首页> 外文期刊>IEEE Wireless Communications >B-ReST: Blockchain-Enabled Resource Sharing and Transactions in Fog Computing
【24h】

B-ReST: Blockchain-Enabled Resource Sharing and Transactions in Fog Computing

机译:B-REST:雾化计算中支持区块的资源共享和事务

获取原文
获取原文并翻译 | 示例
           

摘要

Driven by the extensively emerging applications requiring big data processing, a series of heterogeneous network architectures have been proposed to meet user experience requirements. Among them, the concept of fog computing facilitates the effective integration and utilization of ubiquitous computing resources. In fog computing scenarios, willingness and service billing issues become significant to computing resource sharing and transactions. In this article, the recently developed blockchain technology characterized by successfully enabling consensus in an untrustworthy environment is introduced. Based on the blockchain technology, we propose a new architecture for resource sharing and transactions in fog computing networks, named Blockchain-Enabled Resource Sharing and Transactions in Fog Computing (B-ReST). The physical architecture, functional architecture, and workflow in B-ReST are defined. We also discuss the key technologies in B-ReST such as the smart contracts, the consensus mechanism and the requester and provider matching (RPM). The wireless characteristics of fog computing and blockchain technology are closely combined to make full and efficient use of ubiquitous computing resources. To prove the feasibility of the proposed architecture, the RPM problem is solved by a deep reinforcement learning (DRL) based method. Simulation results show the advantages of B-ReST to realize resource sharing and transactions, and the performance of B-ReST based on the DRL method has been enhanced. Challenges and future research directions are summarized as well.
机译:由需要大数据处理的广泛新兴应用程序驱动,已经提出了一系列异构网络架构以满足用户体验要求。其中,雾计算的概念有助于普遍存在的计算资源的有效集成和利用。在FOG计算场景中,意愿和服务结算问题对计算资源共享和交易变得重要意义。在本文中,介绍了最近开发的区块链技术,其特征在于在不值得信任的环境中成功地支持共识。基于区块链技术,我们为雾计算网络中的资源共享和事务提出了一种新的架构,名为CloctChain的资源共享和事务(B-REST)。定义了B-REST中的物理架构,功能架构和工作流程。我们还讨论了B休息的关键技术,如智能合同,共识机制和请求者和提供者匹配(RPM)。雾计算和区块科技的无线特性紧密结合起来,充分高效地利用普遍存在的计算资源。为了证明所提出的架构的可行性,基于深度加强学习(DRL)方法解决了RPM问题。仿真结果表明,B-act实现资源共享和交易的优点,并提高了基于DRL方法的B-RES的性能。挑战和未来的研究方向也总结了。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号