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Making Big Data Open in Edges: A Resource-Efficient Blockchain-Based Approach

机译:在边缘开放大数据:基于资源有效的基于区块的方法

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摘要

The emergence of edge computing has witnessed a fast-growing volume of data on edge devices belonging to different stakeholders which, however, cannot be shared among them due to the lack of the trust. By exploiting blockchain's non-repudiation and non-tampering properties that enable trust, we develop a blockchain-based big data sharing framework to support various applications across resource-limited edges. In particular, we devise a number of novel resource-efficient techniques for the framework: (1) the PoC (Proof-of-Collaboration) based consensus mechanism with low computation complexity which is especially beneficial to the edge devices with low computation capacity, (2) the blockchain transaction filtering and offloading scheme that can significantly reduce the storage overhead, and (3) new types of blockchain transaction (i.e., Express Transaction) and block (i.e., Hollow Block) to enhance the communication efficiency. Extensive experiments are conducted and the results demonstrate the superior performance of our proposal.
机译:边缘计算的出现已经目睹了属于不同利益相关者的边缘设备的快速增长的数据量,但由于缺乏信任,不能在它们中共享。通过利用BloctChain的非拒绝和非篡改属性来实现信任,我们开发基于区块链的大数据共享框架,以支持资源限制边缘的各种应用程序。特别是,我们为框架设计了许多新颖的资源有效的技术:(1)基于PoC(合作验证)的共识机制,具有低计算复杂性,这对具有低计算能力的边缘设备特别有益,( 2)区块链事务过滤和卸载方案,可以显着降低存储开销,(3)新类型的区块链事务(即,快递事务)和块(即,中空块)以增强通信效率。进行了广泛的实验,结果表明了我们提案的卓越表现。

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  • 作者单位

    Nanjing Univ Posts & Telecommun Key Lab Broadband Wireless Commun & Sensor Networ Nanjing 210003 Jiangsu Peoples R China;

    Nanjing Univ Posts & Telecommun Jiangsu High Technol Res Key Lab Wireless Sensor Nanjing 210003 Jiangsu Peoples R China|Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai 200240 Peoples R China;

    Univ Aizu Sch Comp Sci & Engn Aizu Wakamatsu Fukushima 9658580 Japan;

    Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China;

    Chongqing Univ Posts & Telecommun Elect Informat & Networking Res Inst Chongqing 400065 Peoples R China;

    Hohai Univ Sch Comp & Infomat Nanjing 210046 Jiangsu Peoples R China;

    Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai 200000 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Big data; blockchain; collaborative edges; transaction offloading; consensus mechanism;

    机译:大数据;区块链;协作边缘;交易卸载;共识机制;

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