A Science-Gateway Workload Archive to Study Pilot Jobs, User Activity, Bag of Tasks, Task Sub-steps, and Workflow Executions

摘要

Archives of distributed workloads acquired at the infrastructure level reputably lack information about users and application-level middleware. Science gateways provide consistent access points to the infrastructure, and therefore are an interesting information source to cope with this issue. In this paper, we describe a workload archive acquired at the science-gateway level, and we show its added value on several case studies related to user accounting, pilot jobs, fine-grained task analysis, bag of tasks, and workflows. Results show that science-gateway workload archives can detect workload wrapped in pilot jobs, improve user identification, give information on distributions of data transfer times, make bag-of-task detection accurate, and retrieve characteristics of workflow executions. Some limits are also identified.