Abstract: A method, apparatus and computer program product for remotely diagnosing grid-based computing systems includes establishing an event framework defining an arrangement of event information, receiving a diagnostic event record from a resource within the grid-based computing system, the diagnostic event record containing event data concerning an event that has occurred within the resource in the grid, and diagnostic telemetry information concerning operation of the resource up to the occurrence of the event. The diagnostic event record is applied to the event framework to identify at least one resource causing the occurrence of the event in the grid-based computing system. Specific identities of resources impacted by the event are presented to the user via a graphical user interface.

Abstract: Disclosed herein is the creation and utilization of automated diagnostic agents that are used by service engineers to diagnose faults, errors and other events or conditions within a grid-based computing system, and provide a derived list of suspect root causes for the events. Related computerized processes and network architectures and systems supporting such agents are also disclosed. The automated diagnostic agents utilize software driven rules engines that operate on facts or data, such as telemetry and event information and data in particular, according to a set of rules. The rules engine utilize a neural network analysis environment to predict in accordance with the rules, facts and data found in the grid-based system to make probabilistic determinations about the grid. Particular memory allocations, diagnostic process and subprocess interactions, and rule constructs are disclosed.

Abstract: Disclosed herein is the creation and utilization of autonomic agents that may be utilized on demand by service engineers to remotely diagnose and address faults, errors and other conditions within a grid-based computing system, and related computerized processes and network architectures and systems supporting such agents. The autonomic diagnostic agents can comprise software driven rules engines that operate on facts or data, such as telemetry and event information and data in particular, according to a set of rules. The autonomic diagnostic agents execute in accordance with the rules based on the facts and data found in the grid-based system, and then make a determination about the grid. The operations of a particular agent varies depending upon the status and configuration of the particular grid-based system being diagnosed as dictated by the database of rules. Particular memory allocations, diagnostic process and subprocess interactions, and rule constructs are disclosed.