[Idnet] 答复: Benefits of Introducing AI into Network

yanshen <yanshen@huawei.com> Wed, 10 May 2017 12:05 UTC

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From: yanshen <yanshen@huawei.com>
To: Ing-Jyh Tsang <ing-jyh.tsang@nokia-bell-labs.com>, "idnet@ietf.org" <idnet@ietf.org>
Thread-Topic: [Idnet] Benefits of Introducing AI into Network
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Date: Wed, 10 May 2017 12:04:50 +0000
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Dear Ing-Jyh Tsang and all,

There is some personal thought of these topics. Comments and suggestions are most welcome!

--Towards Fully Autonomic Network

        The advantage (or say aim) of a fully autonomic network is implementing the close-ring of “Sensing-Analysis-Decision”, which will minimize the input of manual labor in the pure operating actions (without analysis). In current, the process of sensing, analysis and decision are independent to each other and the cooperation of these is depend on manual work. The shortage is caused by the lack of analysis ability of network, which is exactly AI technology is good at.

--Ability of Handling Complex Issues

        The machine learning (ML) method is one of the best way to solve the complex problems, such as classifying problems and optimal decision problems. In network area, the problems that related to resource management and route decision are typically complex. The introducing of AI method essentially build up a centralized analysis system which may provide a global view solution for the network, which cannot (or difficult) be implemented with the current highly distributed architecture. A centralized architecture may not solve all problems but it is indeed a good supplement for nowadays network.

--More Adaptive and Flex

       The ML model can output different policies according to the input training data. Each domain of network may own different characters (e.g. different traffic character). It is possible to provide adaptive solution for different situation via uniform train model.

--Predictive

        Prediction is one of the most important attribute that AI technology brings. On one hand, the prediction (e.g. traffic prediction or failure prediction) that produced by AI algorithm can make the network manager preventing the risky failure and nip the problem in the bud. It will reduce the risk of network fault so that the cost of recovering from the failure. On the other hand, the prediction can be also used to evaluate the reliability of network policy. For example, to evaluate what is the probability of a VPN route is faced with congestion.

--Potential Self-Evolving Ability

        The ML method is self-evolving, which may provide same attribute to network. According to training the network decision model continuously, the network can match the change of service and traffic. Actually, the optimization is just the process that modifying the network parameters to match the requirement. The self-evolving feature of ML method may bring the same ability to the network.

--Potential Decision Efficiency

        The machine learning algorithm can solve the decision problems which has been verified in other area (e.g. AlphaGo). It will be valuable to train a decision model of network that input the current state and output corresponding policies (e.g. device configuration parameters). This model may configure the network device directly when necessary or provide probable configurations as choices when doubt. Both of them will save the time and cost and make the decision process toward efficient.

Yansen
Huawei Technologies Co., Ltd.
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Cellphone :+86-13488809882<tel:+86%20134%208880%209882>
Email :yanshen@huawei.com<mailto:yanshen@huawei.com>
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发件人: IDNET [mailto:idnet-bounces@ietf.org] 代表 Ing-Jyh Tsang
发送时间: 2017年5月10日 14:24
收件人: Sheng Jiang <jiangsheng@huawei.com>om>; idnet@ietf.org
主题: Re: [Idnet] Benefits of Introducing AI into Network

Is it possible to give a brief (or detail) description of each o the topic?
On 10/05/2017 04:53, Sheng Jiang wrote:
In ETSI NGP ISP, we have an Work Item for IDN (Intelligence-Defined Network). In one of the general sections, We briefly describes the benefits of introducing AI into network, as below.


-          Towards Fully Autonomic Network

-          Ability of Handling Complex Issues

-          More Adaptive and Flex

-          Predictive

-          Potential Self-Evolving Ability

-          Potential Decision Efficiency

If there are major benefits that we have not covered, we would like to include.

Regards,

Sheng




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