论文标题
使用分布式系统中的边缘计算对相关源压缩的全面分析
A Comprehensive Analysis of Correlated Source Compression Using Edge Computing in Distributed Systems
论文作者
论文摘要
本文研究了与位于网络边缘的相关源无损压缩有关的理论。重要的是，禁止节点之间的通信。特别是，解释了一种结合相关源编码和矩阵分区的方法。然后，通过限制在两个不同的节点组上操作的方法，从而使该技术更加灵活。结果，这种新方法允许在压缩性能方面获得更多自由，从而在节点完整性验证中进行了权衡。具体而言，当使用带有4个节点的锤子（7,4）时，它提供了压缩节省的2-3倍。它还降低了在节点加入/离开网络时管理节点时的复杂性，同时保留了信息无限解码的范围。
This paper examines the theory pertaining to lossless compression of correlated sources located at the edge of a network. Importantly, communication between nodes is prohibited. In particular, a method that combines correlated source coding and matrix partitioning is explained. This technique is then made more flexible, by restricting the method to operate on two distinct groups of nodes. As a result, this new method allows for more freedom in compression performance, with consequent trade-off in node integrity validation. Specifically, it provides 2-3 times the compression savings when using a Hamming(7,4) with 4 nodes. It also decreases the complexity with regard to managing the nodes as they join/leave the network, while retaining the range within which the information can be losslessly decoded.
