[Improvement][Master] Add master explicit overload control

[pegasas]

Purpose of the pull request

resolve: #16032

Brief change log

Now master/worker are all based on cpu/memory control in protection. see

dolphinscheduler/dolphinscheduler-meter/src/main/java/org/apache/dolphinscheduler/meter/metrics/BaseServerLoadProtection.java

Line 38 in 5463d02

public boolean isOverload(SystemMetrics systemMetrics) {

When deployed in k8s, it will get cpu/memory from pod node instead of pod JVM.
Add a explicit overload control like worker.

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This pull request is code cleanup without any test coverage.

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This pull request is already covered by existing tests, such as (please describe tests).

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If your pull request contain incompatible change, you should also add it to docs/docs/en/guide/upgrede/incompatible.md

[ruanwenjun]

We shouldn't add control here, once a workflow is be loaded means it has get all resource.

[pegasas]

We shouldn't add control here, once a workflow is be loaded means it has get all resource.

dolphinscheduler/dolphinscheduler-worker/src/main/java/org/apache/dolphinscheduler/server/worker/runner/WorkerTaskExecutorThreadPool.java

Lines 55 to 66 in 5463d02

	if (isOverload()) {
	log.warn("WorkerTaskExecutorThreadPool is overload, cannot submit new WorkerTaskExecutor");
	WorkerServerMetrics.incWorkerSubmitQueueIsFullCount();
	return false;
	}
	WorkerTaskExecutorHolder.put(workerTaskExecutor);
	threadPoolExecutor.execute(workerTaskExecutor);
	return true;
	}
	}
	public boolean isOverload() {

I saw worker control workload like this.

[pegasas]

aligned with worker like https://github.com/apache/dolphinscheduler/pull/16027/files