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Actors are automatically removed from the registry when they are terminated, or you can explicitly remove entries with DistributedPubSubMediator.Remove .

An example of a destination actor:

Destination actors can be started on several nodes in the cluster, and all will receive messages sent to the path (without address information).

A simple actor that sends to the path:

It can send messages to the path from anywhere in the cluster:

It is also possible to broadcast messages to the actors that have been registered with Put . Send DistributedPubSubMediator.SendToAll message to the local mediator and the wrapped message will then be delivered to all recipients with a matching path. Actors with the same path, without address information, can be registered on different nodes. On each node there can only be one such actor, since the path is unique within one local actor system.

Typical usage of this mode is to broadcast messages to all replicas with the same path, e.g. 3 actors on different nodes that all perform the same actions, for redundancy. You can also optionally specify a property ( allButSelf ) deciding if the message should be sent to a matching path on the self node or not.

In the example above the mediator is started and accessed with the akka.cluster.pubsub.DistributedPubSub extension. That is convenient and perfectly fine in most cases, but it can be good to know that it is possible to start the mediator actor as an ordinary actor and you can have several different mediators at the same time to be able to divide a large number of actors/topics to different mediators. For example you might want to use different cluster roles for different mediators.

The DistributedPubSub extension can be configured with the following properties:

It is recommended to load the extension when the actor system is started by defining it in akka.extensions configuration property. Otherwise it will be activated when first used and then it takes a while for it to be populated.

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of Akka, message delivery guarantee in distributed pub sub modes is at-most-once delivery . In other words, messages can be lost over the wire.

at-most-once delivery

If you are looking for at-least-once delivery guarantee, we recommend Kafka Akka Streams integration .

Cluster Singleton
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Akka is Open Source and available under the Apache 2 License.

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The second stage of the Template model involves taking the V1-like representation of the image and comparing it to a category template to generate the predicted response. Specifically, the response is computed as

(2)

where R E S P is the predicted response, S is the 3D matrix with the V1-like representation of the image, T is the category template, S ¯ is the average of the elements in S , | | + indicates positive half-wave rectification, and a , b , and c are free parameters (three free parameters).

There are three basic steps in asymmetrical single sleeve mini dress Metallic PatBo 4LLA7r
. The first step is a filtering operation, accomplished by computing the dot product between the stimulus and the template ( S T ). Intuitively, this operation quantifies the similarity between the stimulus and the template. The second step is thesubtraction of average stimulus energy ( b S ¯ ) with a free parameter controlling the strength of the subtractive normalization. This subtraction can be interpreted as penalizing non-specific energy in the stimulus, thereby inducing preference for stimulus energy that conforms to the category template. (An alternative interpretation is that the subtraction provides flexibility with respect to the overall mean of the template.) To ease interpretation and ensure that negative responses are not obtained, the result of the subtraction is positively rectified ( | | + ). The third step is division by average stimulus energy (/ ( c + S ¯ )) with a free parameter controlling the strength of the divisive normalization. This division penalizes non-specific energy in the stimulus, similar to subtractive normalization, but induces a different response geometry ( Zetzsche et al., 1999 ). In summary, Equation 2 computes a dot product between the stimulus and the template that is normalized subtractively and divisively by the average stimulus energy.

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