摘要:
A system and method for method for assessing configurations includes steps or acts of: receiving configuration data related to configuration items and problem data related to problem tickets; classifying the configuration data into configuration classes; computing a class probability of the configuration classes; associating each configuration class with the problem tickets related to said configuration class; computing a ticket probability distribution of the problem tickets based on number of incidents; evaluating problem ticket characteristics per configuration class to determine a coefficient of trouble value for each configuration class; ranking the configuration classes according to their coefficient of trouble; wherein a highest ranking has the least coefficient of trouble; determining potentially optimal configurations based on the rankings; and providing to a user migration paths corresponding to the potentially optimal configurations.
摘要:
A system and method for method for assessing configurations includes steps or acts of: receiving configuration data related to configuration items and problem data related to problem tickets; classifying the configuration data into configuration classes; computing a class probability of the configuration classes; associating each configuration class with the problem tickets related to said configuration class; computing a ticket probability distribution of the problem tickets based on number of incidents; evaluating problem ticket characteristics per configuration class to determine a coefficient of trouble value for each configuration class; ranking the configuration classes according to their coefficient of trouble; wherein a highest ranking has the least coefficient of trouble; determining potentially optimal configurations based on the rankings; and providing to a user migration paths corresponding to the potentially optimal configurations.
摘要:
Installation files are annotated, which annotations may trigger system snapshots to be taken at a plurality of points during the execution of the installation files and/or collected. During a test run, the generated snapshots are examined incrementally to determine whether the installation is success or failure at that point. Checkpoint snapshots are stored, and those indicating failure are recorded with description of the error and/or remediation that suggest how the errors may be resolved or fixed. During a production run, the annotated installation files may be executed and the checkpoint snapshots generated during the production run may be compared with those stored of the test run to incrementally identify and resolve potential problems in the production run.
摘要:
Installation files are annotated, which annotations may trigger system snapshots to be taken at a plurality of points during the execution of the installation files and/or collected. During a test run, the generated snapshots are examined incrementally to determine whether the installation is success or failure at that point. Checkpoint snapshots are stored, and those indicating failure are recorded with description of the error and/or remediation that suggest how the errors may be resolved or fixed. During a production run, the annotated installation files may be executed and the checkpoint snapshots generated during the production run may be compared with those stored of the test run to incrementally identify and resolve potential problems in the production run.
摘要:
Techniques are provided for automatically structuring free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, segmenting the free form heterogeneous data into one or more units, automatically labeling the one or more units based on one or more machine learning techniques, wherein each unit is associated with a label indicating an information type, and structuring the one or more labeled units in a format to facilitate one or more operations that use at least a portion of the labeled units, e.g., information technology (IT) operations.
摘要:
Techniques are provided for automatically structuring free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, segmenting the free form heterogeneous data into one or more units, automatically labeling the one or more units based on one or more machine learning techniques, wherein each unit is associated with a label indicating an information type, and structuring the one or more labeled units in a format to facilitate one or more operations that use at least a portion of the labeled units, e.g., information technology (IT) operations.
摘要:
Techniques are provided for automatically discovering one or more features in free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, wherein the data comprises one or more data items, applying a label to each data item, using the labeled data to build a language model, wherein a word distribution associated with each label can be derived from the model, and using the word distribution associated with each label to discover one or more features in the data, wherein discovering one or more features in the data facilitates one or more operations that use at least a portion of the labeled data.
摘要:
Techniques are provided for automatically structuring free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, segmenting the free form heterogeneous data into one or more units, automatically labeling the one or more units based on one or more machine learning techniques, wherein each unit is associated with a label indicating an information type, and structuring the one or more labeled units in a format to facilitate one or more operations that use at least a portion of the labeled units, e.g., information technology (IT) operations.
摘要:
Techniques are provided for automatically structuring free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, segmenting the free form heterogeneous data into one or more units, automatically labeling the one or more units based on one or more machine learning techniques, wherein each unit is associated with a label indicating an information type, and structuring the one or more labeled units in a format to facilitate one or more operations that use at least a portion of the labeled units, e.g., information technology (IT) operations.
摘要:
Techniques are provided for automatically discovering one or more features in free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, wherein the data comprises one or more data items, applying a label to each data item, using the labeled data to build a language model, wherein a word distribution associated with each label can be derived from the model, and using the word distribution associated with each label to discover one or more features in the data, wherein discovering one or more features in the data facilitates one or more operations that use at least a portion of the labeled data.