Uses of Package
org.jppf.client.balancer
Packages that use org.jppf.client.balancer
Package
Description
Support for the new load-balancing of local versus remote execution on the client side.
Support for job queuing in the JPPF client.
Support for connection pool events,
connection status notifications,
job lifecycle events
and job queue events in the JPPF client.
-
Classes in org.jppf.client.balancer used by org.jppf.clientClassDescriptionInstances of this class group tasks from the same client together, so they are sent to the same node, avoiding unnecessary transport overhead.
The goal is to provide a performance enhancement through an adaptive bundling of tasks originating from the same client. -
Classes in org.jppf.client.balancer used by org.jppf.client.balancerClassDescriptionContext associated with a remote channel serving state and tasks submission.Abstract class that support job state management.Context associated with a channel serving state and tasks submission.Instances of this class group tasks from the same client together, so they are sent to the same node, avoiding unnecessary transport overhead.
The goal is to provide a performance enhancement through an adaptive bundling of tasks originating from the same client. -
Classes in org.jppf.client.balancer used by org.jppf.client.balancer.queueClassDescriptionContext associated with a channel serving state and tasks submission.Instances of this class group tasks from the same client together, so they are sent to the same node, avoiding unnecessary transport overhead.
The goal is to provide a performance enhancement through an adaptive bundling of tasks originating from the same client.This task provides asynchronous management of tasks submitted through the resource adapter. -
Classes in org.jppf.client.balancer used by org.jppf.client.eventClassDescriptionInstances of this class group tasks from the same client together, so they are sent to the same node, avoiding unnecessary transport overhead.
The goal is to provide a performance enhancement through an adaptive bundling of tasks originating from the same client.