Quota-constrained Job Submission Behavior at Commercial Supercomputer
Understanding user behavior is great helpful for assessing HPC system job scheduling,promoting allocation efficiency and improving user satisfaction.Current research on user behavior is mainly focused on think time(i.e.time between two consecutive jobs)of non-commercial supercomputer systems.In this paper,we present a methodology to characterize workloads of the commercial supercomputer.We use it to analyze the 2.7 million jobs of different users in various fields of Tianhe-1A from 2016.01 to 2017.12 and 0.89 million jobs of Sugon 5000A from 2015.09 to 2017.03.In order to identify the main factors affecting the users job submission behavior on commercial supercomputers,this paper analyzed the correlation between users job submission behavior and various factors such as job characteristics and quota constraint.The result shows that,on the commercial supercomputer,user s job submission behavior is not obviously affected by the previous jobs runtime and waiting time.It is affected by the number of processors the job uses,the previous jobs status and the size of the total resources that users can submit jobs.We also find that,there are three job submission peaks on each day.In the time window of 8 h,86%jobs of a same user have the same number of processors and nearly 40%of them have little difference in runtime.
Interval time Think time Quota constraint User behavior
Jinghua Feng Guangming Liu Zhiwei Zhang Tao Li Yuqi Li Fuxing Sun
College of Computer,National University of Defense Technology,Changsha,China;National Supercomputer National Supercomputer Center in Tianjin,Tianjin,China College of Computer and Control Engineering,Nankai University,Tianjin,China
国际会议
the 12th Conference on Advanced Computer Architecture?(ACA 2018)(2018年全国计算机体系结构学术年会)
辽宁营口
英文
219-231
2018-08-10（万方平台首次上网日期，不代表论文的发表时间）