Two-stage computing offloading algorithm in cloud-edge collaborative scenarios based on game theory

Xu, Fei; Xie, Yue; Sun, Yongyong; Qin, Zengshi; Li, Gaojie; Zhang, Zhuoya

doi:10.1016/j.compeleceng.2021.107624

Cited by 19 publications

(5 citation statements)

References 22 publications

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“…Game theory is concerned with the interaction between formulaic incentive structures ( Guo and Harmati, 2022 ). It is a mathematical theory and method to study the phenomena with the nature of struggle or competition ( Xu et al, 2022 ). In this article, game theory considers the behavior of the government in the game and the individual behavior of the isolated person and studies their optimization strategies.…”

Section: Methodsmentioning

confidence: 99%

From depression to wellbeing: How to protect the mental health of isolated people under the “dynamic clearance” of patients with COVID-19

Bai

Ma²

2023

Front. Psychol.

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In 2020, COVID-19 became a global pandemic. The Chinese government’s quarantine measures tend to cause anxiety, tension and depression among the quarantined people. This article constructs a differential game model of self-regulation, government guidance and social forces guidance. Then, the psychological benefits of the masses and the benefits of the whole society under the three modes are obtained, and the applicable conditions of various connection modes are compared. The research results show that: compared with social power channeling, the public under the government channeling mode can obtain more psychological benefits. However, with the increase of guidance, the difference between the psychological benefits of different ways of guidance first decreases and then tends to be stable. Under the guidance mode, the social benefits of the government decrease, and the more guidance, the smaller the social benefits. Therefore, both the government and social forces should make use of limited resources to conduct appropriate psychological counseling for the isolated population.

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Section: Methodsmentioning

confidence: 99%

From depression to wellbeing: How to protect the mental health of isolated people under the “dynamic clearance” of patients with COVID-19

Bai

Ma²

2023

Front. Psychol.

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“…Although mobile edge computing outperforms cloud computing in terms of low latency and reliability, cloud computing has not yet completely been replaced by mobile edge computing. Aiming to maximize the utilization of computing resources and leverage parallel computing, Xu, Xie [40] explores the possibility of offloading several mobile devices in the context of cloudside collaboration. By way of game theory, they first determine the optimal offloading decision for edge-to-terminal terminals, then determine the optimal offloading decisions for cloud-edge terminals that select to offload to the edge, and at least arrive at optimal offloading on the three sides of the cloud-edge terminal.…”

Section: Game Theory-enabled Approachesmentioning

confidence: 99%

Incentive approaches for cloud computing: challenges and solutions

Yunlong,

Jie

2024

J. Eng. Appl. Sci.

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Cloud computing enables highly configurable and reliable computing resources on a rentable per-use scheme, facilitating quick and cost-effective provisioning of large-scale applications. Thanks to the fast-paced evolution of cutting-edge technologies and the rapid spread of cloud-based solutions, the cloud computing ecosystem is now part of our everyday lives. Nevertheless, cloud computing relies on highly sophisticated data centers comprising energy-consuming servers and equipment that require much energy. Stimulating cloud services for active participation and network contributions presents several challenges. Strategies based on artificial intelligence (AI), game theory, and blockchain have great potential to create an economically sustainable cloud ecosystem. This paper explores strategies grounded in AI, game theory, and blockchain to foster an economically sustainable cloud ecosystem. Informed by a survey study, our research delves into incentive approaches within cloud computing. Theoretical foundations, motivations, and enabling techniques are comprehensively examined to provide valuable insights for a broad audience. The primary contributions of this work lie in elucidating the application of AI, game theory, and blockchain to address challenges in incentivizing cloud services, paving the way for a more sustainable and efficient cloud computing landscape.

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“…Correspondingly, edge computing has the advantage of a low transmission delay and a high service responsiveness due to its deployment at the edge despite certain resource constraints in terms of computation and storage [20]. Thus, cloud-edge collaboration technology can better overcome the shortcomings of both cloud computing and edge computing, and has attracted a lot of research attention from academia and industry in recent years, in areas such as computational offloading [21][22][23], task and resource scheduling [24][25][26], and resource allocation [27][28][29][30], so as to achieve a lower transmission latency and better user experience.…”

Section: Literature Reviewmentioning

confidence: 99%

Service Mechanism for the Cloud–Edge Collaboration System Considering Quality of Experience in the Digital Economy Era: An Evolutionary Game Approach

Liu

et al. 2023

Systems

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In the digital economy era, cloud–edge collaboration technology provides the necessary technical support for the digital transformation of enterprises, which can improve the quality of services (QoS), and it attracts extensive attention from scholars and entrepreneurs from all fields. Under the bounded-rationality hypothesis, this paper investigates the service mechanism for the cloud–edge collaboration system considering the quality of experience (QoE) and presents a dynamic evolutionary game model between cloud service providers and edge operators by applying the evolutionary game theory. Then, this paper analyzes the equilibrium and stability conditions for the decision-making of both parties involved to guarantee the QoE reaches the ideal state. In addition, we investigate the factors that influence the stable cooperation between the two evolutionary stable strategies and validate the theoretical analytical results with numerical simulations. The research results show that the final evolution of the cloud–edge collaboration system depends on the benefits and costs of the game matrix between the two parties and the initial state values of the system. Under a specific condition, the cloud–edge collaboration system can eventually be driven to be an ideal state by reducing the collaboration cost and improving the collaboration benefit. The more both parties focus on the QoE, the more conducive it will be for the formation of a cloud–edge collaboration, thus effectively promoting long-term stability and better serving enterprises’ digital transformation.

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Two-stage computing offloading algorithm in cloud-edge collaborative scenarios based on game theory

Cited by 19 publications

References 22 publications

From depression to wellbeing: How to protect the mental health of isolated people under the “dynamic clearance” of patients with COVID-19

From depression to wellbeing: How to protect the mental health of isolated people under the “dynamic clearance” of patients with COVID-19

Incentive approaches for cloud computing: challenges and solutions

Service Mechanism for the Cloud–Edge Collaboration System Considering Quality of Experience in the Digital Economy Era: An Evolutionary Game Approach

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