- Fixes an issue calculating total CPU usage reported for Windows nodes ([#122999](https://github.com/kubernetes/kubernetes/pull/122999), [@marosset](https://github.com/marosset)) [SIG Node and Windows]

feature](https://github.com/nolancon/website/blob/f4200307260ea3234540ef13ed80de325e1a7267/content/en/docs/tasks/administer-cluster/topology-manager.md) enables NUMA alignment of CPU and devices (such as SR-IOV VFs) that will allow your workload to run in an environment optimized for low-latency. Prior to the introduction of the Topology Manager, the CPU and Device Manager would make resource allocation decisions independent of each other. This could result in undesirable allocations on multi-socket systems, causing...

		for {
			runDataScanner(ctx, objAPI)
			duration := time.Duration(r.Float64() * float64(scannerCycle.Load()))
			if duration < time.Second {
				// Make sure to sleep at least a second to avoid high CPU ticks.
				duration = time.Second
			}
			time.Sleep(duration)
		}
	}()
}

func getCycleScanMode(currentCycle, bitrotStartCycle uint64, bitrotStartTime time.Time) madmin.HealScanMode {

이 시나리오에서, (당신을 포함한) 각각의 청소부들은 프로세서가 될 것이고, 각자의 역할을 수행합니다.

실행 시간의 대부분이 대기가 아닌 실제 작업에 소요되고, 컴퓨터에서 작업은 <abbr title="Central Processing Unit">CPU</abbr>에서 이루어지므로, 이러한 문제를 "CPU에 묶였"다고 합니다.

---

CPU에 묶인 연산에 관한 흔한 예시는 복잡한 수학 처리를 필요로 하는 경우입니다.

예를 들어:

* **오디오** 또는 **이미지** 처리.

* Free up CPU and memory requested but unused by Metrics Server Pod Nanny. ([#57252](https://github.com/kubernetes/kubernetes/pull/57252), [@kawych](https://github.com/kawych))

- Fixes an issue calculating total CPU usage reported for Windows nodes ([#122999](https://github.com/kubernetes/kubernetes/pull/122999), [@marosset](https://github.com/marosset)) [SIG Node and Windows]

		if nErr.Err != nil {
			peersLogOnceIf(logger.SetReqInfo(ctx, reqInfo), nErr.Err, nErr.Host.String())
		}
	}
}

// GetCPUs - Get all CPU information.
func (sys *NotificationSys) GetCPUs(ctx context.Context) []madmin.CPUs {
	reply := make([]madmin.CPUs, len(sys.peerClients))

	g := errgroup.WithNErrs(len(sys.peerClients))

	if err != nil {
		return nil, grid.NewRemoteErr(err)
	}
	info := getLocalServerProperty(globalEndpoints, &r, metrics)
	return madminServerProperties.NewJSONWith(&info), nil
}

// GetCPUsHandler - returns CPU info.
func (s *peerRESTServer) GetCPUsHandler(_ *grid.MSS) (*grid.JSON[madmin.CPUs], *grid.RemoteErr) {
	info := madmin.GetCPUs(context.Background(), globalLocalNodeName)
	return madminCPUs.NewJSONWith(&info), nil
}

		return []byte{}
	}

	// Past a certain chunk size it is counterproductive to use
	// larger chunks as the source of the write, as when the source
	// is too large we are basically just thrashing the CPU D-cache.
	// So if the result length is larger than an empirically-found
	// limit (8KB), we stop growing the source string once the limit
	// is reached and keep reusing the same source string - that

- Bumped Dashboard version to v1.10.0 ([#68450](https://github.com/kubernetes/kubernetes/pull/68450), [@jeefy](https://github.com/jeefy))
- Added env variables to control CPU requests of kube-controller-manager and kube-scheduler. ([#68823](https://github.com/kubernetes/kubernetes/pull/68823), [@loburm](https://github.com/loburm))