3. Description of the used methods.

3. Description of the used methods.

Our coursework should be done in two ways:

1) using StateFlow Simulink Matlab subsystem;

2) using SimEvents Simulink Matlab subsystem.

SimEvents

SimEvents provides a discrete-event simulation engine and component library for analyzing event-driven system models and optimizing performance characteristics such as latency, throughput, and packet loss. Queues, servers, switches, and other predefined blocks enable you to model routing, processing delays, and prioritization for scheduling and communication.

With SimEvents we can study the effects of task timing and resource usage on the performance of distributed control systems, software and hardware architectures, and communication networks. We can also conduct operational research for decisions related to forecasting, capacity planning, and supply-chain management.

SimEvents provides blocks that enable you to create, process, store, and move entities and their resources in a system. We can model both simple and complex networks of queues and servers. By connecting gate and switching blocks, we can establish paths on which entities travel in response to events. These paths can include delays and selective switching criteria. Many parameters within SimEvents can be programmatically determined to model probabilistic variations in the system. We can also build our own domain-specific blocks by using a StateFlow Discrete-Event Chart. Further, we can use Simulink capabilities, such as masking subsystems and creating libraries, to build up SimEvents subsystems into component blocks that can be shared and reused by others.

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