Abstract:
A system, method and computer-readable storage devices for enhancing the presentation of structured log files. A system configured according to this disclosure can track events of a computing entity. The computing entity can be a state machine, a virtual machine, a thread, a process, a software component, or a hardware component. The computing entity can be any device that generates or contributes to an event log. The events can be tracked from at least one of a structured log file and a stream of event data, for example. The system can identify event types for the events. The system can identify relationships between the events, and generate a sequence diagram of the events. The sequence diagram can include visual indications of the relationships based on the event types. The system can further select an icon for each event from an event-specific icon directory based on event type.
Abstract:
A system, method and computer-readable storage devices for enhancing the presentation of structured log files. A system configured according to this disclosure can track events of a computing entity. The computing entity can be a state machine, a virtual machine, a thread, a process, a software component, or a hardware component. The computing entity can be any device that generates or contributes to an event log. The events can be tracked from at least one of a structured log file and a stream of event data, for example. The system can identify event types for the events. The system can identify relationships between the events, and generate a sequence diagram of the events. The sequence diagram can include visual indications of the relationships based on the event types. The system can further select an icon for each event from an event-specific icon directory based on event type.
Abstract:
A data processing method includes receiving a stream of digital data with a plurality of objects and, in response to receiving an object, tokenizing the object to create a tokenized object, and storing the tokenized object in a token database. The method further includes comparing the tokenized object to a plurality of other tokenized objects stored in the token database, computing a pattern associated with the tokenized object, storing the pattern in a pattern database, and managing a size of the pattern database by identifying, a subset of patterns that are eligible for deletion from the pattern database based on an age of each pattern, ranking each pattern of the subset based on a quality and a popularity metric, identifying, based on the ranking and from the subset, a second pattern and deleting the second pattern from the pattern database to produce an updated database.