Resource Allocation With Multiagent Trading Over the Edge Services

Autor:	Yee-Ming Chen, Chung-Hung Hsieh
Rok vydání:	2022
Předmět:	Hardware and Architecture Geology Geotechnical Engineering and Engineering Geology
Zdroj:	International Journal of Fog Computing. 5:1-11
ISSN:	2572-4894 2572-4908
Popis:	A number of studies have recently emerged to address the issue of resource allocation in edge computing environments. However, there are few works considering how to optimize resource allocation while satisfying market's requirements in multiagent technique for distributed allocation of Edge resources in distributed control. This study use trading-based multiagent resource allocation model as an allocation mechanism to optimal allocate resources through genetic algorithm in an Edge computing environment. The proposed model supports the optimal process between Edge computing cases to apply and allows Edge buyers and Edge providers both to derive their own pricing strategies and to analyze the respective impact to their welfare. The k-pricing schemes are adjustly to meet the Edge users/providers requirement and constraints set by composed services.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::06f28f2499a984bc40ae3ee53a45fac9 https://doi.org/10.4018/ijfc.309138 Zobrazit plný text záznamu