联合优化区块链支持的雾计算网络的能耗和网络延迟

Xiaoge Huang, Hongbo Yin, Cao Bin, Yongsheng Wang, Qianbin Chen, Zhang Jie
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引用次数: 0

摘要

随着各种资源有限的物联网(IoT)设备不断涌现,雾计算(Fog computing)被认为是一种能够满足日益增长的需求的解决方案。为了确保私人数据的安全,本文介绍了一种支持区块链的设备-雾-云三层异构网络。本文提出了一种声誉模型来更新雾节点(FN)的可信度,并以此从 FN 中选择区块链节点(BN)参与共识过程。根据应用于区块链系统的 Rivest-Shamir-Adleman (RSA)加密算法,FN 可以通过节点的公钥验证节点的身份,以避免恶意攻击。此外,为了降低共识算法的计算复杂度和网络开销,我们提出了动态卸载和资源分配(DORA)算法和基于声誉的民主拜占庭容错(R-DBFT)算法,以优化卸载决策,减少共识算法中的 BN 数量,同时确保网络安全。仿真结果表明,与以往文献中的相关算法相比,所提出的算法可以有效降低网络开销,并获得相当大的性能提升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint optimization of energy consumption and network latency in blockchain-enabled fog computing networks
Fog computing is considered as a solution to accommodate the emergence of booming requirements from a large variety of resource-limited Internet of Things (IoT) devices. To ensure the security of private data, in this paper, we introduce a blockchain-enabled three-layer device-fog-cloud heterogeneous network. A reputation model is proposed to update the credibility of the fog nodes (FN), which is used to select blockchain nodes (BN) from FNs to participate in the consensus process. According to the Rivest-Shamir-Adleman (RSA) encryption algorithm applied to the blockchain system, FNs could verify the identity of the node through its public key to avoid malicious attacks. Additionally, to reduce the computation complexity of the consensus algorithms and the network overhead, we propose a dynamic offloading and resource allocation (DORA) algorithm and a reputation-based democratic byzantine fault tolerant (R-DBFT) algorithm to optimize the offloading decisions and decrease the number of BNs in the consensus algorithm while ensuring the network security. Simulation results demonstrate that the proposed algorithm could efficiently reduce the network overhead, and obtain a considerable performance improvement compared to the related algorithms in the previous literature.
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