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The cluster component has been designed to construct a virtual cluster of virtual machines.
Instances of a cluster component scenario contain one ore more so-called scenario parts.
First of all the control component performs validity and integrity checks of parameters supplied to instantiate a cluster component instance.
where denotes the cluster (component), is the number of clusters, and denotes the prior probability of cluster.
Finally, an application is able to access the system by use of the top level control component that constructs and steers instances of the cluster component.
We show how different algorithmic variations can be used to best effect depending upon the cluster structure of the graph being labelled and consider how features of the GPU architectures and host CPUs can be combined to best effect into a cluster component labelling algorithm for use in high performance simulations.
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Identify all the cluster components in the graph.
The cluster components are Operating system, Communication software layer, Interprocess communication protocol (IPC), Oracle Clusterware, or cluster manager (CM).
The adjacent cluster components are merged if these identified sub-goal nodes corresponding to the clusters are the same.
We found in this study an insignificant small difference in the performance of the prediction models that automatically cluster components and the ones that use semantically clustered components instead.
To measure component interactions and cluster components into modules, taxonomy of modularity metrics is developed encompassing the entire life cycle of material fulfillment.
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