Service composition and scheduling in cloud-based simulation environment

Nowadays, modelling and simulation (M&S) has become an imperative step in every industrial domain. With the increase of simulation resources, tools and models, cloud simulation is proposed as a new simulation mode which targets to integrate distributed simulation resources and implement wider range of flexible simulation analysis. How to correctly incorporate multiple simulation services together to accomplish a multi-disciplinary simulation task and how to tackle multiple tasks requirements are two important concerns. Numerous services with different granularities in cloud simulation can constitute a complex service network. The service composition steps to complete a task in service network are indeterminate. Motivated by these factors, we propose a new service network-based method for service composition and scheduling. In this method, the number of composition steps is uncertain before to be executed. The work in this study can reflect the characteristic of uncertainty of composition paths in the cloud environment.