实时任务调度性能模拟测试数据集

实时任务调度性能模拟测试数据集为科研过程中自然生产，主要用于记录、评估调度方法实时性能表现。数据产生方法记录于项目支持的学术论文“Co‑scheduling aperiodic real‑time tasks with end‑to‑end firm and soft deadlines in two‑stage systems”中。生成、加工处理方式如下：首先，生成模拟任务；然后，利用调度方法模拟运行生成的任务，记录调度结果；最后，对结果汇总分析，生成实验结果图表。在实验过程中，最大程度杜绝了人为干扰的可能性，保证了结果的可信度，数据量2.46MB。This real-time task scheduling performance simulation test dataset was naturally generated during scientific research, and is primarily employed to record and assess the real-time performance of scheduling methodologies. The data generation methodology is documented in the academic paper "Co-scheduling aperiodic real-time tasks with end-to-end firm and soft deadlines in two-stage systems" supported by the associated research project. The generation and processing workflow is as follows: first, simulated tasks are generated; second, the generated tasks are executed via scheduling method simulations, with the scheduling results recorded; finally, the results are aggregated and analyzed to produce experimental result charts. During the experimental procedure, human interference was eliminated to the greatest extent feasible, ensuring the credibility of the results, and the total size of the dataset is 2.46 MB.

搜集汇总

背景与挑战

背景概述

该数据集是科研过程中自然产生的实时任务调度性能模拟测试数据，主要用于记录和评估调度方法的实时性能表现。数据通过模拟任务生成、调度运行和结果汇总分析等步骤产生，数据量为2.46MB，基于相关学术论文的方法生成。