Quantum Game-Based Study on the Incentive Mechanism for the Cooperative Distribution of E-Commerce Logistics Alliance

Discrete Dynamics in Nature and Society, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 16

Published: March 6, 2024

Motivating active participation in e-commerce logistics alliances to enhance delivery efficiency and customer satisfaction has long been a societal interest. Leveraging the quantum game theory, this paper develops model for incentivizing collaboration within these alliances. This enables theoretical numerical analysis of members’ strategies entanglement levels. The findings show that increase profits, achieving Nash equilibriums Pareto optimal outcomes, outperforming classical theory. In addition, size emerges as critical determinant influencing collaborative distribution. Strengthening information sharing aligning interests can levels among members, making them more inclined adopt promoting involvement Moreover, members adapt their based on initial distribution, thereby reducing ethical risks. conclusion, through analysis, we present relevant recommendations distribution

Language: Английский

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Research on Game Industry Cooperation Based on Evolutionary Game Model

Journal of Mathematics, Journal Year: 2023, Volume and Issue: 2023, P. 1 - 9

Published: April 10, 2023

With the arrival of information age, growth space game industry is expanding, and interest relationship between businesses becoming more sensitive. To alleviate increasingly fierce competitive pressure, some will seek cooperation to pursue profits, but are unwilling cooperate. In this paper, we study competition among by constructing a tripartite evolutionary model. We first obtain expected revenue using weighted average method then replicator dynamic equation. The stability sensitivity equilibrium strategy combination system discussed. Finally, simulation analysis model realized suggestions based on deductive results put forward. Simulation show that achieves at point (0, 1, 1) or (1, 1). indicates online select competition, while web stand-alone cooperation. actively seeks

Language: Английский

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AMBITION: Ambient Temperature Aware VM Allocation for Edge Data Centers

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 68501 - 68511

Published: Jan. 1, 2023

Edge data centers are increasingly deployed to improve response time of intelligent services. Due the high computing demands for such services, edge consume a considerable amount power, generating excessive heat. To mitigate thermal problems with smaller cooling usually trigger software-based management techniques along air systems. Unfortunately, ambient temperature servers often has surge due consolidation VMs and heat propagation among components (e.g., CPU, GPU, memory unit, disk, etc.). Higher further increases on-chip temperature, invoking more frequent throttling. resolve deteriorated by in this paper, we propose an aware VM allocation technique, called AMBITION. Considering performance impact AMBITION estimates actual capacity servers. Based on VMs, finds appropriate server which sufficient ambient-aware run VM; it allocates computation-intensive higher capacity, distributes memory-intensive individual as much possible. In our experiments center, shows execution speedup 50.3%, average (up 73.8%), compared conventional technique while saving system-wide energy 5.9% 13.6%). At expense 5.8% (from 50.3% 44.5%), saves power 84.3%, leading 29.3% total center saving.

Language: Английский

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Exploring the Benefits of Representing Multiplayer Game Data in a Coordinate System

Journal of Applied Mathematics, Journal Year: 2023, Volume and Issue: 2023, P. 1 - 7

Published: Oct. 28, 2023

In the realm of game theory, a range mathematical approaches exists for representation data, with extensive form (depicted as tree) and normal (illustrated payoff matrix) standing out most prevalent. However, significant drawback associated these is their limited scalability. As number players or strategic options increases, techniques progressively lose feasibility become less practical meaningful analysis. The present work proposes an alternative approach that significantly enhances data in two- three-player games. Within this framework, conventional matrix substituted coordinate system, employing plane two-player games space This offers numerous advantages when compared to other methods. For instance, Nash equilibrium can be readily identified within without requiring duration exhaustively examine all strategies its determination. By approach, becomes more convenient efficient, making it easier analyze comprehend underlying employed by players.

Language: Английский

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An Energy Resource Management for Cluster based IoHV Supported by Fog Computing

Karbala International Journal of Modern Science, Journal Year: 2024, Volume and Issue: 11(1)

Published: Dec. 14, 2024

Internet of Hybrid Vehicle Networks (IoHV) is a network generated by merging the with Vehicular Ad-Hoc Network (H-VANET). In IoHV, various types electric and fuel vehicles create tasks. However, executing several tasks affects their lifetime because they suffer from energy limitation issues which one IoHV challenges. On other hand, fog nodes have unlimited can be used to execute most quickly. this paper, we produce new Energy Resource management Technique for called ERTH that aims offload nodes. The main goal saving vehicles. As result, probability switching off number, time, cost recharging batteries will reduced. Moreover, propose energy-aware clustering method connect vehicles, It help save balance load. results showed better than PLIFS RMOIE according EC. NDEV approximately 47.2% 42.4% different numbers 26.19% 14.1% mobility speeds less RMOIE, respectively. Finally, PET 2.1% 3.09% 1.9% 3.18% more

Language: Английский

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