Service Composition and Scheduling in Cloud-Based Simulation

Cloud-based simulation, as a new simulation mode under the support of cloud computing, big data, internet of things, etc., has attracted wide attention recently. A cloud-based simulation system is actually a cyber-physical system. In the cloud environment, simulation models or simulation resource can be encapsulated into simulation services. The issue of service composition and scheduling is an important concern to cloud-based simulation. Under the assumption that the steps of tasks being executed are certain, most of the work is purely dedicated to studying different scheduling schemes based on some specific priorities. However, the number and types of resource services in a practical cloud-based simulation are numerous. These services can constitute a service network and they have different granularities. These services have different granularities, which will lead to the number of composition steps is indeterminate. This chapter will give a review of the literature on related research. Then a service network-based method to implement service composition and scheduling in a simulation environment is proposed. In addition, a dynamic Data-Driven Simulation-based dynamic service scheduling method is proposed.