面向SWF日志事件流数据的可视分析系统
李玥1(
),杨波1(),芦旭熠1,2(),单桂华1,*()
),杨波1(),芦旭熠1,2(),单桂华1,*()
A Visual Analysis System for SWF Log Event Stream Data
LI Yue1(),YANG Bo1(),LU Xuyi1,2(),SHAN Guihua1,*()
),YANG Bo1(),LU Xuyi1,2(),SHAN Guihua1,*()
图8. iPSC日志数据中作业的整体分布概览。(a)为作业在24小时周期的分布,(b)为散点的队列属性分类结果,(c)为调整作业持续刻度轴后散点分布,(d)为每个用户作业提交执行事件流,(e)为队列中作业提交执行事件流。
Fig. 8. The overall distribution overview of jobs in the IPSC log data. (a) is the distribution of jobs over a 24-hour period, (b) is the queue attribute classification result of the scatter, (c) is the scatter distribution after adjusting the job duration scale axis, (d) is the execution event stream submitted for each user job, and (e) is the execution event stream submitted for the jobs in the queue.
