Network simulation is a virtual representation of a network used to identify problems in existing networks or before building new ones. It saves money by improving network reliability, reducing maintenance costs, and increasing productivity.
A network simulation is a virtual representation of a network. There are two common types of network simulation: one is used on existing networks and the other is used before a network is built. The goals of these simulations are to find problems in an existing network or locate unexpected interactions on one that has not yet been built. By identifying existing problems or preventing them in the first place, companies can improve network reliability and reduce maintenance costs.
Network simulation is a concept that originated with the first large-scale computer networks. Back then, people weren’t sure how big data systems would interact once they were fully utilized. These simulations were intended to help designers find the right hardware for the project. As time went on and networks got bigger, simulations were needed to find trouble spots before and after construction.
When used before a network is created, a network simulation is sometimes called a network emulator or traffic generator. These simulations use mathematical algorithms to map out how a network would function when used. Profile information for all network components in the company is entered into the system together with basic user data. The program then generates a fairly accurate account of how the network would perform when in use.
If the programs are used after the network is up and running, the information is even more accurate. The software works on the entire network, detecting all physical parts of the system and the user’s network usage. It takes this information and generates a street map-like output of network usage. This map shows all locations that are under or overloaded, and indicates bottlenecks and user usage patterns.
Network simulation software is all about saving money and finding inefficiencies. The software maps the network, identifying places where work needs to be done or where a redesign is needed. These inefficiencies can cause network slowdowns and crashes. Also, they tie up support staff who may be working on other things.
The way network simulations save money is twofold. By planning networks before they are built and periodically monitoring them thereafter, companies can save a lot of money. An efficient network increases productivity by empowering workers with the information they need, right when they need it. It also reduces the load on IT support staff. This frees them up for other tasks and reduces the number of them needed to efficiently maintain business systems.
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