Detecting cloud provisioning errors using an annotated process model
Xiwei Xu, Ingo M. Weber, Len Bass, Liming Zhu, Hiroshi Wada, Fei Teng · 2013
In this paper, we demonstrate the feasibility of annotating a process model with assertions to detect errors in cloud provisioning in near real time. Our proposed workflow is: a) construct a process model of the desired provisioning activities using log data, b) use the process model to determine appropriate annotation triggers and annotate the process model with assertions, c) use the process model to monitor the deployment logs as they are generated, d) trigger the assertion checking based on process activities and log entries, and e) check the assertions to determine errors.