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Memory management is a process of observing the Server behavior and tuning the JVM hotspot parameters so that the Fiorano Peer Server is be able to perform at its highest throughput with the lowest risk of running into Memory related problems. This is not an optional step to just improve performance; memory tuning and management has have to be done at the server to avoid a class of serious problems that could occur because of improper configurations of the Virtual Machine (VM) on which the Server is running. Problems of this nature are very hard to reproduce and can create a lot of confusion with regards to the server behavior.
For example, if one of the "Stop the world garbage collection" calls stops or pauses the Peer VM for more than the time the Enterprise Server waits for a response to an action command, the request times out and there will be an error thrown in Fiorano Studio. If the Primary Peer VM is paused for an interval greater than the ping interval, the backup HA Server might think the primary server is down which can lead to problems.
Tuning the memory is also very important for achieving throughput goals. A badly tuned server may spend almost all of its time doing garbage collection sparing only a few CPU cycles for the server execution.
The following sections describe the factors considered when the Peer Server VM is tuned.
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