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Alexander, I was able to create a simulation of one Source (a machine) producing Clients (app triggers) that then are according to the transfer rates set in a Decide node are changed to specific Client types (application types). A simplified version of the model: I need to add more Sources (machines) to my simulation that will have different transfer rate settings in the Decide node: Adding them manually as in this model above is certainly possible, but this does not scale well: Copy/paste/adjust method itself is cumbersome, hence only a low number of Sources of clients could be managed this way, Is there a way to somehow multiply the first Source + Decide and parametirezed them from a table? |
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Hi Tamas, if I understand your question correctly, you are looking for a way to simplify the source-decide-assign parts of the model? If your source stations do not have too complicated inter-arrival time definitions, you can try multi-source stations. Multi-source: A multi-source is a station which just combines multiple source records. The edit dialog shows a table where records can be added. Each record corresponds to a source station. So, you can create your App1, App2 and App3 arrivals at a single station. But if you are using your source stations to map some complex arrival processes (for example number per interval etc.) and you do not want to break this down to direct arrivals for the three client types, then your current approach is the simplest solution. Parametirezed copy: Big automated model changes: Templates: If you have any specific idea how to realize a parameterized complex copy in a general useable way, just tell me and I will try to add it to the feature wish list for the next versions. Greetings, |
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Hi Tamas,
if I understand your question correctly, you are looking for a way to simplify the source-decide-assign parts of the model? If your source stations do not have too complicated inter-arrival time definitions, you can try multi-source stations.
Multi-source:
At the moment, the clients arrive at the source station due to the inter-arrival time distribution, are then split into three lanes and have new client types there. If you are using the exponential distribution for the inter-arrival times (e.g. the arrivals are independent), then you have a Poisson process. Joining and splitting Poisson processes results in Poisson processes again. This means if you have an average inter-arriv…