protected AbstractFuture() {}

  // Gets and Timed Gets
  //
  // * Be responsive to interruption
  // * Don't create Waiter nodes if you aren't going to park, this helps reduce contention on the
  //   waiters field.
  // * Future completion is defined by when #value becomes non-null/non SetFuture
  // * Future completion can be observed if the waiters field contains a TOMBSTONE

  // Timed Get

   * of reads may not be immediately reflected on the algorithm's data structures. These structures
   * are guarded by a lock and operations are applied in batches to avoid lock contention. The
   * penalty of applying the batches is spread across threads so that the amortized cost is slightly
   * higher than performing just the operation without enforcing the capacity constraint.
   *

   * of reads may not be immediately reflected on the algorithm's data structures. These structures
   * are guarded by a lock and operations are applied in batches to avoid lock contention. The
   * penalty of applying the batches is spread across threads so that the amortized cost is slightly
   * higher than performing just the operation without enforcing the capacity constraint.
   *

    * cAdvisor: Fix brtfs filesystem discovery
    * cAdvisor: Fix race condition with AllDockerContainers
    * cAdvisor: Don't watch .mount cgroups
    * cAdvisor: Reduce lock contention during list containers
* Promote ScheduleDaemonSetPods by default scheduler to beta ([#67899](https://github.com/kubernetes/kubernetes/pull/67899), [@ravisantoshgudimetla](https://github.com/ravisantoshgudimetla))

* Add a flag allowing contention profiling of the API server ([#36756](https://github.com/kubernetes/kubernetes/pull/36756), [@gmarek](https://github.com/gmarek))

* Fix comment and optimize code ([#38084](https://github.com/kubernetes/kubernetes/pull/38084), [@tanshanshan](https://github.com/tanshanshan))
* Add flag to enable contention profiling in scheduler. ([#37357](https://github.com/kubernetes/kubernetes/pull/37357), [@gmarek](https://github.com/gmarek))

- Changed docs for `--contention-profiling` flag to reflect it performed block profiling ([#114490](https://github.com/kubernetes/kubernetes/pull/114490), [@MadhavJivrajani](https://github.com/MadhavJivrajani))

  // PreStop is called immediately before a container is terminated due to an
  // API request or management event such as liveness/startup probe failure,
  // preemption, resource contention, etc. The handler is not called if the
  // container crashes or exits. The Pod's termination grace period countdown begins before the
  // PreStop hook is executed. Regardless of the outcome of the handler, the

As an alpha feature, Kubernetes v1.22 can use the cgroups v2 API to control memory allocation and isolation. This feature is designed to improve workload and node availability when there is contention for memory resources.

### API changes and improvements for ephemeral containers

        `tf.data.Dataset.enumerate`.
    *   Promoting `tf.data.experimental.unbatch` to core as
        `tf.data.Dataset.unbatch`.
    *   Adds option for introducing slack in the pipeline to reduce CPU
        contention, via `tf.data.Options().experimental_slack = True`
    *   Added experimental support for parallel batching to `batch()` and
        `padded_batch()`. This functionality can be enabled through
        `tf.data.Options()`.