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Fig. 17 Varanus and other monitoring architectures, monitoring latency during different elastic models.
This is the oldest of the commonly employed monitoring architectures and tightly couples components.
Of particular note is the behaviour of several monitoring architectures at the 1000 VM point.
In this experiment, we repeat the previous experiment this time comparing Varanus against other monitoring architectures.
Again, we repeat experiment 1 this time with our own implementations of common monitoring architectures.
Again, Varanus due to its peer to peer, resource aware design consumes more resources than the other monitoring architectures.
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This architecture is shown in Figure 4. Figure 4 The two tier monitoring architecture.
The n-tier architecture is illustrated in Figure 5. Figure 5 The n-tier monitoring architecture.
The decentralised architecture is shown in Figure 6. Figure 6 The decentralised monitoring architecture.
Open image in new window Fig. 1 Sliding window distributed monitoring architecture.
We also develop a framework that combines a distributed data stream monitoring architecture with a sliding window model.
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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