This class implements the basis of a profile based on simulated annealing jppf.load.balancing.profile.
This class implements a self tuned bundle size algorithm.
Instances of this bundler delegate their operations to a singleton instance of a
This class provide a used defined bundle size jppf.load.balancing.profile.
Profile for the fixed bundle size load-balancing algorithm.
This implementation of a load-balancing algorithm illustrates the use of the
Profile for the "nodethreads" load-balancing algorithm.
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).
Parameters profile for a proportional bundler.
Bundler based on a reinforcement learning algorithm.
Parameters profile for the "rl2" algorithm.
Found in: jppf-common.jar
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