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The inherent complexity of content-based routing makes message loss detection and recovery, and network state recovery extremely complicated.
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Although message loss is very rare in switched data center networks (no message loss is detected in our testbed), the question of how to deal with message loss is always present.
The algorithm tolerates message loss.
We study variants of the α-synchronizer by Awerbuch (1985) within a distributed message passing system with probabilistic message loss.
To eliminate message loss during the migration process, a counter mechanism is employed.
The message loss ratio is defined for a receiving station as the number of dropped messages during a transmission.
The algorithm guarantees atomic consistency (linearizability) in all executions in the presence of arbitrary crash failures of the processing nodes, message delays, and message loss.
The message loss rate in this experiment should be caused by network traffic overhead, interferences, shading, and message collisions.
Note that if there is data loss, either the message that was lost is recovered by the underlying network layer or the application deals with that message loss.
If a node cannot handle such incoming network traffic and cause output message loss, the loss rate should be increased with the message rate.
In the first case, there is no message loss, while in the second case there might be message loss before GST.
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