Abstract: First resources of a first cloud, a first dependency between the first resources, and second resources of a second cloud may be automatically discovered. Second resources of a second cloud may be discovered. A migration map between the first cloud and the second cloud may be generated based on the discovered first and second resources. The migration map may be recursively modified to increase accuracy of the migration map. The first resources may be migrated to the second cloud based on the modified migration map.

Abstract: A method of policy-based scaling of network resources comprises, with a processor, creating a dependency data set for a number of application components on a network, setting a number of scaling policies by tier based on the dependency data set, and applying the scaling policies within the network. A cloud management device for policy-based scaling of network resources comprises a processor, and a data storage device communicatively coupled to the processor, in which the processor creates a dependency data set for a number of application components on a network, and sets a number of scaling policies by tier based on the dependency data set.

Abstract: A method of policy-based scaling of network resources comprises, with a processor, creating a dependency data set for a number of application components on a network, setting a number of scaling policies by tier based on the dependency data set, and applying the scaling policies within the network. A cloud management device for policy-based scaling of network resources comprises a processor, and a data storage device communicatively coupled to the processor, in which the processor creates a dependency data set for a number of application components on a network, and sets a number of scaling policies by tier based on the dependency data set.

Abstract: Repository data fragments distributed across one or both of a first cloud and a network may be accessed. The repository data fragments may be combined into repository data. First resources of the first cloud, a dependency between the first resources, and second resources of a second cloud may be discovered. A migration map between the first cloud and the second cloud may be generated based on the discovered first and second resources and based on the repository data. The first resources may be migrated to the second cloud based on the migration map.

Abstract: A method of policy-based scaling of network resources comprises, with a processor, creating a dependency data set for a number of application components m a network, setting a number of scaling policies by tier based on the dependency date set, and applying the scaling policies within the network. A cloud management device for policy-based scaling of network resources comprises a processor, and a data storage device communicatively coupled to the processor, in which the processor creates a dependency data set for a number of application components on a network, and sets a number of scaling policies by tier based on the dependency data set.

Abstract: In one implementation, a method comprises receiving an objective of a business, searching an application repository to automatically identify an application in the application repository that is associated with the received objectives, receiving metrics for the application and outputting an objective evaluation of the application based on the received metrics and the received objectives. In one implementation, usage of a plurality of applications is monitored to identify usage patterns for each of the plurality of applications. The identified usage patterns are compared with received business objectives and an objective evaluation is output for each of the applications based upon the comparison, the objective evaluation serving as a basis for maintaining, discontinuing or re-architecting the applications.

Abstract: A method and apparatus receive an input indicating system service requirements. A repository is searched based upon the system service requirements to identify a solution model, the solution model comprising a framework of functional elements for the system service requirements. Criteria regarding the identified functional elements are received, and archetype and archetype products are identified based on the functional elements and the criteria. A system blueprint is generated comprising the archetype. products. The primary system blueprint comprises an application model and an infrastructure model, wherein the application model comprises a listing of archetype products and configuration settings for each archetype product and wherein the infrastructure model comprises specifications for an infrastructure connecting the archetype products.

Abstract: A method of migrating a number of applications from a first network to a second network comprises, with a processor, creating a dependency data set for a first network, creating a migration plan to migrate a number of applications from the first network to a second network based on the dependency data set, and migrating a number of applications from the first network to the second network based on the migration plan. A migration device for migrating a number of applications from a first network to a second network, comprises a processor, and a data storage device communicatively coupled to the processor, in which the processor creates a dependency data set for the first network, and migrates a number of applications from the first network to the second network based on the dependency data set.

Abstract: First resources of a first cloud, a first dependency between the first resources, and second resources of a second cloud may be automatically discovered. Second resources of a second cloud may be discovered. A migration map between the first cloud and the second cloud may be generated based on the discovered first and second resources. The migration map may be recursively modified to increase accuracy of the migration map. The first resources may be migrated to the second cloud based on the modified migration map.

Abstract: Repository data fragments distributed across one or both of a first cloud and a network may be accessed. The repository data fragments may be combined into repository data. First resources of the first cloud, a dependency between the first resources, and second resources of a second cloud may be discovered. A migration map between the first cloud and the second cloud may be generated based on the discovered first and second resources and based on the repository data. The first resources may be migrated to the second cloud based on the migration map.

