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Step 2: Data chunk assignment.
Constraint (i) ensures the data chunk assignment as a bipartite matching.
In this paper, we model data chunk assignment problem as a multiple knapsack problem [26] where we try to achieve the maximal delivery possibility of all data chunks.
A chunk assignment was considered consistent, if it was to the same taxon as the assignment of the entire contig, and inconsistent otherwise.
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Fig. 4 A demonstration of data chunk assignments.
As the standard of truth for each contig, we determined the taxon minimizing the inconsistency between all corresponding chunk assignments (Gregor et al., 2014; unpublished data) for each method independently.
An optimization for the data chunk selection and assignment is proposed.
We are the first to consider the multiple different data chunks forwarding optimization in the broadcast manner, an algorithm solving the bipartite matching with communication and storage capacity for data chunk, and relay vehicle assignment is proposed.
The constraints are related to the specifications of the network and offered services under consideration, namely, power limitations, per-service rate limits, and exclusive chunk (frequency/time resource unit) assignment.
With the proposed approach, the assignment of chunks in a tagged AP is adjusted dynamically depending on the location of an active user in the neighboring cell.
If each data chunk has only one possible assignment, it is simply a knapsack problem.
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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