边缘智能：现状和展望

李肯立; 刘楚波

doi:10.11959/j.issn.2096-0271.2019025

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边缘智能：现状和展望

研究 | 更新时间：2024-06-03

- 边缘智能：现状和展望
- Edge intelligence:state-of-the-art and expectations
- 大数据 2019年5卷第3期页码：2019025-1
- 作者机构：
  
  1. 湖南大学信息科学与工程学院，湖南长沙 410082
  2. 国家超级计算长沙中心，湖南长沙 410082
- 作者简介：
  
  [ "李肯立（1971-），男，博士，湖南大学信息科学与工程学院教授、院长，国家超级计算长沙中心主任，主要研究方向为并行计算、高性能计算、网格和云计算。在国际顶级期刊、会议（如IEEE Transactions on Computers、IEEE Transactions on Parallel and Distributed Systems、ICPP、ICDCS、CCGrid等）上发表论文160余篇。担任IEEE Transactions on Computers等期刊编委，IEEE高级会员。" ]
  [ "刘楚波（1988-），男，博士，湖南大学信息科学与工程学院副教授，主要研究方向为调度和分布式系统建模、近似算法、随机算法、博弈论、云计算和边缘计算。在国际顶级期刊（如IEEE Transactions on Parallel and Distributed Systems、IEEE Transactions on Cloud Computing、ACM Transactions on Modeling and Performance Evaluation of Computing Systems等）上发表论文10篇。" ]
- 基金信息：
  
  国家重点研发计划基金资助项目;National Key Research and Development Program of China(SQ2018YFB02006);国家自然科学基金资助项目;The National Natural Science Foundation of China(61702170)
- DOI：10.11959/j.issn.2096-0271.2019025
  中图分类号： TP39
- 网络首发：2019-05，
  
  纸质出版：2019-05-15
- 稿件说明：
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李肯立, 刘楚波. 边缘智能：现状和展望[J]. 大数据, 2019,5(3):2019025-1.

Kenli LI, Chubo LIU. Edge intelligence:state-of-the-art and expectations[J]. Big Data Research, 2019, 5(3): 2019025-1.
李肯立, 刘楚波. 边缘智能：现状和展望[J]. 大数据, 2019,5(3):2019025-1. DOI： 10.11959/j.issn.2096-0271.2019025.

Kenli LI, Chubo LIU. Edge intelligence:state-of-the-art and expectations[J]. Big Data Research, 2019, 5(3): 2019025-1. DOI： 10.11959/j.issn.2096-0271.2019025.

摘要

边缘智能（即将人工智能融入边缘计算，部署在边缘设备）作为更快更好地提供智能服务的一种服务模式，已逐渐渗入各行各业。然而，当前边缘智能面临着巨大挑战。首先简要介绍了边缘智能的起源与概念；然后总结了边缘智能面临的三大挑战；最后，概括了当前针对边缘智能挑战的5个研究方向。为相关读者了解边缘智能和相关人员研究边缘智能提供一定的参考。

Abstract

Edge intelligence (EI

which merges artificial intelligence (AI) into edge computing and deploys AI methods on edge devices) is regarded as a very efficient measure to provide faster and better intelligent services

having been successfully applied to various fields.However

current EI faces great difficulties.Firstly

a brief introduction to EI was given

and then

three challenges in EI were summarized.Finally

current five research directions for solving the EI challenges were outlined.The paper was expected to provide a better understanding for people who want to know EI

and help for researchers who study EI to have an overall direction guideline.

关键词

Keywords

references

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