Cost-aware resource management based on market pricing mechanisms in edge federation environments

Huang, Feng-Yi; Ye, Hengzhou; Wu, Hao

doi:10.1007/s11227-022-04870-0

Cited by 4 publications

(1 citation statement)

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“…Despite acknowledging the cooperative relationships among EIPs, many studies overlook the incentive issues within edge federation. Notably, pricing problems significantly impact edge resource utilization and profits [16]. A two-stage auction-based resource pricing model was constructed to maximize total profits for edge federation [17].…”

Section: Related Workmentioning

confidence: 99%

Tripartite Game Theory-Based Edge Resource Pricing Approach for Edge Federation

Ye,

Feng,

2024

Preprint

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Mobile Edge Computing (MEC) deploys edge servers close to end-users to address their computing requirements, with an emphasis on minimizing latency and enhancing security. However, the significant deployment costs associated with edge servers and the potential for resource wastage due to redundant deployment by various Edge Infrastructure Providers (EIPs) highlight the importance of adopting edge federation architecture. This architectural approach aims to deliver superior computing services tailored for MEC scenarios. Nevertheless, effective resource allocation and pricing strategies are crucial to ensure optimal resource sharing within the edge federation. This paper presents a game-theoretic model involving three primary stakeholders: terminal users, resource demanders within the federation, and resource providers within the federation. The game among these stakeholders is structured into two levels, with negotiation rounds playing a pivotal role. At the first level, the game outlines the initial resource demands of terminal users and the initial pricing by EIPs, while also considering the influence of historical pricing trends on resource demands. The second level focuses on defining the psychological expectations of resource demanders within the federation and the initial pricing by resource providers. To solve this game model, this paper introduces the Tripartite Game Pricing Approach (TGPA). Simulation results corroborate that TGPA outperforms existing pricing approaches, yielding higher total revenue for the edge federation and ensuring a certain utilization of computational resources within acceptable time constraints.

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Section: Related Workmentioning

confidence: 99%