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After having served a request ambulances are supposed to return to their home base.
After having served a request the vehicle needs to be relocated to its next waiting location.
Hence after having served a request the vehicle needs to be relocated (i.e. its next waiting site has to be chosen).
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The modeller can specify both computational and network delay, and assign deadlines for serving a request.
A medical IoT device verifies the SAT prior to serving a request, and thus, ensures protected access.
After serving a request, the PU returns back borrowed channels to the owner users.
The Availability property means that the data should be available to serve a request at the moment it is needed.
where r pay is the maximum fee from serving a request of an end user, t use is the number of I λ that the cloud service provider uses to complete T j. t min is the average time required to finish T j, which is proportional to the size of T j and the delay tolerant level.
Furthermore the duration of time during which ambulances are unavailable due to serving a request are highly stochastic.
Only vehicles currently being idle (either at a waiting location, or just becoming idle after serving a request) can be assigned to requests.
According to a highly naï ve strategy one could relocate the ambulance to the closest feasible waiting location once it has finished serving a request.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com