A game-based approach for cloudlet resource pricing for cloudlet federation

Ye, Hengzhou; Feng, Bin; Li, Xinxiao

doi:10.1007/s11227-023-05374-1

Cited by 5 publications

(6 citation statements)

References 36 publications

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Section: Related Workmentioning

confidence: 99%

“…Ref [28] roposed a pricing strategy that aims to achieve fairness for cloudlet resources. The goal is to find a middle ground that satisfies the needs and desires of both Cloudlet Infrastructure Providers (CIPs) and maximizes overall profits [28]. They introduced a model based on game theory that considers the initial quotes, idle resource rates of CIPs, and the overall profit of the Cloudlet Federation (CLF).…”

Section: Related Workmentioning

confidence: 99%

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A New Dynamic Game-Based Pricing Model for Cloud Environment

Saadatfar,

Gholampour Ahangar,

Hassannataj Joloudari

2024

Future Internet

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Resource pricing in cloud computing has become one of the main challenges for cloud providers. The challenge is determining a fair and appropriate price to satisfy users and resource providers. To establish a justifiable price, it is imperative to take into account the circumstances and requirements of both the provider and the user. This research tries to provide a pricing mechanism for cloud computing based on game theory. The suggested approach considers three aspects: the likelihood of faults, the interplay among virtual machines, and the amount of energy used, in order to determine a justifiable price. In the game that is being proposed, the provider is responsible for determining the price of the virtual machine that can be made available to the user on each physical machine. The user, on the other hand, has the authority to choose between the virtual machines that are offered in order to run their application. The whole game is implemented as a function of the resource broker component. The proposed mechanism is simulated and evaluated using the CloudSim simulator. Its performance is compared with several previous recent mechanisms. The results indicate that the suggested mechanism has successfully identified a more rational price for both the user and the provider, consequently enhancing the overall profitability of the cloud system.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A New Dynamic Game-Based Pricing Model for Cloud Environment

Saadatfar,

Gholampour Ahangar,

Hassannataj Joloudari

2024

Future Internet

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show abstract

“…The service placement problem was modeled as a planning problem, with two dynamic pricing methods proposed to maximize social welfare within edge federation [18]. A game-theoretic resource pricing approach was proposed to establish leasing relationships between supply and demand sides within edge federation, ensuring overall profit [19]. While edge federation is garnering increasing attention, there remains a scarcity of literature on resource pricing approaches for edge federation.…”

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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“…Yeet al put forward a pricing strategy that is equitable for cloudlet resources to strike a balance between the interests of Cloudlet Infrastructure Providers (CIPs) and enhance overall profits [25]. They introduced a model based on game theory that takes into account the initial quotes, idle resource rates of CIPs, and the overall profit of the Cloudlet Federation (CLF).…”

Section: Related Workmentioning

confidence: 99%

A New Dynamic Game-Based Pricing Model for Cloud Environment

Saadatfar,

Gholampour Ahangar,

Hassannataj Joloudari

2023

Preprint

View full text Add to dashboard Cite

Resource pricing in cloud computing has become one of the main challenges for cloud providers. The challenge is determining a fair and appropriate price to satisfy users and resource providers. To determine a fair price, it is necessary to consider the conditions and needs of both parties: provider and user. This research tries to provide a pricing mechanism for cloud computing based on game theory. The proposed mechanism takes into account three factors including fault possibility, interaction between virtual machines, and energy consumption to reach a fair price. In the proposed game, the provider decides on the price of the virtual machine which can be offered to the user on each physical machine and the user decides between the virtual machines offered to run its application. The whole game is implemented as a function of the resource broker component. The proposed mechanism is simulated and evaluated using the CloudSim simulator. Its performance is compared with several previous recent mechanisms. According to the results, the proposed mechanism has been able to determine a more reasonable price for the user and the provider which increases the overall profitability of the cloud system.

show abstract

A game-based approach for cloudlet resource pricing for cloudlet federation

Cited by 5 publications

References 36 publications

A New Dynamic Game-Based Pricing Model for Cloud Environment

A New Dynamic Game-Based Pricing Model for Cloud Environment

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

A New Dynamic Game-Based Pricing Model for Cloud Environment

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