Abstract: The system and method described herein may provide service level management, wherein business processes may be composed of services. A state of the service may be defined by one or more service parameters, which depend upon performance of network components that support the service (e.g., component parameters). The state of the service may depend, for example, on a collection of service parameter values for availability, reliability, security, integrity, and response time. A service level agreement is a contract between a supplier and a customer that identifies services supported by a network, service parameters for the service, and service levels (e.g., acceptable levels for each service parameter).

Abstract: The system and method described herein may provide service level management, wherein business processes may be composed of services. A state of the service may be defined by one or more service parameters, which depend upon performance of network components that support the service (e.g., component parameters). The state of the service may depend, for example, on a collection of service parameter values for availability, reliability, security, integrity, and response time. A service level agreement is a contract between a supplier and a customer that identifies services supported by a network, service parameters for the service, and service levels (e.g., acceptable levels for each service parameter).

Abstract: Method and apparatus for service level management, wherein business processes are composed of services. A state of the service is defined by one or more service parameters, and the service parameters depend upon performance of network components that support the service, e.g., component parameters. The state of the service may depend, for example, on a collection of service parameter values for availability, reliability, security, integrity and response time. A service level agreement is a contract between a supplier and a customer that identifies services supported by a network, service parameters for the services, and service levels (e.g., acceptable levels) for each service parameter.

Abstract: Method and apparatus for service level management, wherein business processes are composed of services. A state of the service is defined by one or more service parameters, and the service parameters depend upon performance of network components that support the service, e.g., component parameters. The state of the service may depend, for example, on a collection of service parameter values for availability, reliability, security, integrity and response time. A service level agreement is a contract between a supplier and a customer that identifies services supported by a network, service parameters for the services, and service levels (e.g., acceptable levels) for each service parameter.

Abstract: Method and apparatus for service level management, wherein business processes are composed of services. A state of the service is defined by one or more service parameters, and the service parameters depend upon performance of network components that support the service, e.g., component parameters. The state of the service may depend, for example, on a collection of service parameter values for availability, reliability, security, integrity and response time. A service level agreement is a contract between a supplier and a customer that identifies services supported by a network, service parameters for the services, and service levels (e.g., acceptable levels) for each service parameter.

Abstract: Method and apparatus for service level management, wherein business processes are composed of services. A state of the service is defined by one or more service parameters, and the service parameters depend upon performance of network components that support the service, e.g., component parameters. The state of the service may depend, for example, on a collection of service parameter values for availability, reliability, security, integrity and response time. A service level agreement is a contract between a supplier and a customer that identifies services supported by a network, service parameters for the services, and service levels (e.g., acceptable levels) for each service parameter.

Abstract: A method for automated real-time impact assessment is disclosed. The method uses real-time events and alerts from monitored systems and environments such as computer networks, telecommunications networks, transportation systems, buildings, military units, emergency response teams, air traffic, medical facilities and services, chemical process plants, manufacturing assembly lines, power plants, farms, supply-chain management, businesses with workflow-based business processes, and other real-time applications which maintain situational models to depict, determine, and analyze the historical, current, and potential state of a complex set of interacting things, entities, and agents. The method shows first a means to acquire and update the relationships between entities represented in the situational view and entities such as business process, tasks, assets, and missions which are the subject of the impact assessment.

Abstract: Method and apparatus for service level management, wherein business processes are composed of services. A state of the service is defined by one or more service parameters, and the service parameters depend upon performance of network components that support the service, e.g., component parameters. The state of the service may depend, for example, on a collection of service parameter values for availability, reliability, security, integrity and response time. A service level agreement is a contract between a supplier and a customer that identifies services supported by a network, service parameters for the services, and service levels (e.g., acceptable levels) for each service parameter.

Abstract: A computer system includes a gateway which provides integration between a network management platform and a system management platform. Such a gateway facilitates sharing of network management and system management events and alarms, as well as sharing of network management and system management display views. From the shared events and alarms, each platform may correlate such shared events and alarms with other data available to the platform. Thus, each platform has the advantage of using its own data in combination with data from the other platform to more effectively perform its functionality.

Abstract: Method and apparatus for situation-based management of natural and artificial systems using event correlation and a situation manager. Input is provided from multiple sources in the form of a collection of events. A first level of processing performs event correlation over the collection of events and infers new events and new qualities of events. A second level of processing manages situations based on the collection of events, where situations are recognized, maintained, and given a degree of confidence. Situations are periodically updated based on incoming events. The assertion of a situation may call for information from external sources, provide information for external sources, and provide control instructions to external sources. Given a current situation, past, and possible future situations are inferred. Additionally, a method and apparatus for bi-directional communication between the event correlator and situation manager.

