The objective of the paper is to represent the real-time framework in multiprocessor environment task scheduling process by examining the novel algorithm advanced PSO. The advanced PSO algorithm has the metaphor as the basis to facilitate social interaction, which makes a search on space by making adjustments to the trajectories of individual vectors, referred to “particles” as they are considered as the points that move within the multidimensional search space. This algorithm will reduce the turn-around time, burst time and waiting time for multiprocessor task scheduling, when compared to existing algorithm like first come first served algorithm, shortest job first algorithm and round robin scheduling algorithm. This proposed algorithm is developed and making hardware for tank level water control for single input single output tank system and two input two output tank system. LABVIEW software is used to implement the real-time algorithm in hardware and software. The time taken for searching best position for particles will be executed and compare with all algorithms using bar chart will be given in result.

中文翻译：

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一种多处理器环境下实时框架的新算法

本文的目的是通过研究新颖的高级PSO算法来表示多处理器环境任务调度过程中的实时框架。先进的PSO算法以隐喻为基础来促进社交互动，它通过调整单个矢量的轨迹进行空间搜索，这些矢量被称为“粒子”，因为它们被视为在多维搜索空间内移动的点。与先来先服务算法，最短作业优先算法和轮询调度算法等现有算法相比，该算法将减少多处理器任务调度的周转时间，突发时间和等待时间。开发了该算法，为单输入单输出水箱系统和两输入两输出水箱系统的水箱水位控制硬件制作。LABVIEW软件用于在硬件和软件中实现实时算法。将执行搜索粒子最佳位置所花费的时间，并与所有使用条形图的算法进行比较。