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Scale Up Load Average Workflow

Owned by Former user (Deleted)
Jun 02, 2014
1 min read

The workflow involved in scaling up Apache Stratos based on load average is illustrated in the diagram below:

The workflow involved in scaling up WSO2 Private PaaS based on load average is as follows:

  1. In the scale-up workflow based on the value of load average, the cartridge instance sends the load average count to Complex Event Processor (CEP) using the thrift protocol.
  2. CEP will aggregate the load average statistics continuously and will publish the summarized health statistics to the Message broker (MB). 
  3. The Auto-scaler (AS), which will be subscribed to the Summarized Health Stats topic on MB will obtain the values and using the Drools engine, and it will check the auto-scaling and deployment policies for the functionality required based on the count and the threshold values defined. 
  4. When it is required to scale up, AS will send the scale up and create instance information to the Cloud Controller (CC). 
  5. The CC creates the additional new instances accordingly and sends the details about the created instances to the IaaS.

Scale-up workflow based on the memory consumption values, will be the same as the above scale-up workflow based on the value of load average.

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