基于DAG的工作流可靠性调度的数据集

基于阿里巴巴2018年发布的聚类数据，我们得到了用于实验调度的五个工作流。数据集主要包括五个excel文件，分别为workflow1_124、workflow2_118.csv、workflow3_118.csv、workflow4_105.csv、workflow5_127.csv。五个工作流的任务量分别具有124、118、118、105和127个任务。出于阿里保密原因，跟踪中的部分信息被混淆。因此，我们只知道这些工作流的结构，而不知道具体的业务逻辑。梳理得到的五条工作流共5个csv文件，大小28K。

Based on the clustering data released by Alibaba in 2018, we obtained five workflows for experimental scheduling. The dataset primarily consists of five Excel files, namely workflow1_124, workflow2_118.csv, workflow3_118.csv, workflow4_105.csv, and workflow5_127.csv. The counts of tasks for these five workflows are 124, 118, 118, 105, and 127 respectively. Due to Alibaba's confidentiality requirements, some tracked information has been obfuscated. As a result, we can only acquire the structural details of these workflows but are unaware of their specific business logic. The curated five workflows are stored as 5 CSV files with a total size of 28K.