Uses of Class
org.jppf.load.balancer.AbstractBundler

Packages that use AbstractBundler

Package	Description
org.jppf.load.balancer	Classes supporting the load-balancing of tasks distribution to the servers and nodes.
org.jppf.load.balancer.impl	This package contains the implementations of all the JPPF built-in load-balancing algorithms.

Uses of AbstractBundler in org.jppf.load.balancer

Subclasses of AbstractBundler in org.jppf.load.balancer

Modifier and Type	Class	Description
class	AbstractAdaptiveBundler<T extends LoadBalancingProfile>

Uses of AbstractBundler in org.jppf.load.balancer.impl

Subclasses of AbstractBundler in org.jppf.load.balancer.impl

Modifier and Type	Class	Description
class	AutoTunedBundler	This class implements a self tuned bundle size algorithm.
class	AutotunedDelegatingBundler	Instances of this bundler delegate their operations to a singleton instance of a AutoTunedBundler.
class	FixedSizeBundler	This class provide a used defined bundle size jppf.load.balancing.profile.
class	NodeThreadsBundler	This implementation of a load-balancing algorithm illustrates the use of the ChannelAwareness APIs, by sending to each node at most m * n tasks, where n is the number of processing threads in the node, and m is a user-defined parameter which defaults to one.
class	ProportionalBundler	This bundler implementation computes bundle sizes proportional to the mean execution time for each node to the power of n, where n is an integer value specified in the configuration file as "proportionality factor". The scope of this bundler is all nodes, which means that it computes the size for all nodes. The mean execution time is computed as a moving average over a number of tasks, specified in the bundling algorithm profile configuration as "minSamplesToAnalyse" This algorithm is well suited for relatively small networks (a few dozen nodes at most).
class	RL2Bundler	Bundler based on a reinforcement learning algorithm.