A Dynamic Bargaining Game with Externalities

Wang, Xianjia; Liu, Jia

doi:10.1007/s11424-018-7238-1

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…R α(i),i represents the revenue that EIP α (i) earns for running a container for processing its requests from SP i. In equation (24), the first term on the right means the sum of EIP α (i)'s income to run n i containers, where the second term on the right denotes the overheads of EIP α (i). edge node).…”

Section: Optimal Coalition Allocation Utilitymentioning

confidence: 99%

“…a relative equilibrium state. X. Wang[24] et al investigate the dynamic bargaining games with externalities and analyzes the effect of externality on the payoffs of players, which shows that externality affects the results of the bargaining game, and coalition structures affect the payoffs of players. Thus, they are suitable for multiobjective scenarios, especially for solving the optimization problem with economical cost and time cost as objectives.…”

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confidence: 99%

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The Fisher Market Equilibrium Price Based Multi-Access Edge Computing Coalition Formation

Wang

Dang

Zhao

et al. 2021

Preprint

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The emergence of multi-access edge computing (MEC) aims at extending cloud computing capabilities to the edge of the radio access network. As the large-scale IoT services are rapidly growing, a single edge infrastructure provider (EIP) may not be sufficient to handle the data traffic generated by these services. The coalition method has been used in MEC for resource optimization, latency, energy consumption reduction, computation offloading, etc. However, the majority of research does not consider the price of computing resources corresponded to a container. Moreover, each SP does not choose EIP with the highest cost-performance to sign a medium/long-term computing resource purchase or lease contract. In this work, we consider a scenario with a collection of SPs with different budgets and several EIPs distributed in geographical locations. During the first phase, we get the market equilibrium price and select the optimal EIPs to make a deal by solving the Eisenberg-Gale convex program. In the second stage, using a mathematical model, we maximize EIP's profits and form stable coalitions between EIPs by a distributed coalition formation algorithm. Numerical results demonstrate that the effectiveness of our method is significantly better than the existing model.

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Section: Optimal Coalition Allocation Utilitymentioning

confidence: 99%

mentioning

confidence: 99%

The Fisher Market Equilibrium Price Based Multi-Access Edge Computing Coalition Formation

Wang

Dang

Zhao

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The bargaining game model is an earlier research method applied in this field. Relevant research mainly focuses on the revenue-sharing ratio and the revenue discount factor [18]. The principal-agent model can more deeply analyze the cooperative relationship between buyers and sellers and can be applied in different market environments (such as a monopoly, an oligopoly, etc.…”

Section: Introductionmentioning

confidence: 99%

The Pricing Strategy of Digital Content Resources Based on a Stackelberg Game

Yan

Yuan

2022

Sustainability

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This paper uses a Stackelberg game model to analyze the profit function composition of digital content resource producers and publishers and uses a numerical simulation method to explore the equilibrium relationships between the various factors that affect the pricing strategy. The findings are as follows: ① platform-based publishers of digital content resources adopt a cost-plus pricing method for a single broadcast price; ② the revenue-sharing ratio of the producers decreases as the single broadcast cost increases; ③ the viewing effect is affected by many factors, such as copyright fees, investment difficulty, sales coefficient, and unit cost. Overall, the main contribution of this manuscript is to make an innovative demonstration and analysis of the factors affecting the pricing strategy of digital content resources, and the results of this paper can promote the transaction of digital content resources and ensure the sustainable development of the digital content industry.

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Resource Allocation Based on DEA and Non-Cooperative Game

Wang

Dai

et al. 2021

J Syst Sci Complex

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A Dynamic Bargaining Game with Externalities

Cited by 5 publications

References 13 publications

The Fisher Market Equilibrium Price Based Multi-Access Edge Computing Coalition Formation

The Fisher Market Equilibrium Price Based Multi-Access Edge Computing Coalition Formation

The Pricing Strategy of Digital Content Resources Based on a Stackelberg Game

Resource Allocation Based on DEA and Non-Cooperative Game

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