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Optimizing Blockchains Structures Based on Entropy and TOPSIS Model

机译:基于熵和TOPSIS模型优化区块链结构

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In this study, a new and applicable model is proposed which represents the opportunities of implementing blockchains into IoT framework in the sensor data acquisition. We aim to propose a simple perspective of blockchain in IoT which is flexible with high throughput in sensor networks. This method is based on probabilities that use the combination of the Entropy and TOPSIS model and the blockchain parameter configuration used in the proposed model in this study includes: Parameters, Block, Epoch Time, Consensus Protocol, Throughput Queuing, Network Topology and Containerization. We selected Hyperledger Fabric as our blockchain solution to deploy across our network with the use of Docker Swarm. Our framework leverages the containerization of Fabric so that the network can operate between the edge devices and the cloud in a single, private system. This model contains some areas in security, such as privacy policy and delay versus the value of the task to be processed.
机译:在这项研究中,提出了一种新的和适用的模型,其代表了在传感器数据采集中实现了IOT框架的区块链接的机会。我们的目标是提出一个简单的IOT中间区块的视角,这是灵活的传感器网络中的高吞吐量。该方法基于使用熵和Topsis模型的组合的概率以及本研究中所提出的模型中使用的区块链参数配置包括:参数,块,时代时间,共识协议,吞吐量排队,网络拓扑和容器化。我们选择过度遍及的结构作为我们的区块链解决方案,通过使用Docker Swarm来部署我们的网络。我们的框架利用织物的集装箱化,使网络可以在单个私有系统中的边缘设备和云之间运行。此模型包含安全的某些区域,例如隐私策略和延迟与要处理的任务的值。

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