Abstract: Method and apparatus for situation-based management of natural and artificial systems using event correlation and a situation manager. Input is provided from multiple sources in the form of a collection of events. A first level of processing performs event correlation over the collection of events and infers new events and new qualities of events. A second level of processing manages situations based on the collection of events, where situations are recognized, maintained, and given a degree of confidence. Situations are periodically updated based on incoming events. The assertion of a situation may call for information from external sources, provide information for external sources, and provide control instructions to external sources. Given a current situation, past, and possible future situations are inferred. Additionally, a method and apparatus for bi-directional communication between the event correlator and situation manager.

Abstract: Method and apparatus for situation-based management of natural and artificial systems using event correlation and a situation manager. Input is provided from multiple sources in the form of a collection of events. A first level of processing performs event correlation over the collection of events and infers new events and new qualities of events. A second level of processing manages situations based on the collection of events, where situations are recognized, maintained, and given a degree of confidence. Situations are periodically updated based on incoming events. The assertion of a situation may call for information from external sources, provide information for external sources, and provide control instructions to external sources. Given a current situation, past, and possible future situations are inferred. Additionally, a method and apparatus for bi-directional communication between the event correlator and situation manager.

Abstract: Method and apparatus for situation-based management of natural and artificial systems using event correlation and a situation manager. Input is provided from multiple sources in the form of a collection of events. A first level of processing performs event correlation over the collection of events and infers new events and new qualities of events. A second level of processing manages situations based on the collection of events, where situations are recognized, maintained, and given a degree of confidence. Situations are periodically updated based on incoming events. The assertion of a situation may call for information from external sources, provide information for external sources, and provide control instructions to external sources. Given a current situation, past, and possible future situations are inferred. Additionally, a method and apparatus for bi-directional communication between the event correlator and situation manager.

Abstract: Apparatus and method for distributed object filtering of objects transferred between a client and server. The objects may be alarms transferred between a network management server and one or more network management applications. The apparatus and method further includes applying a plurality of policy-based filters to the alarms. The filters may be named and stored in a database, and application of the policy-based filters may be scheduled for different times. The same policy-based filters may be applied to one or more multiple network management applications. The system and method provides increased performance and reliability of passing objects from a server to a client application.

Abstract: A multi-domain network manager provides alarm correlation among a plurality of domains included in a communications network. Individual network management systems each monitor a single respective domain of the communications network, and provide intra-domain alarms indicative of status specific to the single respective domain. The multi-domain network manager receives the intra-domain alarms, and correlates them to provide inter-domain alarms as well as responses in the form of corrective actions. The multi-domain network manager thus provides a high level of correlation and response for the entire network while each network management system provides a lower level of correlation and response for an individual domain of the network.

Abstract: Configuration management of managed objects is performed based upon performance data. Configuration management is performed on varying levels according to the amount of interpretation of the performance data that is required. A new configuration for an object is determined based upon the performance data, and the object is reconfigured according to the new configuration. Analysis may be performed at varying levels by a reactive analyzer and a deliberative analyzer.

Abstract: Buffer element for communication network, including a first buffer memory to store communication units corresponding to a first quality of service (QOS) level, and a second buffer memory to store communication units corresponding to a second quality of service level. A buffer manager selectively stores communication units from the first and second buffers based on the corresponding quality of service level, and retrieves communication units from the first and second buffer memories. The buffer manager includes a sorter unit for selectively storing based on the quality of service level. The buffer element may further include a depth adjuster to adjust the depth of the first and second buffer memory.

Abstract: Apparatus and method for distributed object filtering of objects transferred between a client and server. The objects may be alarms transferred between a network management server and one or more network management applications. The apparatus and method further includes applying a plurality of policy-based filters to the alarms. The filters may be named and stored in a database, and application of the policy-based filters may be scheduled for different times. The same policy-based filters may be applied to one or more multiple network management applications. The system and method provides increased performance and reliability of passing objects from a server to a client application.

Abstract: Method and apparatus for determining an enforceable policy applicable to one or more network devices. The method includes attaching one or more rule elements to one or more domain elements to create policies, the domain elements representing network devices and groups of network devices, and the rule elements defining actions, a method for determining whether a conflict exists between the polices, and a method for resolving the conflicts to produce one or more enforceable policies.

Abstract: Network capacity evaluation and planning is performed based upon the traffic across the links of the network. Once a link's traffic volume has been measured, it is compared with the link's traffic capability, and the resulting parameters compared with the traffic and capability of other links of the network to create measures of network capacity and balance. Then, simulated changes to the network configuration may be made by substituting simulated traffic volume amounts and capabilities for selected link traffic measurements and capabilities, and the resulting measures of network capacity and balance may then be compared to determine whether the simulated changes represent a preferred network configuration.