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diff --git a/google/api_core/timeout.py b/google/api_core/timeout.py
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+# Copyright 2017 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Decorators for applying timeout arguments to functions.
+
+These decorators are used to wrap API methods to apply either a constant
+or exponential timeout argument.
+
+For example, imagine an API method that can take a while to return results,
+such as one that might block until a resource is ready:
+
+.. code-block:: python
+
+    def is_thing_ready(timeout=None):
+        response = requests.get('https://example.com/is_thing_ready')
+        response.raise_for_status()
+        return response.json()
+
+This module allows a function like this to be wrapped so that timeouts are
+automatically determined, for example:
+
+.. code-block:: python
+
+    timeout_ = timeout.ExponentialTimeout()
+    is_thing_ready_with_timeout = timeout_(is_thing_ready)
+
+    for n in range(10):
+        try:
+            is_thing_ready_with_timeout({'example': 'data'})
+        except:
+            pass
+
+In this example the first call to ``is_thing_ready`` will have a relatively
+small timeout (like 1 second). If the resource is available and the request
+completes quickly, the loop exits. But, if the resource isn't yet available
+and the request times out, it'll be retried - this time with a larger timeout.
+
+In the broader context these decorators are typically combined with
+:mod:`google.api_core.retry` to implement API methods with a signature that
+matches ``api_method(request, timeout=None, retry=None)``.
+"""
+
+from __future__ import unicode_literals
+
+import datetime
+import functools
+
+from google.api_core import datetime_helpers
+
+_DEFAULT_INITIAL_TIMEOUT = 5.0  # seconds
+_DEFAULT_MAXIMUM_TIMEOUT = 30.0  # seconds
+_DEFAULT_TIMEOUT_MULTIPLIER = 2.0
+# If specified, must be in seconds. If none, deadline is not used in the
+# timeout calculation.
+_DEFAULT_DEADLINE = None
+
+
+class ConstantTimeout(object):
+    """A decorator that adds a constant timeout argument.
+
+    This is effectively equivalent to
+    ``functools.partial(func, timeout=timeout)``.
+
+    Args:
+        timeout (Optional[float]): the timeout (in seconds) to applied to the
+            wrapped function. If `None`, the target function is expected to
+            never timeout.
+    """
+
+    def __init__(self, timeout=None):
+        self._timeout = timeout
+
+    def __call__(self, func):
+        """Apply the timeout decorator.
+
+        Args:
+            func (Callable): The function to apply the timeout argument to.
+                This function must accept a timeout keyword argument.
+
+        Returns:
+            Callable: The wrapped function.
+        """
+
+        @functools.wraps(func)
+        def func_with_timeout(*args, **kwargs):
+            """Wrapped function that adds timeout."""
+            kwargs["timeout"] = self._timeout
+            return func(*args, **kwargs)
+
+        return func_with_timeout
+
+    def __str__(self):
+        return "<ConstantTimeout timeout={:.1f}>".format(self._timeout)
+
+
+def _exponential_timeout_generator(initial, maximum, multiplier, deadline):
+    """A generator that yields exponential timeout values.
+
+    Args:
+        initial (float): The initial timeout.
+        maximum (float): The maximum timeout.
+        multiplier (float): The multiplier applied to the timeout.
+        deadline (float): The overall deadline across all invocations.
+
+    Yields:
+        float: A timeout value.
+    """
+    if deadline is not None:
+        deadline_datetime = datetime_helpers.utcnow() + datetime.timedelta(
+            seconds=deadline
+        )
+    else:
+        deadline_datetime = datetime.datetime.max
+
+    timeout = initial
+    while True:
+        now = datetime_helpers.utcnow()
+        yield min(
+            # The calculated timeout based on invocations.
+            timeout,
+            # The set maximum timeout.
+            maximum,
+            # The remaining time before the deadline is reached.
+            float((deadline_datetime - now).seconds),
+        )
+        timeout = timeout * multiplier
+
+
+class ExponentialTimeout(object):
+    """A decorator that adds an exponentially increasing timeout argument.
+
+    This is useful if a function is called multiple times. Each time the
+    function is called this decorator will calculate a new timeout parameter
+    based on the the number of times the function has been called.
+
+    For example
+
+    .. code-block:: python
+
+    Args:
+        initial (float): The initial timeout to pass.
+        maximum (float): The maximum timeout for any one call.
+        multiplier (float): The multiplier applied to the timeout for each
+            invocation.
+        deadline (Optional[float]): The overall deadline across all
+            invocations. This is used to prevent a very large calculated
+            timeout from pushing the overall execution time over the deadline.
+            This is especially useful in conjuction with
+            :mod:`google.api_core.retry`. If ``None``, the timeouts will not
+            be adjusted to accomodate an overall deadline.
+    """
+
+    def __init__(
+        self,
+        initial=_DEFAULT_INITIAL_TIMEOUT,
+        maximum=_DEFAULT_MAXIMUM_TIMEOUT,
+        multiplier=_DEFAULT_TIMEOUT_MULTIPLIER,
+        deadline=_DEFAULT_DEADLINE,
+    ):
+        self._initial = initial
+        self._maximum = maximum
+        self._multiplier = multiplier
+        self._deadline = deadline
+
+    def with_deadline(self, deadline):
+        """Return a copy of this teimout with the given deadline.
+
+        Args:
+            deadline (float): The overall deadline across all invocations.
+
+        Returns:
+            ExponentialTimeout: A new instance with the given deadline.
+        """
+        return ExponentialTimeout(
+            initial=self._initial,
+            maximum=self._maximum,
+            multiplier=self._multiplier,
+            deadline=deadline,
+        )
+
+    def __call__(self, func):
+        """Apply the timeout decorator.
+
+        Args:
+            func (Callable): The function to apply the timeout argument to.
+                This function must accept a timeout keyword argument.
+
+        Returns:
+            Callable: The wrapped function.
+        """
+        timeouts = _exponential_timeout_generator(
+            self._initial, self._maximum, self._multiplier, self._deadline
+        )
+
+        @functools.wraps(func)
+        def func_with_timeout(*args, **kwargs):
+            """Wrapped function that adds timeout."""
+            kwargs["timeout"] = next(timeouts)
+            return func(*args, **kwargs)
+
+        return func_with_timeout
+
+    def __str__(self):
+        return (
+            "<ExponentialTimeout initial={:.1f}, maximum={:.1f}, "
+            "multiplier={:.1f}, deadline={:.1f}>".format(
+                self._initial, self._maximum, self._multiplier, self._deadline
+            )
+        )