A Bayesian game-enhanced auction model for federated cloud services using blockchain

Shi, Zeshun; Zhou, Huan; Laat, Cees de; Zhao, Zhiming

doi:10.1016/j.future.2022.05.017

Cited by 12 publications

(6 citation statements)

References 18 publications

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“…When the value of the auctioned item increases, the cost of a centralized auction will increase significantly. This will discourage the widespread adoption of auction applications by regular users [66].…”

Section: A Current Issues Of Centralized Auctionsmentioning

confidence: 99%

Integration of Blockchain and Auction Models: A Survey, Some Applications, and Challenges

Laat

Grosso

Shi

2023

IEEE Commun. Surv. Tutorials

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In recent years, blockchain has gained widespread attention as an emerging technology for decentralization, transparency, and immutability in advancing online activities over public networks. As an essential market process, auctions have been well studied and applied in many business fields due to their efficiency and contributions to fair trade. Complementary features between blockchain and auction models trigger a great potential for research and innovation. On the one hand, the decentralized nature of blockchain can provide a trustworthy, secure, and cost-effective mechanism to manage the auction process; on the other hand, auction models can be utilized to design incentive and consensus protocols in blockchain architectures. These opportunities have attracted enormous research and innovation activities in both academia and industry; however, there is a lack of an in-depth review of existing solutions and achievements. In this paper, we conduct a comprehensive state-ofthe-art survey of these two research topics. We review the existing solutions for integrating blockchain and auction models, with some application-oriented taxonomies generated. Additionally, we highlight some open research challenges and future directions towards integrated blockchain-auction models.

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Section: A Current Issues Of Centralized Auctionsmentioning

confidence: 99%

Integration of Blockchain and Auction Models: A Survey, Some Applications, and Challenges

Laat

Grosso

Shi

2023

IEEE Commun. Surv. Tutorials

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“…Industrial and service applications often require federated cloud services from multiple providers to improve reliability and flexibility (Shi et al, 2022), Therefore, in addition to the optimization research at the technical level, there are also more and more studies to continue to improve and optimize the cloud service content through the game model between the agents; for instance, Xiao et al introduced game theory to formulate a cloud service scheduling game, in which participants are cloud customers who participate in the purchase of cloud services (Xiao et al, 2022). To obtain mutual trust and win-win cooperation between the users and the cloud service provider, Sun proposed a game model-based trust prediction (Sun, 2021).…”

Section: Cloud Manufacturing and Cloud Servicesmentioning

confidence: 99%

Joint optimization decision of service provider selection and CODP positioning based on mass customization in a cloud logistics environment

Wang

Hu²,

Wang³

2023

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PurposeBy introducing the mass customization service mode into the cloud logistics environment, this paper studies the joint optimization of service provider selection and customer order decoupling point (CODP) positioning based on the mass customization service mode to provide customers with more diversified and personalized service content with lower total logistics service cost.Design/methodology/approachThis paper addresses the general process of service composition optimization based on the mass customization mode in a cloud logistics service environment and constructs a joint decision model for service provider selection and CODP positioning. In the model, the two objective functions of minimum service cost and most satisfactory delivery time are considered, and the Pareto optimal solution of the model is obtained via the NSGA-II algorithm. Then, a numerical case is used to verify the superiority of the service composition scheme based on the mass customization mode over the general scheme and to verify the significant impact of the scale effect coefficient on the optimal CODP location.Findings(1) Under the cloud logistics mode, the implementation of the logistics service mode based on mass customization can not only reduce the total cost of logistics services by means of the scale effect of massive orders on the cloud platform but also make more efficient use of a large number of logistics service providers gathered on the cloud platform to provide customers with more customized and diversified service content. (2) The scale effect coefficient directly affects the total cost of logistics services and significantly affects the location of the CODP. Therefore, before implementing the mass customization logistics service mode, the most reasonable clustering of orders on the cloud logistics platform is very important for the follow-up service combination.Originality/valueThe originality of this paper includes two aspects. One is to introduce the mass customization mode in the cloud logistics service environment for the first time and summarize the operation process of implementing the mass customization mode in the cloud logistics environment. Second, in order to solve the joint decision optimization model of provider selection and CODP positioning, this paper designs a method for solving a mixed-integer nonlinear programming model using a multi-layer coding genetic algorithm.

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“…The datasharing process using blockchain is one of the main recommendations because this technology provides an excellent security mechanism [25]. Every transaction carried out in the blockchain is recorded and verified automatically by the network [26,27]. In blockchain, every transaction is protected by powerful encryption technology, so data will be complicated to manipulate and steal by unauthorized parties [28].…”

Section: Introductionmentioning

confidence: 99%

Blockchain as a Learning Tool: Analyzing Transaction Speeds at Various Gas Limits in Computer Assembly Simulations

2024

IJIES

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The study explores an Ethereum blockchain-based data-sharing system for a computer assembly simulation game, emphasizing the relationship between gas limits and transaction speeds. The research integrates smart contracts for secure data storage of scores and player profiles. A significant challenge identified was the complexity of blockchain's variable transaction speeds for the average user. The research investigated how different gas limits affected transaction times, with experiments conducted across three networks. Results show that a gas limit of 200,000 to 300,000 resulted in transaction speeds of approximately 30 seconds. Increasing the gas limit to 400,000 to 500,000 reduced transaction times to 15-30 seconds, while a limit of 600,000 to 700,000 led to speeds below 15 seconds. These findings suggest a direct correlation between higher gas limits and quicker transaction validations. The research concludes that investing in higher gas can significantly reduce transaction times, presenting a trade-off between cost and speed in blockchain data-sharing for educational simulation media.

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A Bayesian game-enhanced auction model for federated cloud services using blockchain

Cited by 12 publications

References 18 publications

Integration of Blockchain and Auction Models: A Survey, Some Applications, and Challenges

Integration of Blockchain and Auction Models: A Survey, Some Applications, and Challenges

Joint optimization decision of service provider selection and CODP positioning based on mass customization in a cloud logistics environment

Blockchain as a Learning Tool: Analyzing Transaction Speeds at Various Gas Limits in Computer Assembly Simulations

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