算网大脑智能化水平分级方法研究

王琛; 赵鹏; 唐国华; 王晓晗; 袁向阳

doi:10.11959/j.issn.1000-0801.2024153

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算网大脑智能化水平分级方法研究

工程与应用 | 更新时间：2024-09-23

- 算网大脑智能化水平分级方法研究
- Research on intelligent level of the brain of computility network
- 电信科学 2024年40卷第8期页码：149-161
- 作者机构：
  
  中国移动通信有限公司研究院，北京 100053
- 作者简介：
  
  [ "王琛（1995- ），男，中国移动通信有限公司研究院人工智能与智慧运营中心解决方案工程师，主要研究方向为算力网络运营管理、算网大脑标准化等。" ]
  [ "赵鹏（1987- ），男，中国移动通信有限公司研究院人工智能与智慧运营中心主任研究员，高级工程师，主要研究方向为人工智能、算力网络、5G等。" ]
  [ "唐国华（1990- ），男，中国移动通信有限公司研究院人工智能与智慧运营中心解决方案工程师，主要研究方向为算力网络、算网大脑等。" ]
  [ "王晓晗（1997- ），男，中国移动通信有限公司研究院人工智能与智慧运营中心解决方案工程师，主要研究方向为算力网络、人工智能等。" ]
  [ "袁向阳（1978- ），男，中国移动通信有限公司研究院人工智能与智慧运营中心副总经理，主要研究方向为BSS、OSS等IT支撑系统及AI技术在网络智能化中的应用。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2024153
  中图分类号： TN915
- 收稿日期：2024-02-06，
  
  修回日期：2024-05-20，
  
  纸质出版日期：2024-08-20
- 稿件说明：
移动端阅览
王琛,赵鹏,唐国华等.算网大脑智能化水平分级方法研究[J].电信科学,2024,40(08):149-161.

WANG Chen,ZHAO Peng,TANG Guohua,et al.Research on intelligent level of the brain of computility network[J].Telecommunications Science,2024,40(08):149-161.
王琛,赵鹏,唐国华等.算网大脑智能化水平分级方法研究[J].电信科学,2024,40(08):149-161. DOI： 10.11959/j.issn.1000-0801.2024153.

WANG Chen,ZHAO Peng,TANG Guohua,et al.Research on intelligent level of the brain of computility network[J].Telecommunications Science,2024,40(08):149-161. DOI： 10.11959/j.issn.1000-0801.2024153.

摘要

算网大脑是算力网络的智能中枢，是实现算网多要素融合编排调度的关键系统，智能化是算网大脑实现和提升业务灵活、敏捷、高效编排管理与运营能力的核心。通信产业界各方在前期算网大脑产品实现的基础上，聚焦算网大脑的智能化技术引入，并对算网大脑未来智能化演进提出了较高期望。然而，当前尚未形成体系化的算网大脑智能化水平评估方法，无法较好地评估当前算网大脑产品所处智能化水平等级、可提升环节及待优化关键指标等内容。基于业界已有工作和需求分析，研究算网大脑智能化演进目标和阶段能力，提出了一种算网大脑智能化水平分级方法，包含评估对象选择、评估流程分解、约束指标考量等细化步骤，以及一套完整适配算网大脑智能化级别评估的规则，并在最后给出了具体应用示例。该方法可有效量化算网大脑系统所处的具体级别以及向下一级演进的方向与指标，为业界分级评估和系统建设提供参考。

Abstract

Brain of computility network is the intelligent center of computility network

and it is the key system to realize multi-element orchestration and scheduling of computility network. Intelligence is the core of realizing and improving the flexible

agile and efficient orchestration

management and operation capability of the brain of computility network. Many companies in the communication industry have focused on the introduction of intelligent technology of the brain of computility network on the basis of the early realization of the products

and put forward high expectations for the intelligent evolution of the brain of computility network in the future. However

at present

there is no systematic evaluation method for the intelligence level of the brain of computility network

which cannot well evaluate the intelligence level

upgrading stages and key indicators to be optimized. Based on the existing work and demand analysis in the industry

the goal and stage capability of the intelligent evolution of the brain of computility network were studied

and a classification method of the intelligent level of the brain of computility network was put forward

which included detailed steps such as the selection of the evaluation object

the decomposition of the evaluation process

the consideration of the constraint indicators

and a complete set of rules for the evaluation of the intelligent level of the brain of computility network. Finally a concrete application example was given. The proposed method can effectively quantify the specific level of the brain of computility network system

clarify the direction and index of its evolution to the next level

and provide reference for industry intelligent evaluation and system construction.

关键词

Keywords

references

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