According to p.1 "API changes require discussion, use cases, etc. Code comes later.", I'm going to start discussion about benefits of proposed changes. 

Now com.google.common.cache.CacheBuilder contains such methods as
`refreshAfterWrite(long duration, TimeUnit unit)`
`expireAfterWrite(long duration, TimeUnit unit)`
`expireAfterAccess(long duration, TimeUnit unit)`
Parameters of methods listed below are used to define durations in time.
However, in Java 8 new class,  [java.time.Duration](https://docs.oracle.com/javase/8/docs/api/java/time/Duration.html), was presented. It can be used to save info about time durations in exactly one object. That is easier and more transparent in some real-world scenarios. 

The idea is to add overloaded methods:
`refreshAfterWrite(Duration duration)
expireAfterWrite(Duration duration)
expireAfterAccess(Duration duration)`

Proposed changes provide possibilities to simplify code:
`expireAfterWrite(Duration.ofHours(3))
// instead of
expireAfterWrite(3, TimeUnit.HOURS)
`
It makes easier to declare constant durations too:

`public static final Duration EXPIRES_IN = Duration.ofHours(1);
// some code after statement
expireAfterWrite(EXPIRES_IN)
`
instead of
`public static final long DURATION_LENGTH = 1;
 public static final TimeUnit DURATION_TIME_UNIT = TimeUnit.HOURS;
 // some code after statement
 expireAfterWrite(DURATION_LENGTH, DURATION_TIME_UNIT)
`

Also, it allows to execute some arifmetic operations like addition or subtraction, that can simplify program logic if multiple (and dependant) durations in different methods and/or in different caches are used. Just something like this (simplified synthetic example):
`
Duration expiresAfterAccessIn = Duration.ofMinutes(30);
CacheBuilder.newBuilder()
                    .expireAfterAccess(expiresAfterAccessIn)
                    .expireAfterWrite(expiresAfterAccessIn.plusHours(1))
                    .build();
`

This improvements do not lead to changing min java sdk version and do not break existing API.
* value. Note that multiple threads can concurrently load values for distinct keys.
   *
   * <p>This method does not alter the state of this {@code CacheBuilder} instance, so it can be
   * invoked again to create multiple independent caches.
   *
   * @param loader the cache loader used to obtain new values
   * @return a cache having the requested features
   */
  public <K1 extends K, V1 extends V> LoadingCache<K1, V1> build(
      CacheLoader<? super K1, V1> loader) {
    checkWeightWithWeigher();
    return new LocalCache.LocalLoadingCache<>(this, loader);
  }
  /**
   * Builds a cache which does not automatically load values when keys are requested.
   *
   * <p>Consider {@link #build(CacheLoader)} instead, if it is feasible to implement a {@code
   * CacheLoader}.
   *
   * <p>This method does not alter the state of this {@code CacheBuilder} instance, so it can be
   * invoked again to create multiple independent caches.
   *
   * @return a cache having the requested features
   * @since 11.0
   */
  public <K1 extends K, V1 extends V> Cache<K1, V1> build() {
    checkWeightWithWeigher();
    checkNonLoadingCache();
    return new LocalCache.LocalManualCache<>(this);
  }