System simulations are computer-based models used to predict how a system will perform under certain conditions. They have various uses, from testing computer hardware to preparing for natural disasters. System simulations create mathematical models of the simulated parts and determine the probability of action based on the interaction of various models. They model groups of interconnect actions and can simulate manufacturing, real-world events, and networked systems.
A system simulation is a computer-based model of how a specific system would perform under certain conditions. These simulations have a wide variety of uses, from preparing for a natural disaster to testing whether a piece of computer hardware is ready for use. Some form of system simulation is used in nearly every field of development, regardless of what is being developed. Using a system simulation is also a common practice in computer and network design.
In its broadest sense, a system simulation responds to a “what if?” request. When people need to know how a given group of people, a computer system, or a manufactured part will react in a given situation, they use a simulation. These simulations are usually accurate for the situation as long as all variables are considered.
A system simulation works by creating the simulated parts mathematically. First, create models for the different things being simulated. These models are constructs based on the data fed into the simulation; the more information entered into the system, the more accurate the model. These models cover everything in the simulation, both the object of interest and everything it will interact with. When the model runs, it determines the probability of action based on the interaction of the various models in the program.
What makes a system simulation different from a normal simulation is the scope. System simulations model groups of interconnect actions. This means that they model more than single interactions: they model a causal relationship between multiple interacting factors. This level of complexity allows system simulations to produce information about circumstances that are beyond the scope of a simpler program.
The complexity of a system simulation allows you to model many different kinds of things. One of the most basic uses is in manufacturing and development. It is possible to simulate the interaction of a small modification to an existing system such as a new piece of machinery or a car component. The simulation will determine if the addition is worth the labor required to manufacture or install the part.
Another common use of system simulation is modeling real-world events. Things like weather systems, animal migration, and even human reactions to certain events can be programmed into a simulation. These simulations are instrumental in preparing for natural or man-made disasters by testing people’s responses to various simulated situations.
The last common use for system simulations is in networked systems. These systems range from computer networks to plumbing or electrical systems. Before a mesh is assembled, a simulation can help designers find flaws or trouble spots in an initial design. By solving these problems in a simulation, people can save time and money in the real world.
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