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Priority-based joint EDF-RM scheduling algorithm for individual real-time task on distributed systems

机译:基于优先的基于联合EDF-RM调度算法,用于分布式系统的个别实时任务

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Multiple tasks arrive in the distributed systems that can be executed in either parallel or sequential manner. Before the execution, tasks are scheduled prioritywise with the help of scheduling algorithms to their respective processors. For task assignment, every scheduling algorithm follows different protocols like upper bound of CPU utilization, assigning priorities, etc. In this paper, author has worked on such scheduling algorithms. Previously, the author evaluated the performance of algorithms on the basis of transactions (group of tasks). In this paper, the author re-evaluates joint EDF–RM scheduling algorithm, where its performance is calculated on the execution of individual task basis. For comparative analysis, similar algorithms are considered, i.e., joint EDF–RMS, earliest deadline first (EDF) and rate monotonic scheduling (RMS). These mentioned algorithms are simulated and analyzed with the help of statistical analysis, and turnaround time of periodic tasks is evaluated. Additionally, migration distribution and CPU utilization on the basis of scheduling algorithms' upper bounds are also calculated.
机译:多个任务到达分布式系统,可以以并行或顺序方式执行。在执行之前,在调度算法到其各自的处理器的帮助下,任务是优先权。对于任务分配,每个调度算法都遵循CPU利用率的上限,分配优先级等的不同协议,在本文中,作者已经在此类调度算法上工作。以前,作者在基于事务(任务组)的基础上评估了算法的性能。在本文中,作者重新评估了联合EDF-RM调度算法,其中它的性能是在执行个别任务的基础上计算的。对于比较分析,认为类似的算法,即联合EDF-RMS,最早的截止日期第一(EDF)和速率单调调度(RMS)。在统计分析的帮助下,模拟和分析了这些算法,并评估了周期性任务的周转时间。另外,还计算了在调度算法的上限基础上的迁移分布和CPU利用率。

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