* the life cycle methods.
 *
 * <h3>Usage Example</h3>
 *
 * <p>Here is a sketch of a service which crawls a website and uses the scheduling capabilities to
 * rate limit itself.
 *
 * {@snippet :
 * class CrawlingService extends AbstractScheduledService {
 *   private Set<Uri> visited;
 *   private Queue<Uri> toCrawl;

 * the life cycle methods.
 *
 * <h3>Usage Example</h3>
 *
 * <p>Here is a sketch of a service which crawls a website and uses the scheduling capabilities to
 * rate limit itself.
 *
 * {@snippet :
 * class CrawlingService extends AbstractScheduledService {
 *   private Set<Uri> visited;
 *   private Queue<Uri> toCrawl;

  //   similar purposes.
  // * We want to behave reasonably for timeouts of 0
  // * We are more responsive to completion than timeouts. This is because parkNanos depends on
  //   system scheduling and as such we could either miss our deadline, or unpark() could be delayed
  //   so that it looks like we timed out even though we didn't. For comparison FutureTask respects

- Fixed potential scheduler crash when scheduling with unsatisfied nodes in PodTopologySpread. ([#110984](https://github.com/kubernetes/kubernetes/pull/110984), [@kerthcet](https://github.com/kerthcet)) [SIG Scheduling]

  //   similar purposes.
  // * We want to behave reasonably for timeouts of 0
  // * We are more responsive to completion than timeouts. This is because parkNanos depends on
  //   system scheduling and as such we could either miss our deadline, or unpark() could be delayed
  //   so that it looks like we timed out even though we didn't. For comparison FutureTask respects

    - [SIG Cluster Lifecycle](#sig-cluster-lifecycle)
    - [SIG Instrumentation](#sig-instrumentation)
    - [SIG Network](#sig-network)
    - [SIG Node](#sig-node)
    - [SIG OpenStack](#sig-openstack)
    - [SIG Scheduling](#sig-scheduling)
    - [SIG Storage](#sig-storage)
    - [SIG Windows](#sig-windows)
  - [Known Issues](#known-issues)
  - [Before Upgrading](#before-upgrading)
      - [New Deprecations](#new-deprecations)

    - [SIG Multicluster](#sig-multicluster)
    - [SIG Network](#sig-network)
    - [SIG Node](#sig-node)
    - [SIG Openstack](#sig-openstack)
    - [SIG Scalability](#sig-scalability)
    - [SIG Scheduling](#sig-scheduling)
    - [SIG Service Catalog](#sig-service-catalog)
    - [SIG Storage](#sig-storage)
    - [SIG UI](#sig-ui)
    - [SIG VMWare](#sig-vmware)
    - [SIG Windows](#sig-windows)

[scalability validation report]: https://github.com/kubernetes/sig-release/blob/master/releases/release-1.8/scalability_validation_report.md

### SIG Scheduling

[SIG Scheduling][] is responsible for generic scheduler and scheduling components.

For the 1.8 release, SIG Scheduling extended the concept of cluster sharing by introducing

    *   Added file system resizing for the following volume plugins: GCE PD, Ceph RBD, AWS EBS, OpenStack Cinder
*   [alpha] Topology Aware Volume Scheduling
    *   Improved volume scheduling for Local PersistentVolumes, by allowing the scheduler to make PersistentVolume binding decisions while respecting the Pod's scheduling requirements.
    *   Dynamic provisioning is not supported with this feature yet.
*   [alpha] Containerized mount utilities

   * _last_ request, but it remembers the (expected) time of the _next_ request. This also enables
   * us to tell immediately (see tryAcquire(timeout)) whether a particular timeout is enough to get
   * us to the point of the next scheduling time, since we always maintain that. And what we mean by
   * "an unused RateLimiter" is also defined by that notion: when we observe that the