Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163836
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dc.contributor.authorJiang, Yunaen_US
dc.contributor.authorKang, Jiawenen_US
dc.contributor.authorNiyato, Dusiten_US
dc.contributor.authorGe, Xiaohuen_US
dc.contributor.authorXiong, Zehuien_US
dc.contributor.authorMiao, Chunyanen_US
dc.contributor.authorShen, Sherman Xueminen_US
dc.date.accessioned2022-12-19T07:17:13Z-
dc.date.available2022-12-19T07:17:13Z-
dc.date.issued2022-
dc.identifier.citationJiang, Y., Kang, J., Niyato, D., Ge, X., Xiong, Z., Miao, C. & Shen, S. X. (2022). Reliable distributed computing for metaverse: a hierarchical game-theoretic approach. IEEE Transactions On Vehicular Technology, 1-16. https://dx.doi.org/10.1109/TVT.2022.3204839en_US
dc.identifier.issn0018-9545en_US
dc.identifier.urihttps://hdl.handle.net/10356/163836-
dc.description.abstractThe metaverse is regarded as a new wave of technological transformation that provides a virtual space for people to interact through digital avatars. To achieve immersive user experiences in the metaverse, real-time rendering is the key technology. However, computing intensive tasks of real-time rendering from metaverse service providers cannot be processed efficiently on a single resource-limited mobile device. Alternatively, such mobile devices can offload the metaverse rendering tasks to other mobile devices by adopting the collaborative computing paradigm based on Coded Distributed Computing (CDC). Therefore, this paper introduces a hierarchical game-theoretic CDC framework for the metaverse services, especially for vehicular metaverse. In the framework, idle resources from vehicles, acting as CDC workers, are aggregated to handle intensive computation tasks in the vehicular metaverse. Specifically, in the upper layer, a miner coalition formation game is formulated based on a reputation metric to select reliable workers. To guarantee the reliable management of reputation values, the reputation values calculated based on the subjective logical model are maintained in a blockchain database. In the lower layer, a Stackelberg game based incentive mechanism is considered to attract reliable workers selected in the upper layer to participate in rendering tasks. The simulation results illustrate that the proposed framework is resistant to malicious workers. Compared with the baseline schemes, the proposed scheme can improve the utility of metaverse service provider and average profit of CDC workers.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.language.isoenen_US
dc.relationAISG2-RP-2020-019en_US
dc.relationRG16/20en_US
dc.relationSRG-ISTD-2021-165en_US
dc.relationSUTD-ZJU (VP) 202102en_US
dc.relationSUTD-ZJU (SD) 202101en_US
dc.relation.ispartofIEEE Transactions on Vehicular Technologyen_US
dc.rights© 2022 IEEE. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleReliable distributed computing for metaverse: a hierarchical game-theoretic approachen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.identifier.doi10.1109/TVT.2022.3204839-
dc.description.versionPublished versionen_US
dc.identifier.scopus2-s2.0-85137865498-
dc.identifier.spage1en_US
dc.identifier.epage16en_US
dc.subject.keywordsMetaverseen_US
dc.subject.keywordsBlockchainen_US
dc.description.acknowledgementThis work was supported in part by the fund from Science, Technology and Innovation Commission of Shenzhen Municipality 2021Szvup092, in part by the National Natural Science Foundation of China under Grant U2001210 and 62102099, in part by China Scholarship Council (CSC), in part by the National Research Foundation (NRF) and Infocomm Media Development Authority under the Future Communications Research & Development Programme (FCP), under the AI Singapore Programme (AISG) (AISG2-RP-2020-019), under Energy Research Test-Bed and Industry Partnership Funding Initiative, part of the Energy Grid (EG) 2.0 programme, under DesCartes and the Campus for Research Excellence and Technological Enterprise (CREATE) programme, Alibaba Group through Alibaba Innovative Research (AIR) Program and Alibaba-NTU Singapore Joint Research Institute (JRI), and Singapore Ministry of Education (MOE) Tier 1 (RG16/20), in part by National Research Foundation, Singapore and Infocomm Media Development Authority under its Future Communications Research & Development Programme, in part by the SUTD SRG-ISTD-2021-165, the SUTD-ZJU IDEA Grant (SUTD-ZJU (VP) 202102), and the SUTD-ZJU IDEA Seed Grant (SUTD-ZJU (SD) 202101).en_US
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