Joint Optimization of Task Offloading and Resource Allocation in Heterogeneous Edge Networks
With the development of intelligent transportation systems (ITS), powerful vehicular applications are gaining popularity, which brings significant challenges to resource-constrained vehicles. The emergence of edge computing empowers vehicles to offload computation tasks to edge devices in the intern...
Saved in:
Published in | 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS) pp. 601 - 606 |
---|---|
Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
16.08.2024
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | With the development of intelligent transportation systems (ITS), powerful vehicular applications are gaining popularity, which brings significant challenges to resource-constrained vehicles. The emergence of edge computing empowers vehicles to offload computation tasks to edge devices in the internet of vehicles (IoV), thereby alleviating the problem of constrained computing resources in vehicles. In this paper, we investigate the task offloading and resource allocation in heterogeneous edge networks (HENets). The problem of the task offloading and resource allocation is formulated to minimize the system total cost composed of the service delay and energy consumption. To address this problem, we propose a particle swarm optimization (PSO) based task offloading and resource allocation (PTORA) algorithm. Simulation results demonstrate that our proposed algorithm has better performance. |
---|---|
AbstractList | With the development of intelligent transportation systems (ITS), powerful vehicular applications are gaining popularity, which brings significant challenges to resource-constrained vehicles. The emergence of edge computing empowers vehicles to offload computation tasks to edge devices in the internet of vehicles (IoV), thereby alleviating the problem of constrained computing resources in vehicles. In this paper, we investigate the task offloading and resource allocation in heterogeneous edge networks (HENets). The problem of the task offloading and resource allocation is formulated to minimize the system total cost composed of the service delay and energy consumption. To address this problem, we propose a particle swarm optimization (PSO) based task offloading and resource allocation (PTORA) algorithm. Simulation results demonstrate that our proposed algorithm has better performance. |
Author | Feng, Kuiyuan Xu, Jinkun Mei, Zhixin He, Pan Dong, Aofei Du, Hebing |
Author_xml | – sequence: 1 givenname: Zhixin surname: Mei fullname: Mei, Zhixin email: 2022210516077@stu.cqnu.edu.cn organization: Chongqing Normal University,Chongqing,China – sequence: 2 givenname: Hebing surname: Du fullname: Du, Hebing email: 2022210516042@stu.cqnu.edu.cn organization: Chongqing Normal University,Chongqing,China – sequence: 3 givenname: Pan surname: He fullname: He, Pan email: 2022210516049@stu.cqnu.edu.cn organization: Chongqing Normal University,Chongqing,China – sequence: 4 givenname: Aofei surname: Dong fullname: Dong, Aofei email: 2022210516041@stu.cqnu.edu.cn organization: Chongqing Normal University,Chongqing,China – sequence: 5 givenname: Kuiyuan surname: Feng fullname: Feng, Kuiyuan email: 2022210516043@stu.cqnu.edu.cn organization: Chongqing Normal University,Chongqing,China – sequence: 6 givenname: Jinkun surname: Xu fullname: Xu, Jinkun email: 2023110516069@stu.cqnu.edu.cn organization: Chongqing Normal University,Chongqing,China |
