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Our first algorithm can tolerate a churn of up to εn per time step, sends only polylogarithmic number of bits per node per time step, and works under an adversary that is oblivious to the algorithm's random choices.
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Our experiments demonstrate significant rate savings (e.g., over 30%, 5 nodes, and 4 bits per node) when our novel bin-merging algorithms are used.
Our experiments show rate savings (e.g., over 5 nodes, and bits per node) when our novel bin-merging algorithms are used.
Therefore, in Figure 4, we show the probability of accurate consensus as a function of number of transmitted bits per node.
It is shown that the graph can be encoded with as little as 4 bits per node.
For a human genome graph, the self-information of | N|≈2.4·10 nodes is log 2 (4 k | N | ) ≈ 6. 8 GB for k = 27, i.e. ≈24 bits per node.
For the human genome example above and k = 27, the size of the structure is 3.7 GB, i.e. 13.2 bits per node.
Pricing for Docker Datacenter starts at $150 per node per month.
It is shown in [1] that the per node throughput in an ad hoc network with n nodes under a random placement is (Theta (W/sqrt {nlog n})) bits per second, where W is the total bandwidth of the network.
The network throughput in this paper is measured in either bits-hops per second per Hertz per node or bits-meters per second per Hertz per node.
The data rate are in units of bits per OFDM symbol, or equivalently bits per second per Hertz (bps/Hz).
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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