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dc.contributor.author Song, Juho -
dc.contributor.author Kim, BaekGyu -
dc.contributor.author Kwak, Jeongho -
dc.contributor.author Choi, Ji-Woong -
dc.contributor.author Chwa, Hoon Sung -
dc.date.accessioned 2024-12-08T19:10:13Z -
dc.date.available 2024-12-08T19:10:13Z -
dc.date.created 2024-11-01 -
dc.date.issued 2024-08-21 -
dc.identifier.isbn 9798350387957 -
dc.identifier.issn 2325-1301 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/57270 -
dc.description.abstract To enhance the performance of autonomous driving, recent studies have been incorporating various tasks that require increasingly more computation. As computational demands increase, it is often difficult to achieve timely execution with the limited performance of onboard computing units alone. To address this issue, Vehicle Edge Computing (VEC), which offloads computational workloads to the edge and retrieves the results back to the vehicle, is gaining significant attention. To achieve efficient offloaded analytics via VEC, it is crucial to comprehensively consider both of the computing and network conditions of the V2X systems, as well as the vehicle energy consumption and timely execution. However, current studies have not sufficiently addressed the comprehensive modeling of computational and network loads in these V2X systems. To deal with this, we propose a Cooperative Network-Computation Load Balancing Simulator for VEC. © 2024 IEEE. -
dc.language English -
dc.publisher IEEE Computer Society -
dc.relation.ispartof Proceedings - 2024 IEEE 30th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2024 -
dc.title Cooperative Network-Computation Load Balancing Simulator for Vehicular Edge Computing -
dc.type Conference Paper -
dc.identifier.doi 10.1109/RTCSA62462.2024.00028 -
dc.identifier.wosid 001338149700017 -
dc.identifier.scopusid 2-s2.0-85207103249 -
dc.identifier.bibliographicCitation Song, Juho. (2024-08-21). Cooperative Network-Computation Load Balancing Simulator for Vehicular Edge Computing. 30th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2024, 130–131. doi: 10.1109/RTCSA62462.2024.00028 -
dc.identifier.url https://rtcsa2024.github.io/?page=program.html -
dc.citation.conferenceDate 2024-08-21 -
dc.citation.conferencePlace KO -
dc.citation.conferencePlace 속초 -
dc.citation.endPage 131 -
dc.citation.startPage 130 -
dc.citation.title 30th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2024 -
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김백규
Kim, BaekGyu김백규

Department of Electrical Engineering and Computer Science

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