BookMark | eNqFjrsKwjAUQCPo4OsPBO8PWNM2te0oPhAHC9pRkNDeltCaK0lE9Osd1NnpDOcMZ8C6mjQyNvW55_s8na-z1WkRiijxAh4Iz-cxF5GIOmycxmkSRjyM40QEfXbek9IOsptTV_WSTpEGqiCXtoGsqlqSpdI1SF3CES3dTYGwbFsqPqnSsEOHhmrUSHcLm7JGOKB7kGnsiPUq2Vocfzlkk-0mX-1mChEvN6Ou0jwvv7nwj34DBvBD2Q |
ContentType | Conference Proceeding |
DBID | 6IE 6IL CBEJK RIE RIL |
DOI | 10.1109/DOCS63458.2024.10704545 |
DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume IEEE Xplore All Conference Proceedings IEEE Explore IEEE Proceedings Order Plans (POP All) 1998-Present |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: RIE name: IEEE Explore url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
EISBN | 9798350377842 |
EndPage | 606 |
ExternalDocumentID | 10704545 |
Genre | orig-research |
GroupedDBID | 6IE 6IL CBEJK RIE RIL |
ID | FETCH-ieee_primary_107045453 |
IEDL.DBID | RIE |
IngestDate | Wed Oct 16 05:58:50 EDT 2024 |
IsPeerReviewed | false |
IsScholarly | false |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-ieee_primary_107045453 |
ParticipantIDs | ieee_primary_10704545 |
PublicationCentury | 2000 |
PublicationDate | 2024-Aug.-16 |
PublicationDateYYYYMMDD | 2024-08-16 |
PublicationDate_xml | – month: 08 year: 2024 text: 2024-Aug.-16 day: 16 |
PublicationDecade | 2020 |
PublicationTitle | 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS) |
PublicationTitleAbbrev | DOCS |
PublicationYear | 2024 |
Publisher | IEEE |
Publisher_xml | – name: IEEE |
Score | 3.86985 |
Snippet | With the development of intelligent transportation systems (ITS), powerful vehicular applications are gaining popularity, which brings significant challenges... |
SourceID | ieee |
SourceType | Publisher |
StartPage | 601 |
SubjectTerms | Costs Delays Edge computing Energy consumption Intelligent transportation systems Internet of Vehicles Optimization Particle swarm optimization Resource allocation Resource management Simulation Task offloading |
Title | Joint Optimization of Task Offloading and Resource Allocation in Heterogeneous Edge Networks |
URI | https://ieeexplore.ieee.org/document/10704545 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3NS8MwFH-4nTypWPFjSg5eW_vd9ShzowxsBSfsIIykSWRsJsO2F_96k7RVFAVvIYTkkZfk5b38fi8A10lCA4-R0C5db2yHZchtgpPITjUojLs8xZ4mON_ncfYUzpfRsiOrGy4MY8yAz5iji-Ytn8qy0aEytcMTnTEuGsBg7PotWavDbHluenNXTB7jIIw0YssPnb71t39TjNmYHUDeD9iiRTZOUxOnfP-Ri_HfEh2C9cXQQw-ftucI9pg4hue5XIsaFeoUeO3olUhytMDVBhWcb6XByyMsKOqj9uh2q62ZaboWKNPgGKnWFJNNhab0haG8xYlXFoxm08Uks7V4q12bpGLVSxacwFBIwU4B-QFVzgb1x3GpvMLYJRgrLakLHME-Tkl8BtavXZz_UX8B-3qidYTVi0cwrN8adqlMdE2ujGo-AD0Jl9I |
link.rule.ids | 310,311,786,790,795,796,802,27956,55107 |
linkProvider | IEEE |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1NS8MwGH7RedCTihU_pubgtbXfXY8yN-rcWsEKOwgjaVMZm4nY9uKvN0lbRVHwFkJIXvL1JG-e5w3AZRDkjkWJq2emNdDdzC10ggNPDyUprDCLEFtS4DyL_ejRncy9eStWV1oYSqkin1FDJtVbfs6zWrrKxAoPZMQ4bxO2BNCbQSPXallblhle3STDB99xPcnZsl2jK__t5xQFHONdiLsmG77IyqgrYmTvP6Ix_tumPdC-NHro_hN99mGDsgN4mvAlq1Ai9oGXVmCJeIFSXK5QUhRrrhjzCLMcdX57dL2WeKaKLhmKJD2Gi1lFeV2iUf5MUdwwxUsN-uNROox0ad7itQlTsegscw6hxzijR4BsJxfXjdwe-Jm4F_omwViMkzjCEWzjkPjHoP1axckf-RewHaWz6WJ6G9-dwo7sdOlvtfw-9Kq3mp4JwK7IuRqmD2i8myY |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2024+6th+International+Conference+on+Data-driven+Optimization+of+Complex+Systems+%28DOCS%29&rft.atitle=Joint+Optimization+of+Task+Offloading+and+Resource+Allocation+in+Heterogeneous+Edge+Networks&rft.au=Mei%2C+Zhixin&rft.au=Du%2C+Hebing&rft.au=He%2C+Pan&rft.au=Dong%2C+Aofei&rft.date=2024-08-16&rft.pub=IEEE&rft.spage=601&rft.epage=606&rft_id=info:doi/10.1109%2FDOCS63458.2024.10704545&rft.externalDocID=10704545 |