When calculating a load score, Adaptive Server considers five system-defined metrics and, optionally, one user-supplied metric.
User connections – the capacity of an instance to accept a new connection, based on resource availability.
CPU utilization – the capacity of an instance to accept additional work.
Run-queue length – the number of runnable tasks on a system. Run-queue length measures the processing backlog, and is a good indicator of relative response time.
I/O load – outstanding asynchronous I/Os.
Engine deficit – the difference in the number of online engines among instances in the cluster.
Engine deficit is measurable only when instances in
the cluster have unequal numbers of engines. In this scenario, engine
deficit adds a metric for maximum relative capacity to the load
score.
User metric – a customer-supplied metric specific to the user’s environment. This metric is optional. See “Creating a user metric.”
