大数据 ›› 2023, Vol. 9 ›› Issue (1): 63-77.doi: 10.11959/j.issn.2096-0271.2023011
朱锐, 王宏志, 崔双双, 张恺欣, 燕钰
出版日期:
2023-01-15
发布日期:
2023-01-01
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、数据库索引基金资助:
Rui ZHU, Hongzhi WANG, Shuangshuang CUI, Kaixin ZHANG, Yu YAN
Online:
2023-01-15
Published:
2023-01-01
Supported by:
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。
中图分类号:
朱锐, 王宏志, 崔双双, 张恺欣, 燕钰. 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, Kaixin ZHANG, Yu YAN. Cloud-edge-end collaborative big data management for metaverse[J]. Big Data Research, 2023, 9(1): 63-77.
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