All Classes and Interfaces
Class
Description
Abstract debug utils.
Performs observation predictions for pipeline elements.
Extended multi-algorithm mass prediction with varying parameters.
The result of a multi-algorithm mass prediction.
Encapsulates the algorithm (profile) predictor.
Implements the algorithm (profile) predictor based on the Monitoring Layer (via synchronous event communication).
Support for creating on-demand pipelines for algorithm profiling.
Information describing a new profile pipeline.
The methods to operate the IVML model for obtaining IVML elements information.
RtVil Instantiator to bind a runtime mapping to
Configuration.Handles updates of the coordination model.
Bundle / Activator for this plug-in.
Configuration initialization utility functions.
Converts specific events into constraint violations.
Provides access to properties of the QM coordination layer.
Performs a sequential test of frozen state log files produced by the infrastructure.
Tests that the
ModelModifier can be executed before instantiating the platform.Debugs reasoning on the QM model in parallel.
Implements a reasoning runnble for reasoning in parallel.
Debugs creating profiling pipelines.
Supports obtaining hardware artifact URLs.
Provides access to the initialization mode.
Uses
IvmlElements and IObservables to identify temporary value mappings.Part of the iterator, stores which kind of observable/variable mapper shall be used.
A 2-tuple consisting of
IvmlElement and IObservable, which are used to generate unique
identifiers.Handles profiling lifecycle information.
This class should modify and prune the model and it's configuration before instantiation.
Connection to functionalities of the QM-IConf platform.
Statistical information of the QualiMaster (Meta-) Model.
Accesses names from the pipeline mapping.
Maps IVML names to observables.
A static mapping between implementing classes of observables and variables of the model.
Performs parameter predictions for pipeline elements.
Stores information of a pipeline, which is relevant for the
IvmlElementIdentifier.Denotes which kind of model element was mapped / shall be returned.
Helper functions on pipeline element level.
Some pipeline helper functions mapped into rt-VIL.
Visits a pipeline variable and gathers
PipelineContentsContainer.Performs optional variable mapping.
Some utility methods for algorithm predictions.
This modifier is used to freeze all relevant declarations inside the CFG projects of Qualimaster.
Gathers statistical information about the QualiMaster (Meta-) Model.
Defines global model constants to avoid the use of simple strings and inconsistencies
when the model changes.
Part of the
QMConfigStatisticsVisitor to collect static information of the QualiMaster (Meta-) Model.Maps the QM observables into names.
Implements a descriptor for the source and target VIL project locations.
QualiMasterConfigurationSaver used by the ModelModifier to save values generated by constraints.Specializes the default configuration saver.
Registers QM Java additions to EASy-Producer, in particular to rt-VIL.
Implements a class name comparator (for debugging).
A simple logging abstractor.
Access to the pipeline elements repository as far as needed from VIL.
Performs parameter value predictions.
Encapsulates the source volume predictor.
Implements the source volume predictor based on the Monitoring Layer (via synchronous event communication).
Provides access to sub-pipeline information.
An instantiator for accessing the components of manually implemented sub-topologies (mapped into at runtime).
An instantiator for accessing the expected sub-topology scaling of manually implemented sub-topologies.
A QualiMaster specific type analyzer for reflective descriptor building in rt-VIL.
Utility methods.
Some utility functions for IVML variables.
Weighting functions.
A prediction processor.
Implements a maximum prediction processor, i.e., collects the maximum values of the predictions.
Implements an update processor calculating the weighted predictions.
A simple selection of the "best" alternative via weighted values/predictions.