复杂负载下数据缓冲区自适应调度方法仿真

传统数据缓冲区调度方法调度时间长、调度结果误差大且不能够完全应对复杂负载问题。因此提出了复杂负载下数据缓冲区自适应调度方法,通过构建模拟数据缓冲区来定义调整的方向,在缓冲数据中,利用操控行为和代替方法之间进行相互不变性推测,获取数据缓冲错失函数;通过引用能力制约条件,将时间分成一些零碎的小片段,利用数据缓冲错失,获取时间约束模型;引入时间约束模型,需要依据时间顺序对事件进行调顺序,结合根据模拟自适应算法所得到的数据,使用雷达资源约束条件能够精准快速地衡量各种数据波束所要求的指令,获取自适应调度模型,为某一个调度间隔选取出最完善的自适应调度方法。通过仿真结果表明:上述方法能够完全应对复杂负载情况的问题,且数据缓冲区自适应调度时间短、调度结果误差小。

Simulation of Adaptive Scheduling Method for Data Buffer under Complex Load

Traditionally, the data buffer scheduling method has long scheduling time, large error, so it is unable to fully deal with complex load. Therefore, an adaptive scheduling method of data buffer under complex load was proposed. The direction of adjustment was defined by constructing the simulated data buffer. In buffered data, the invariance between manipulation behavior and replacement method was deduced, so as to get the data buffer missing function. Based on the restriction of ability, the time was divided into some small fragments. The time constraint model was built by data buffer missing ratio. After introducing the time constraint model, it was necessary to adjust the sequence of events. Combined with the data calculated by adaptive algorithm, the radar resource constraints were used to accurately and quickly measure the instructions required by various data beams, and thus to build the adaptive scheduling mode. Finally, the most perfect adaptive scheduling method was selected for a scheduling interval. Simulation results show that the proposed method can completely solve the problem of complex load. Meanwhile, the adaptive scheduling time of data buffer is short and the error of scheduling result is small.