基于边缘计算的区块链资源分配的合约激励设计

IF 6.7 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2024-09-13 DOI:10.1109/TNSE.2024.3457888

Ziqing Yu;Zheng Chang;Li Wang;Geyong Min

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引用次数: 0

摘要

为了促进区块链的广泛应用，移动边缘计算（MEC）作为一种潜在的解决方案应运而生，它可以在计算卸载方面提供计算资源。在区块链中，池式挖矿可以将少量计算资源组合在一起运行，这有助于拥有少量资源的矿工更高效地挖掘区块。因此，支持 MEC 的区块链最近受到了广泛关注。然而，如何鼓励各方参与并在 MEC 支持的区块链中高效地进行资源分配，目前仍处于探索阶段。本文研究了 MEC 区块链网络中的资源分配问题，并设计了一种基于合约的新型激励机制，以激励 MEC 服务提供商（SP）为区块链矿工提供计算服务。数值结果表明，所提出的机制可以提高矿工和 SP 的收益。此外，我们还根据实验结果分析了矿工和SP数量变化对网络性能的影响，旨在为构建高效的资源交易网络提供一些建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Contract-Based Incentive Design for Resource Allocation in Edge Computing-Based Blockchain

To boost the wide applications of the blockchain, Mobile edge computing (MEC) emerges as potential solution that can provide computing resources in terms of computation offloading. In blockchain, pool mining allows to combine a small amount of computing resources to operate together, which helps the miners with small number of resources mine blocks more efficiently. Therefore, a MEC-enabled blockchain has recently received significant research interests. However, how to encourage the involvements of different parties and operate resource allocation in the MEC-enabled blockchain in an efficient manner are still under-investigation. In this paper, we study the problem of resource allocation in a MEC-enabled blockchain network, and design a novel contract-based incentive mechanism to motivate the MEC service providers (SPs) to provide computing services to blockchain miners. Numerical results demonstrate that the proposed mechanism can improve the payoffs of miners and SPs. Besides, we also analyzed the impact of changes in the number of miners and SPs on network performance based on experimental results, aiming to provide some suggestions to construct efficient resources trading networks.

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.