多媒体数据库引擎多任务并行控制方法仿真  

Research on-Line Monitoring Method of Noise Pollution in Robot Master-Slave Control system

作　　者：王艳[1] WANG Yan(Foreign Trade&Business College Of Chongqing Normal University,Chongqing 401520,China)

机构地区：[1]重庆师范大学涉外商贸学院,重庆401520

出　　处：《计算机仿真》2021年第4期147-150,394,共5页Computer Simulation

摘　　要：针对传统的多媒体数据库引擎存在控制延迟、无法实时完成相应任务处理等问题,提出一种多媒体数据库引擎多任务并行控制方法。通过分析多媒体数据库中存储、查询、管理以及操作技术,制定使用串行程序内结构化单入口方式,将其分为结构化与非结构化两种多任务并行控制机制。考虑到负载均衡问题,利用SSA算法对多任务进行估算合并,合并后分配至处理器上,同时建立相应的反馈机制,按顺序分配任务,重复此操作,最终完成多任务并行控制。通过仿真证明,所提方法大幅度降低了控制延迟,实时处理任务能力较高,可广泛应用在现实生活中。Traditional multimedia database engine has control delay, so it cannot complete the corresponding task processing in real time. In this article, a multitasking parallel control method of multimedia database engine was proposed. Based on the analysis of storage, query, management and operation technology in multimedia database, the structural single entrance mode was formulated in serial program, including structured and unstructured multitasking parallel control mechanisms. Considering the load balancing problem, SSA algorithm was used to estimate and merge multiple tasks which were allocated to the processor after the merging. Meanwhile, corresponding feedback mechanisms were established and the tasks are assigned in order. After the operation was repeated, the multi-task parallel was completed. Simulation results show that the proposed method greatly reduces the control delay. In addition, the real-time processing task capability of the proposed method is higher, so it can be widely used in the real life.

关 键 词：多媒体 数据库引擎 多任务 并行控制 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]