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Robust Quantum Based Low-power Switching Technique to improve System Performance

机译:鲁棒的基于量子的低功耗开关技术,可提高系统性能

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Round Robin (RR) is a pre-emptive algorithm used in multiprogrammed, conventional systems to schedule all the processes which are present in ready queue for execution. It has some advantages over other algorithms i.e., it gives a chance to all process to utilize processor for equal time interval. But this technique increases average turnaround time, average waiting time and if quantum value is very less, then CPU time is wasted in switching between processes and increases overheads. If it is high, the algorithm just works like FCFS and cannot be used in time sharing systems. The algorithm performance depends on quantum value. Turnaround time and waiting time are the criteria of the system which should be maintained as less as possible. Standard RR (SRR) algorithm does not posses logic in fixing quantum value. In our paper we propose Low-power Switching (LS) algorithm which reduces context switching and also reduces average waiting time and average turnaround time. So throughput of system will be raised. Experimental analysis shows the feasibility of the proposed algorithm which gives better turnaround time, waiting time and context switching compared with SRR technique and some related works. Pseudo code has been generated to prove the work.
机译:循环(RR)是一种抢先算法,用于多程序的常规系统中,以调度准备就绪队列中存在的所有进程以供执行。与其他算法相比,它具有一些优势,即,它为所有进程提供了在相等的时间间隔内利用处理器的机会。但是,这种技术会增加平均周转时间,平均等待时间,并且如果量子值非常小,那么将浪费CPU时间来进行进程之间的切换并增加开销。如果该值很高,则该算法就像FCFS一样工作,不能在分时系统中使用。算法性能取决于量子值。周转时间和等待时间是系统的标准,应尽可能少地维护。标准RR(SRR)算法在确定量子值时不具备逻辑。在我们的论文中,我们提出了低功耗切换(LS)算法,该算法减少了上下文切换,还减少了平均等待时间和平均周转时间。因此将提高系统的吞吐量。实验分析表明,与SRR技术和相关工作相比,该算法具有更好的周转时间,等待时间和上下文切换能力。伪代码已生成以证明工作。

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