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In a centralized solution, all nodes constantly transmit their 20 Hz samples to a central node where all processing is done.
In a centralized solution, the broker will have to know the internal details and mutual agreements between all the InPs to make an informed embedding.
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The solution provides an effective decentralized algorithm for deploying massively scalable services and it is suitable for all the situations in which a centralized solution is not feasible.
In contrast to a centralized solution, this makes it hard to ensure that for each content unit at least one copy remains in the system at all time.
In principle, this change should require a centralized solution.
Further, it can be seen that a decentralization solution is more complex in terms of application compared to a centralized solution.
This case is studied in [17] for continuous channel states and a centralized solution which maximizes the sum rate is found.
First, both the schemes proposed in [17,18] are distributed schemes, while RBEBPC is a centralized solution.
Clearly, a distributed implementation is favorable but in order to accurately quantify the tradeoffs involved, we also investigate a centralized solution.
Tang et al. [7] studied rate control with various fairness objectives in the context of multi-channel wireless mesh networks and proposed a centralized solution.
Therefore, in the following, we want to compare the algorithms of Section 3 with a centralized solution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com