- Fix that prevents repeated fetching of PVC/PV objects by kubelet when processing of pod volumes fails. While this prevents hammering API server in these error scenarios, it means that some errors in processing volume(s) for a pod could now take up to 2-3 minutes before retry. ([#88141](https://github.com/kubernetes/kubernetes/pull/88141), [@tedyu](https://github.com/tedyu)) [SIG Node and...

Und da die meiste Ausführungszeit durch tatsächliche Arbeit (anstatt durch Warten) in Anspruch genommen wird und die Arbeit in einem Computer von einer <abbr title="Central Processing Unit - Zentrale Recheneinheit">CPU</abbr> erledigt wird, werden diese Probleme als „CPU-lastig“ („CPU bound“) bezeichnet.

---

                    getCanonicalPath(fileSystem.getPath(mavenHome)).toString());
        }
    }

    void cli(CliRequest cliRequest) throws Exception {
        //
        // Parsing errors can happen during the processing of the arguments and we prefer not having to check if
        // the logger is null and construct this so we can use an SLF4J logger everywhere.
        //
        slf4jLogger = new Slf4jStdoutLogger();

しかしこの場合、8 人の元レジ係/料理人/現清掃員を連れてきて、それぞれ (あなたも加えて) 家の別々のエリアを掃除できれば、**並列** に作業でき、より早く終えられます。

このシナリオでは、各清掃員 (あなたを含む) がプロセッサであり、それぞれが自分の役割を果たします。

そして実行時間の大半は (待ちではなく) 実作業が占め、コンピュータでの作業は <abbr title="Central Processing Unit - 中央処理装置">CPU</abbr> によって行われます。これらの問題は「CPU バウンド」と呼ばれます。

---

CPU バウンドな操作の一般的な例は、複雑な数値処理が必要なものです。

例えば:

* **オーディオ** や **画像処理**。

				writeErrorResponse(ctx, w, apiErr, r.URL)
				return
			}
			reader = &b
			actualSize = n
		}

		// we have found the File part of the request we are done processing multipart-form
		break
	}

	// check if have a file
	if reader == nil {
		apiErr := errorCodes.ToAPIErr(ErrMalformedPOSTRequest)

이 시나리오에서 (여러분을 포함한) 각 청소부는 프로세서가 되어, 맡은 일을 수행합니다.

그리고 실행 시간의 대부분이 기다림이 아니라 실제 작업에 쓰이고, 컴퓨터에서 작업은 <abbr title="Central Processing Unit - 중앙 처리 장치">CPU</abbr>가 수행하므로, 이런 문제를 "CPU bound"라고 부릅니다.

---

CPU bound 작업의 흔한 예시는 복잡한 수학 처리가 필요한 것들입니다.

예를 들어:

* **오디오** 또는 **이미지** 처리

- Improved PVC Protection Controller's scalability by batch-processing PVCs by namespace with lazy live pod listing. ([#125372](https://github.com/kubernetes/kubernetes/pull/125372), [@hungnguyen243](https://github.com/hungnguyen243)) [SIG Apps, Node, Storage and Testing]

 */
public abstract class AbstractLlmClient implements LlmClient {

    private static final Logger logger = LogManager.getLogger(AbstractLlmClient.class);

    /** Shared ObjectMapper instance for JSON processing. */
    protected static final ObjectMapper objectMapper = new ObjectMapper();

    /** Buffer size reserved when truncating context to fit within max chars limit. */

* Fixes a bug where dry-run is not honored for pod/eviction sub-resource. ([#76969](https://github.com/kubernetes/kubernetes/pull/76969), [@apelisse](https://github.com/apelisse))
* Fixes bug in DaemonSetController causing it to stop processing some DaemonSets for 5 minutes after node removal. ([#76060](https://github.com/kubernetes/kubernetes/pull/76060), [@krzysztof-jastrzebski](https://github.com/krzysztof-jastrzebski))

    accessible from workers. If the worker fails to read from the `work_dir`, it
    falls back to using RPC for dataset graph transfer.
*   Adds support for a new "distributed_epoch" processing mode. This processing
    mode distributes a dataset across all tf.data workers, instead of having
    each worker process the full dataset. See