Abstract: Techniques for parsing rule creation are provided. A technique for constructing one or more message parsing rules may comprise the following steps. First, message data representing past messages, for example, associated with a network, an application and/or a system being analyzed, is obtained. For example, this may involve reading the past or historical message data from messages logs or having a system point to the message data in existing data storage. Parsing rules are then generated by a process from one or more existing rule templates and/or based on user selection and classification of at least a portion of a message. For example, the user may choose a message part and demonstratively classify the part, for example, as a positive or negative example. The generated rules may then be stored for access by a rule-based parsing system such as a message adaptation system.

Abstract: A system and program product for generating throttling parameters for an information management (IT) system based on historical event log data. An embodiment of the system comprises: an identification system that examines the historical event log data and identifies throttling candidates, wherein each throttling candidate comprises an event type for redundant events that reoccur over at least one measured time period; and an analysis system that statistically analyzes event data associated with each throttling candidate and generates a set of throttling parameters for each throttling candidate based on the event data.

Abstract: A system and method for generating throttling parameters for an information management (IT) system based on historical event log data. The system comprises: an identification system that examines the historical event log data and identifies throttling candidates, wherein each throttling candidate comprises an event type for redundant events that reoccur over at least one measured time period; and an analysis system that statistically analyzes event data associated with each throttling candidate and generates a set of throttling parameters for each throttling candidate based on the event data.

Abstract: A system and program product for generating throttling parameters for an information management (IT) system based on historical event log data. An embodiment of the system comprises: an identification system that examines the historical event log data and identifies throttling candidates, wherein each throttling candidate comprises an event type for redundant events that reoccur over at least one measured time period; and an analysis system that statistically analyzes event data associated with each throttling candidate and generates a set of throttling parameters for each throttling candidate based on the event data.

Abstract: Techniques for parsing rule creation are provided. A technique for constructing one or more message parsing rules may comprise the following steps. First, message data representing past messages, for example, associated with a network, an application and/or a system being analyzed, is obtained. For example, this may involve reading the past or historical message data from messages logs or having a system point to the message data in existing data storage. Parsing rules are then generated by a process from one or more existing rule templates and/or based on user selection and classification of at least a portion of a message. For example, the user may choose a message part and demonstratively classify the part, for example, as a positive or negative example. The generated rules may then be stored for access by a rule-based parsing system such as a message adaptation system.

Abstract: A system and method for generating throttling parameters for an information management (IT) system based on historical event log data. The system comprises: an identification system that examines the historical event log data and identifies throttling candidates, wherein each throttling candidate comprises an event type for redundant events that reoccur over at least one measured time period; and an analysis system that statistically analyzes event data associated with each throttling candidate and generates a set of throttling parameters for each throttling candidate based on the event data.