面向元宇宙的云边端协同大数据管理

朱锐; 王宏志; 崔双双; 张恺欣; 燕钰

doi:10.11959/j.issn.2096-0271.2023011

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面向元宇宙的云边端协同大数据管理

专题：元宇宙与大数据 | 更新时间：2024-06-05

- 面向元宇宙的云边端协同大数据管理
- Cloud-edge-end collaborative big data management for metaverse
- 大数据 2023年9卷第1期页码：63-77
- 作者机构：
- 作者简介：
  
  [ "朱锐（1998- ），女，哈尔滨工业大学计算机科学与技术学院博士生，发表EI检索论文1篇，主要研究方向为AI4DB、大数据、数据库索引" ]
  [ "王宏志（1978- ），男，哈尔滨工业大学计算学部长聘教授、博士生导师，计算机科学与工程系主任，海量数据计算研究中心主任，数据科学与大数据技术专业负责人，美国加州大学欧文分校博士后，微软亚洲研究院铸星计划访问学者，青年龙江学者。主要研究方向为大数据治理、大数据管理与分析、数据库系统、工业大数据等。在国内外重要会议和期刊发表学术论文300余篇，出版学术专著4本。论文被SCI收录百余次，他引4 000余次，授权发明专利32项。获微软学者、中国优秀数据库工程师、IBM博士英才等称号，获黑龙江省自然科学奖一等奖和教育部高等学校科技进步奖一等奖，获黑龙江省青年科技奖、宝钢优秀教师奖、CSC-IBM奖教金。主持国家自然科学基金重点项目、国家支撑计划课题、国家博士后特别资助项目等10余个项目，主讲的课程获批国家一流线上课程。中国计算机学会杰出会员，ACM SIGMOD中国秘书长、教育部高等学校计算机类专业教学指导委员会计算机系统专家委员会委员、中国计算机学会数据库专业委员会常务委员、中国计算机学会大数据专家委员会委员、哈尔滨工业大学计算学部校友会秘书长、ACM数据科学学科标准编写组专家、黑龙江省“头雁团队”成员" ]
  [ "崔双双（1997- ），女，哈尔滨工业大学计算机科学与技术学院博士生，发表EI检索论文两篇，主要研究方向为数据库存储、AI4DB" ]
  [ "张恺欣（1999- ），男，哈尔滨工业大学计算机科学与技术学院博士生，在TKDE期刊发表过论文1篇，公示专利两篇，主要研究方向为数据库系统、AI4DB" ]
  [ "燕钰（1996- ），女，哈尔滨工业大学计算机科学与技术学院博士生，发表SCI检索论文1篇、EI检索论文3篇，主要研究方向为AI4DB、大数据" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(62232005)
- DOI：10.11959/j.issn.2096-0271.2023011
  中图分类号： TP391.9
- 网络首发：2023-01，
  
  纸质出版：2023-01-15
- 稿件说明：
移动端阅览
朱锐, 王宏志, 崔双双, 等. 面向元宇宙的云边端协同大数据管理[J]. 大数据, 2023,9(1):63-77.

Rui ZHU, Hongzhi WANG, Shuangshuang CUI, et al. Cloud-edge-end collaborative big data management for metaverse[J]. Big data research, 2023, 9(1): 63-77.
朱锐, 王宏志, 崔双双, 等. 面向元宇宙的云边端协同大数据管理[J]. 大数据, 2023,9(1):63-77. DOI： 10.11959/j.issn.2096-0271.2023011.

Rui ZHU, Hongzhi WANG, Shuangshuang CUI, et al. Cloud-edge-end collaborative big data management for metaverse[J]. Big data research, 2023, 9(1): 63-77. DOI： 10.11959/j.issn.2096-0271.2023011.

摘要

随着元宇宙的用户不断增多，数据量也相应地增长，这给元宇宙的数据管理带来了挑战。大数据管理技术对元宇宙的实现至关重要。对元宇宙中的数据管理技术进行了讨论，将元宇宙分解为云、边、端3个层次，分析了元宇宙中的大数据的特点和数据管理特点，讨论了面向元宇宙的云边端数据管理的4个挑战，并从数据模型、数据同步、数据存取、查询优化4个方面提出相应的研究路线。

Abstract

With the increasing number of users in the metaverse

the data also increases accordingly

which brings challenges to the data management of the metaverse.Big data management techniques are essential to realizing the metaverse.Therefore

data management technology in the metaverse was discussed.The metaverse was decomposed into three levels cloud

edge

and end.The massive data in the metaverse was analyzed.The four challenges of data management in the metaverse were discussed

and the corresponding research routes were put forward from four aspects of data synchronization

data access

data model

and query optimization.

关键词

Keywords

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