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In the case that there is no available GPU in the GPU pool, the allocation request is inserted into the waiting queue of the ManagerListener, and the response is blocked until a GPU become available by being deallocated from other guest VMs.
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Then all newly known requests are inserted into every solution in the pool.
If a solution is compatible with the current incumbent solution, newly available requests are inserted into it (line 9).
To cope with the dynamic nature of the problem, new requests are inserted in the current incumbent and best so far solution in steps 6 and 7 similar to dynamic VNS (line 4 in Algorithm 2).
Let Δ (i, r, s ) denote the difference in objective function value if request i is inserted at its best position into route r of solution s.
In q-LRU, upon arrival of a request, a new content item is inserted into the cache with probability q.
The regret insertion heuristics work as follows: in each iteration the unserved request that is associated with the largest regret value is inserted at its best insertion position.
Using the greedy insertion heuristic, in each iteration, the unserved request that deteriorates the objective function value the least is inserted at its best insertion position.
This header is inserted in the SIP register request and its corresponding 200-OK answer.
If the request cannot wait, then it checks if the new request can be inserted before any accepted request in any already initiated VM – using InsertBefor Strategy.
Duplicate requests are removed in a greedy way, i.e. we check each request at a time and in case it exists more than once, we keep the one that is inserted best and remove all others.
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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