IDN dedicated sess… Stenio Fernandes