Abstract: A method of migrating a number of applications from a first network to a second network comprises, with a processor, creating a dependency data set for a first network, creating a migration plan to migrate a number of applications from the first network to a second network based on the dependency data set, and migrating a number of applications from the first network to the second network based on the migration plan. A migration device for migrating a number of applications from a first network to a second network, comprises a processor, and a data storage device communicatively coupled to the processor, in which the processor creates a dependency data set for the first network, and migrates a number of applications from the first network to the second network based on the dependency data set.

Abstract: A method of policy-based scaling of network resources comprises, with a processor, creating a dependency data set for a number of application components m a network, setting a number of scaling policies by tier based on the dependency date set, and applying the scaling policies within the network. A cloud management device for policy-based scaling of network resources comprises a processor, and a data storage device communicatively coupled to the processor, in which the processor creates a dependency data set for a number of application components on a network, and sets a number of scaling policies by tier based on the dependency data set.

Abstract: A method, system, and computer program product for measuring and assessing an organization's business adaptability is provided. In one embodiment, a taxonomy comprising a hierarchical list of taxonomy indicators that captures organizational elements that can be used to measure an organization's responsiveness to change is created. The taxonomy indicators are industry specific. A set of weights associated with the elements of the taxonomy, indicating a relevant contribution of each element to an overall adaptability of an organization, is assigned. The set of weights are industry specific. An enterprise profile is created assigning a level of adaptability to each taxonomy indicator indicating where, in a range of scores from low to high, an enterprise rates relative to the relevant taxonomy indicator. An adaptability result of the organization from the weights, taxonomy, and enterprise profile is then calculated. The adaptability result provides a quantitative assessment of the organization's adaptability.

Abstract: A method, system, and computer program product for determining a business level metric for assessing the impact of performance degradation of IT components upon the revenue stream of an entity is provided. In one embodiment, the business level metric is determined by determining business functions that comprises a revenue stream for a line of business. Weights are then assigned to each business function, wherein the weights indicate the relative importance of each business function in relation to the other business functions. For each business function, the business processes that enable the completion of a specific business function are determined and weights. For each business process, critical service points for measuring the performance of supporting information technology components for the business process are determined and weights are assigned. The critical service points are then monitored and a partial business level metric raw score is determined.

Abstract: A method for application rationalization to assist clients in reducing the complexity of information technology (IT) and expedite the benefits of IT transformation. One exemplary application is described using the disclosed methodologies within the communications industry.

Abstract: A capacity planning project planning tool, and an associated method, for a computer system. Planning is provided by which to determine computer system resource requirements needed pursuant to a project. A common data base is created and populated with planning data related to the system planning project. The data stored at the common data base is dynamically updatable. A capacity planner utilizes the planning data stored at the common data base. The capacity planner plans the computer system resource requirements and adjusts the plan responsive to dynamic updates to the planning data.

Abstract: In certain embodiments, a method for determining a technology state of an entity comprises accessing information technology (IT) quantity data for an entity for a first time period. The IT quantity data comprises: (1) technology quantity data for technology components of the entity, indicating for the first time period a number of obsolete and a number of non-obsolete technology components; (2) process quantity data for processes of the entity, indicating for the first time period a number of obsolete and a number of non-obsolete processes; and (3) people quantity data for people of the entity, indicating for the first time period a number of obsolete and a number of non-obsolete people. Expenditure data for the technology components, processes, and people is accessed and comprises one or more of capital expense data and operational expense data for the first time period.

Abstract: Techniques are described for determining the complexity of a computing environment. The techniques include developing a model for the complexity of a computing environment based on the quantity of particular elements of the computing environment. The model includes two statistical weights for each element in the complexity model. One statistical weight is applied to each element to provide a complexity rating of the element. Another statistical weight is applied to each element to provide a complexity rating across all elements.

Abstract: Techniques are provided for data center analysis. In certain implementations, data center analysis includes evaluating the maturity of each of predefined of data center categories, where each category is associated with a data center resource, and maturity reflects management organization of a category.

Abstract: A computing system (10) includes elements (12-24) interfacing at integration points (26-47). One or more of the elements (12-24) may be associated with one or more testing tables. For example, a testing table (48) may include a test procedure (54) and several corresponding test codes (54a, 54b, 54c) associated with alternate product configurations (12a, 12b, 12c) that satisfy the functional requirements of an element (12). The testing tables in the computing system (10) provide a systematic and standardized scheme for defining, creating, modifying, and adapting integration test code. A testing system (11) accesses the testing tables to test the integration of the elements (12-24) in the computing system (10).