Abstract: Model-based system monitoring includes identifying multiple monitors configured to monitor multiple components in a system, and accessing multiple health models associated with the multiple monitors. A monitoring policy is generated to monitor the system. The monitoring policy is derived, at least in part, from the multiple health models.

Abstract: Model-based system monitoring includes accessing a model of a system that includes multiple components and identifying relationships among the multiple components based on the model of the system. A proposed change to at least one of the multiple components is identified. A determination is made regarding an expected impact on the system caused by the proposed change. This determination is made, at least in part, based on the model of the system.

Abstract: Model-based system provisioning includes accessing a model of an application to be installed in a system and further accessing a model of the system. An installation specification for the application is also generated, the installation specification being derived at least in part from the model of the application and the model of the system.

Abstract: A design tool includes a service definition model to enable abstract description of distributed computing systems and distributed applications. The design tool also includes a schema to dictate how functional operations within the service definition model are to be specified. The functional operations include design of distributed applications, deployment of distributed applications, and management of distributed applications.

Abstract: A conversion method for converting numeric multi-dimensional database members to textual representations may be provided. The conversion may allow textual representations for the numeric dimension members to be sorted and converted back into numeric representations with accuracy. All numeric and date data may be transformed during conversion, such that the textual representation of the numeric and date data is properly sorted as a text string, in the same order as it would be sorted as a number. Accurate reverse-conversion (i.e., from textual representation to numeric representation) may also be provided. The reverse-conversion may include converting into text, information that may be necessary to support a precision required by the relevant convention of the numeric representation and a convention for determining the data type of the textual representations of values. The textual representation may be configured to sort by value independent of the numeric data-types.

Abstract: Described herein are techniques for specifying and utilizing static data in the environment of a tag-based or meta-markup document description language such as XML.

Abstract: In accordance with certain aspects of the model-based policy application, each of a plurality of policies is associated with appropriate parts of a model of a heterogeneous system. A deployment agent is invoked to apply each of the plurality of policies to components associated with the parts of the model. An identification of a change to one of the plurality of policies is received, and the deployment agent is also invoked to apply the changed policy to selected ones of the components associated with the parts of the model.

Abstract: Modeling operational policies of operating a business's or institution's actual or planned IT system. The IT system may include components such as applications, application hosts, one or more networks or components thereof, hardware, and interrelationships between the components. The IT system is to be operated in accordance with operational policies that govern existence or numerosity of components, how the components are interrelated, how the components and interrelationships are configured, and/or manual or automated processes for managing and maintaining the IT system. The modeling may involve generating code that conforms to a language by declaring abstractions using types that correspond to the components of the IT system, by declaring types of interrelationships that correspond to the interrelationships of the IT system, and by defining constraints upon and between the abstract types, where the constraints correspond to operational policies of operating the IT system.

Abstract: A design tool includes a service definition model to enable abstract description of distributed computing systems and distributed applications. The design tool also includes a schema to dictate how functional operations within the service definition model are to be specified. The functional operations include design of distributed applications, deployment of distributed applications, and management of distributed applications.

Abstract: Model-based propagation of attributes allows a user to define one or more attributes, policies associated with the system and particular components, constraints associated with various components, and dependencies between components of the system. The user also defines the manner in which the attributes are to be propagated throughout a model of the system. The attributes are then propagated to the appropriate components in the model using information associated with the model of the system.

Abstract: A design tool includes a service definition model to enable abstract description of distributed computing systems and distributed applications. The design tool also includes a schema to dictate how functional operations within the service definition model are to be specified. The functional operations include design of distributed applications, deployment of distributed applications, and management of distributed applications.

Abstract: Model-based virtual system provisioning includes accessing a model of a workload to be installed on a virtual machine of a system as well as a model of the system. A workload refers to some computing that is to be performed, and includes an application to be executed to perform the computing, and optionally includes the operating system on which the application is to be installed. The workload model identifies a source of the application and operating system of the workload, as well as constraints of the workload, such as resources and/or other capabilities that the virtual machine(s) on which the workload is to be installed must have. An installation specification for the application is also generated, the installation specification being derived at least in part from the model of the workload and the model of the virtual system.

Abstract: Model-based configuration management and modeling identifies violations of configuration constraints. A system includes multiple components and multiple applications defined by a model of the system. A process identifies configuration settings associated with the components and configuration settings associated with the applications. A configuration policy is created for the system based on information contained in the model of the system and the configuration settings.

Abstract: A design tool includes a service definition model to enable abstract description of distributed computing systems and distributed applications. The design tool also includes a schema to dictate how functional operations within the service definition model are to be specified. The functional operations include design of distributed applications, deployment of distributed applications, and management of distributed applications.

Abstract: Model-based system monitoring includes accessing a model of a system that includes multiple components and executing a monitoring policy to monitor performance of the system. A notification of a problem is received from a first component. A determination is made regarding the cause of the problem. The determination is made, at least in part, based on the model of the system. At least one component associated with the cause of the problem is then identified.

Abstract: Model-based capacity planning includes accessing a model of a planned system that includes multiple components. Relationships among the multiple components are identified based on the model of the system. Transactions to be performed by the planned system are identified along with a cost associated with each of the identified transactions. Operation of the planned system is simulated using the model of the planned system and the identified costs.

Abstract: Model-based system monitoring includes accessing a model of a system that includes multiple components and identifying relationships among the multiple components based on the model of the system. A proposed change to at least one of the multiple components is identified. A determination is made regarding an expected impact on the system caused by the proposed change. This determination is made, at least in part, based on the model of the system.

Abstract: Model-based system monitoring includes identifying multiple monitors configured to monitor multiple components in a system, and accessing multiple health models associated with the multiple monitors. A monitoring policy is generated to monitor the system. The monitoring policy is derived, at least in part, from the multiple health models.

Abstract: A design tool includes a service definition model to enable abstract description of distributed computing systems and distributed applications. The design tool also includes a schema to dictate how functional operations within the service definition model are to be specified. The functional operations include design of distributed applications, deployment of distributed applications, and management of distributed applications.

Abstract: A design tool includes a service definition model to enable abstract description of distributed computing systems and distributed applications. The design tool also includes a schema to dictate how functional operations within the service definition model are to be specified. The functional operations include design of distributed applications, deployment of distributed applications, and management of distributed applications.