Web 3.0-Enabled Microservice Re-Scheduling for Heterogenous Resources Co-Optimization in Metaverse-Integrated Edge Networks

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
6
Authors
Yang, Yihong; Zhou, Zhangbing; Shu, Lei; Zhou, Feng; Gaaloul, Walid; Khan, Arif Ali

Publication channel information

Title of journal/series
ACM transactions on autonomous and adaptive systems
ISSN (print)
1556-4665
ISSN (electronic)
1556-4703
ISSN (linking)
1556-4665
Publisher
ACM
Publication forum ID
50132
Publication forum level
2
Internationality
Yes

Detailed publication information

Publication year
2025
Bibliographical publication year
2025
Reporting year
2025
Journal/series volume number
20
Journal/series issue number
3
Article number
22
DOI
10.1145/3715700
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
No

Availability

Link to online publication
Link to self-archived version

Classification and additional information

MinEdu field of science classification
113 Computer and information sciences
Keywords
Web 3.0; Microservice Re-Scheduling; Heterogenous Resources Co-Optimization; Metaverse; Connected Autonomous Vehicles (CAVs)

Funding information

Funding information in the publication
This work was supported by the National Natural Science Foundation of China under Grant No. 62372420, by the “Deep-time Digital Earth” Science and Technology Leading Talents Team Funds for the Central Universities for the Frontiers Science Center for Deep-time Digital Earth, China University of Geosciences (Beijing) (Fundamental Research Funds for the Central Universities under Grant No. 2652023001), and by China Geological Survey (CGS) work project: “Geoscience literature knowledge services and decision supporting” (Project code: DD20230139)

Source database ID

WoS ID
WOS:001608437100003
Scopus ID
2-s2.0-105018668198