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Status已发表Published
TitleCost-aware resource management based on market pricing mechanisms in edge federation environments
Creator
Date Issued2023-04-01
Source PublicationJournal of Supercomputing
ISSN0920-8542
Volume79Issue:6Pages:5939-5961
Abstract

The edge federation meets the needs of different users through resource allocation and service configuration across edge-independent computing providers and clouds, promoting the better collaboration of resources among edge clusters and effectively improving the user service quality. Existing edge federation solutions focus mainly on enabling resource sharing to satisfy users with different resource requirements, ignoring the actual profits of edge service providers (ESPs) and the fact that many resource owners may not be motivated to work with other providers in edge federation environments. In this paper, we are the first to consider a situation in that ESPs rent resources from other ESPs under specific circumstances in edge federation environments, and a reasonable rental price determines the participation and profitability of ESPs. Therefore, we propose three pricing mechanisms based on economic models to reasonably set ESPs’ external rental resources prices to maximize the service providers’ profit. Extensive simulation studies evaluate the effectiveness of the algorithms and revenue models and also demonstrate that pricing mechanism 2 (PriM2) is the closest to the optimal solution, and ESPs adopt PriM2 to bring higher revenue than no pricing mechanism and pricing mechanism 1.

KeywordEconomic models Edge federation Pricing mechanism Profits for ESPs Rental resources
DOI10.1007/s11227-022-04870-0
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000875525400002
Scopus ID2-s2.0-85140905157
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/10574
CollectionBeijing Normal-Hong Kong Baptist University
Corresponding AuthorYe, Hengzhou
Affiliation
1.Guangxi Key Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, Yanshan, Guilin, 541006, China
2.Guangdong Key Lab of AI and Multi-Modal Data Processing, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, 519000, China
First Author AffilicationBeijing Normal-Hong Kong Baptist University
Recommended Citation
GB/T 7714
Huang, Fengyi,Ye, Hengzhou,Hao, Wei. Cost-aware resource management based on market pricing mechanisms in edge federation environments[J]. Journal of Supercomputing, 2023, 79(6): 5939-5961.
APA Huang, Fengyi, Ye, Hengzhou, & Hao, Wei. (2023). Cost-aware resource management based on market pricing mechanisms in edge federation environments. Journal of Supercomputing, 79(6), 5939-5961.
MLA Huang, Fengyi,et al."Cost-aware resource management based on market pricing mechanisms in edge federation environments". Journal of Supercomputing 79.6(2023): 5939-5961.
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