With the creation of a mobile edge computing environment in which IoT technologies are converged on cloud services, the importance of high-capacity data processing technologies is increasing. In this paper, we propose a block chain–based convergence data management technique to efficiently handle different kinds of data processed in mobile edge computing environment. The proposed technique minimized data loss by connecting information from specific IoT devices to multiple hash boxes and adding electronic signatures to the first and last information. In addition, the similarity of IoT data is applied stochastically to respond flexibly to changes in the system. Since the proposed technique links IoT data with different probabilities, it has distributed and deployed IoT data of n bits according to certain rules to reduce the load that can occur on the server. As a result of performance evaluation, the proposed technique has improved the conversion performance assessment of average transcoding propit because block password hash increases depending on AP density and scope when managing blockchain-based IoT data. In addition, the time to generate IoT data was improved because the cumulative use of transactions processed through similarity of blockchain-based IoT data was managed in a group of certain sizes to link the blocks consistently.

随着将物联网技术融合到云服务上的移动边缘计算环境的创建，大容量数据处理技术的重要性日益提高。在本文中，我们提出了一种基于区块链的融合数据管理技术，以有效处理在移动边缘计算环境中处理的各种数据。通过将信息从特定的IoT设备连接到多个散列框，并在第一个和最后一个信息中添加电子签名，所提出的技术将数据丢失最小化。此外，物联网数据的相似性是随机应用的，可以灵活地响应系统中的更改。由于提出的技术联系与不同的概率物联网数据，它分布和部署的物联网数据ñ根据某些规则设置位，以减少可能在服务器上发生的负载。作为性能评估的结果，由于在管理基于区块链的IoT数据时，块密码哈希值会根据AP密度和范围而增加，因此所提出的技术改进了对平均转码性能的转换性能评估。此外，由于通过基于一定大小的组来管理通过基于区块链的IoT数据的相似性处理的交易的累积使用，从而一致地链接了各个区块，从而缩短了生成IoT数据的时间。