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Extra info for Cisco IOS(TM) Software Quality of Service Solutions

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D/supervisor start The supervisord service will load the new configurations and start the Storm daemons. Wait a moment or two for the Storm services to start and then verify the Storm pseudo-cluster is up and running by visiting the following URL in a web browser (replace localhost with the host name or IP address of the actual machine): http://localhost:8080 This will bring up the Storm UI graphical interface. It should indicate that the cluster is up with one supervisor node running with four available worker slots and no topologies are running (we'll deploy a topology to the cluster later).

If an unanchored tuple fails downstream, it will not cause a replay of the original root tuple. fail() method, the spout that emitted the original tuple, will be notified, allowing it to re-emit the tuple, as you'll see shortly. Reliable word count To further illustrate reliability, let's begin by enhancing the SentenceSpout class to make it support guaranteed delivery. It will need to keep track of all tuples emitted and assign each one a unique ID. We'll use a HashMap object to store the tuples that are pending.

Let's start by increasing the number of workers and executors assigned to run our topology. Adding workers to a topology Assigning additional workers is an easy way to add computational power to a topology, and Storm provides the means to do so through its API as well as pure configuration. Whichever method we choose, our component spouts and bolts do not have to change, and can be reused as is. In the previous version of the word count topology, we introduced the Config object that gets passed to the submitTopology() method at deployment time but left it largely unused.

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Cisco IOS(TM) Software Quality of Service Solutions

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