对等网络环境下多维数据处理方法

Methods for processing multidimensional data in a peer⁃to⁃peer network environment

在对等网络环境下,有效处理多维数据,很大程度取决于建立的空间索引,常见的方法有基于树结构、网络索引以及基于树结构和网络索引相结合的方法。然而,基于树结构的方法存在算法复杂、数据结构复杂或难以动态维护等问题,基于网格索引,虽然算法简单却难以保存空间多维数据的位置与方向特性。针对以上这些问题,一种基于DHT和距离的多维数据的处理方法——空间数据的索引被提出,适用于对等网络环境下的多维数据存储和查询。结果表明,这种方法改善了多维数据的访问速度,优化了系统性能。

In a peer‑to‑peer network environment,effective processing of multidimensional data largely depends on the established spatial index.Common methods include tree‑based structures,network indexing,and a combination of tree‑based structures and network indexing.However,tree‑based methods suffer from algorithm complexity,complex data structures,or difficulties in dynamic maintenance.Grid indexing,although simple in algorithm,struggles to preserve the position and directional characteristics of spatial multidimensional data.To address these issues,a method for processing multidimensional data based on DHT(Distributed Hash Table)and distance is proposed,which is suitable for storage and querying of multidimensional data in a peer‑to‑peer network environment.Results show that this method improves the access speed of multidimensional data and optimizes system performance.