{"title":"基于边缘计算的区块链资源分配的合约激励设计","authors":"Ziqing Yu;Zheng Chang;Li Wang;Geyong Min","doi":"10.1109/TNSE.2024.3457888","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"11 6","pages":"6143-6156"},"PeriodicalIF":6.7000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Contract-Based Incentive Design for Resource Allocation in Edge Computing-Based Blockchain\",\"authors\":\"Ziqing Yu;Zheng Chang;Li Wang;Geyong Min\",\"doi\":\"10.1109/TNSE.2024.3457888\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":54229,\"journal\":{\"name\":\"IEEE Transactions on Network Science and Engineering\",\"volume\":\"11 6\",\"pages\":\"6143-6156\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2024-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Network Science and Engineering\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10679719/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Network Science and Engineering","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10679719/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
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.
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.