Abstract: A method of compiling causal rules into continuations for use in root cause analysis of a system comprising a plurality of inter-related elements, comprising defining observable events occurring on system elements; defining at least one of a cause and a result of each of the events; defining causal rules, each rule describing a causal relationship between an event and one of its cause and its result; and compiling the causal relationships as continuations in a continuation passing style (CPS) for use in analyzing the root cause of subsequent observed events symptomatic of at least one problem on the system.

Abstract: An engine for performing root cause analysis on a system comprising a plurality of elements in a modeled domain, the engine comprising a module loader and parser for loading modules of computer code containing computer language statements modeling elements of the system, including one or more of model type definitions, conditions, causal rules, and continuations; and for parsing the computer language statements; a storage for storing the parsed computer language statements; a receiver for receiving conditions representing state changes of system elements, accessing the storage, and determining one or more parsed computer language statements to apply to the received conditions; a hypothesis generator for instantiating one or more hypotheses of potential causes of each received condition consistent with the received conditions and the parsed computer language statements; a blackboard for receiving the instantiated hypotheses, and determining a root cause of the received conditions based on the hypotheses consis

Abstract: A method of performing root cause analysis for use in a system comprising a plurality of inter-related elements, wherein at least some of the elements experience one or more abnormal conditions, comprising defining one or more conditions for more than one element symptomatic of abnormal operation of the element; defining one or more causal relationships between the conditions and results on one or more related elements; compiling the conditions and causal relationships of each element for which conditions and relationships have been defined, as at least one continuation in a continuation passing style (CPS); receiving one or more observed events symptomatic of abnormal operation of at least one element of the system; processing the received events using the conditions and the continuations; concluding at least one root cause of the received events consistent with the received events; and outputting the root cause.

Abstract: A network system and associated operating methods manage event storms. The network system comprises an event analysis and control engine that detects and manages events occurring on a network. The event analysis and control engine receives events from a plurality of agents, and analyzes the events according to policies specified in a policies templates database. The event analysis and control engine processes raw network packets directly with less than full packet parsing to generate a filtered stream of events based on the analysis. The event analysis and control engine propagates the filtered stream of events to a monitoring system.

Abstract: An extendable network management system and method is provided to manage a network environment. The system can include a management server with a management application. In addition, the management application is configured to enable a user to manage the network environment. A extension application server can host a plurality of extension modules. The extension modules can supply management functions to the management application for defined network components. Further, a plurality of management engines can be located on the extension application server.

Abstract: Managing a root cause analysis and outputting an identified root cause, for use in a system comprising a plurality of inter-related elements wherein at least some of the elements experience one or more anomalous states, comprising receiving initial indicators of system element states symptomatic of anomalous element operation, selecting an episode expiration time based on the received initial indicators, receiving additional such indicators, correlating the indicators received prior to the episode expiration time based on pre-defined relationships between the system elements, generating possible causes of the anomalous element states consistent with the received indicators and the pre-defined relationships, asserting possible causes as actual causes, identifying an actual cause as a root cause, and outputting the root cause.

Abstract: An engine for performing root cause analysis on a system comprising a plurality of elements in a modeled domain, the engine comprising a module loader and parser for loading modules of computer code containing computer language statements modeling elements of the system, including one or more of model type definitions, conditions, causal rules, and continuations; and for parsing the computer language statements; a storage for storing the parsed computer language statements; a receiver for receiving conditions representing state changes of system elements, accessing the storage, and determining one or more parsed computer language statements to apply to the received conditions; a hypothesis generator for instantiating one or more hypotheses of potential causes of each received condition consistent with the received conditions and the parsed computer language statements; a blackboard for receiving the instantiated hypotheses, and determining a root cause of the received conditions based on the hypotheses consis

Abstract: A method of compiling causal rules into continuations for use in root cause analysis of a system comprising a plurality of inter-related elements, comprising defining observable events occurring on system elements; defining at least one of a cause and a result of each of the events; defining causal rules, each rule describing a causal relationship between an event and one of its cause and its result; and compiling the causal relationships as continuations in a continuation passing style (CPS) for use in analyzing the root cause of subsequent observed events symptomatic of at least one problem on the system.

Abstract: A method of performing root cause analysis for use in a system comprising a plurality of inter-related elements, wherein at least some of the elements experience one or more abnormal conditions, comprising defining one or more conditions for more than one element symptomatic of abnormal operation of the element; defining one or more causal relationships between the conditions and results on one or more related elements; compiling the conditions and causal relationships of each element for which conditions and relationships have been defined, as at least one continuation in a continuation passing style (CPS); receiving one or more observed events symptomatic of abnormal operation of at least one element of the system; processing the received events using the conditions and the continuations; concluding at least one root cause of the received events consistent with the received events; and outputting the root cause.