大数据环境下舰船数据多信道并行调度方法分析

Analysis of multi-channel parallel scheduling method for ship data large data environment

传统舰船数据并行调度方法存在调度速度慢、识别准确率差等问题,为解决这一问题,对大数据环境下舰船数据多信道并行调度方法进行分析。分析过程中,确定数据多信道并行调度规则,以此为基础对数据多信道并行干扰波进行处理,将处理后数据机械能多信道并行调度输出,并对其调度方法进行优化,从而完成整体数据调度。实验数据表明,提出的多信道并行调度方法具有更可靠的调度速度以及并行识别准确率。

In order to solve the problem of slow scheduling speed and poor recognition accuracy of traditional parallel scheduling methods for ship data,the multi-channel parallel scheduling method for ship data in large data environment is analyzed.In the process of analysis,the data multi-channel parallel scheduling rules are determined.Based on these rules,the data multi-channel parallel interference waves are processed.The processed data mechanical energy multi-channel parallel scheduling output is processed,and the scheduling method is optimized to complete the overall data scheduling.The experimental data show that the proposed multi-channel parallel scheduling method has more reliable scheduling speed and parallel recognition accuracy.