Abstract: Embodiments of the present invention provide an approach for differentiated service identification/exposure in a networked computing environment (e.g., a cloud computing environment). In a typical embodiment, input model criteria will be generated. Such criteria may (among other things): identify service categories based on contextual bindings and domain centric functions; identify inter-service dependencies for a given business model (BPM); and/or provide dynamic validation of services to be exposed/identified. Embodiments of the present invention may further analyze service exposure criteria to provide efficient and accurate service exposure decisions as well as validation of the service exposure. This approach allows for consistent service exposure determinations based on decision histories of similarly (2-dimensional) aligned services in the past.

Abstract: Methods, systems, and computer program products for repeat execution of RCA logic through run-time discovered topology pattern maps are provided herein. A computer-implemented method includes determining one or more topology paths of configuration items from a collection of multiple views of a target system; identifying one or more patterns from the one or more topology paths of configuration items; comparing the one or more identified patterns against a collection of data comprising mappings between (i) multiple root cause analysis logical expressions and (ii) multiple system architecture patterns, thereby identifying one or more of the multiple root cause analysis logical expressions to be executed on the one or more topology paths of configuration items; and generating a user-accessible link via a uniform resource locator for direct invocation of the one or more identified multiple root cause analysis logical expressions executed on the one or more topology paths of configuration items.

Abstract: Methods, systems, and computer program products for repeat execution of RCA logic through run-time discovered topology pattern maps are provided herein. A computer-implemented method includes determining one or more topology paths of configuration items from a collection of multiple views of a target system; identifying one or more patterns from the one or more topology paths of configuration items; comparing the one or more identified patterns against a collection of data comprising mappings between (i) multiple root cause analysis logical expressions and (ii) multiple system architecture patterns, thereby identifying one or more of the multiple root cause analysis logical expressions to be executed on the one or more topology paths of configuration items; and generating a user-accessible link via a uniform resource locator for direct invocation of the one or more identified multiple root cause analysis logical expressions executed on the one or more topology paths of configuration items.

Abstract: Methods and arrangements for performing a tree-based asset search. An asset model is assimilated. The asset model is transformed into an asset tree search model. An asset search query is accepted and the asset search query is parsed. An asset search is conducted via applying the parsed asset search query to the asset tree model.

Abstract: Embodiments of the present invention provide an approach for differentiated service identification/exposure in a networked computing environment (e.g., a cloud computing environment). In a typical embodiment, input model criteria will be generated. Such criteria may (among other things): identify service categories based on contextual bindings and domain centric functions; identify inter-service dependencies for a given business model (BPM); and/or provide dynamic validation of services to be exposed/identified. Embodiments of the present invention may further analyze service exposure criteria to provide efficient and accurate service exposure decisions as well as validation of the service exposure. This approach allows for consistent service exposure determinations based on decision histories of similarly (2-dimensional) aligned services in the past.

Abstract: According to one embodiment of the present invention, a method computing resources are dynamically provisioned to meet service level objectives in a cloud computing environment. Resources available for provisioning to the cloud computing environment are determined and the quality thereof monitored. Current resource needs for a cloud job tenancy are determined, and selected resources are dynamically provisioned from resources available for provisioning based on the current resource needs and the quality of the resources available in order to meet the cloud job tenancy and the service level objectives.

Abstract: Embodiments of the present invention provide an approach for differentiated service identification/exposure in a networked computing environment (e.g., a cloud computing environment). In a typical embodiment, input model criteria will be generated. Such criteria may (among other things): identify service categories based on contextual bindings and domain centric functions; identify inter-service dependencies for a given business model (BPM); and/or provide dynamic validation of services to be exposed/identified. Embodiments of the present invention may further analyze service exposure criteria to provide efficient and accurate service exposure decisions as well as validation of the service exposure. This approach allows for consistent service exposure determinations based on decision histories of similarly (2-dimensional) aligned services in the past.

Abstract: A method, an apparatus and an article of manufacture for modeling a task-site allocation. The method includes generating a task-site allocation network based on at least one site-task pair and at least one site-centric constraint of at least two sites, wherein generating a task-site allocation network comprises generating a task-specific constraints model based on task context information and generating a task-site pair that satisfies at least one constraint based on the task-specific constraints model, and determining a preferred allocation of task to site by comparing estimated task-site allocation cost between a single site allocation and a distributed site allocation among the at least two sites.

Abstract: Embodiments of the present invention provide an approach for differentiated service identification/exposure in a networked computing environment (e.g., a cloud computing environment). In a typical embodiment, input model criteria will be generated. Such criteria may (among other things): identify service categories based on contextual bindings and domain centric functions; identify inter-service dependencies for a given business model (BPM); and/or provide dynamic validation of services to be exposed/identified. Embodiments of the present invention may further analyze service exposure criteria to provide efficient and accurate service exposure decisions as well as validation of the service exposure. This approach allows for consistent service exposure determinations based on decision histories of similarly (2-dimensional) aligned services in the past.

Abstract: Systems and associated methods for capturing and storing asset analysis details are described. Systems and methods provide for building a model of the particular asset requirement for a specific purpose and a model of the range of capabilities that a particular asset can provide. The mapping of these two models allows for the identification of the best asset for a particular solution requirement. An asset match may occur when an asset capability model whose functional and non-functional capabilities subsume the functional and non-functional requirements specified in the asset requirements model.

Abstract: According to one embodiment of the present invention, a method computing resources are dynamically provisioned to meet service level objectives in a cloud computing environment. Resources available for provisioning to the cloud computing environment are determined and the quality thereof monitored. Current resource needs for a cloud job tenancy are determined, and selected resources are dynamically provisioned from resources available for provisioning based on the current resource needs and the quality of the resources available in order to meet the cloud job tenancy and the service level objectives.

Abstract: According to one embodiment of the present invention, a method computing resources are dynamically provisioned to meet service level objectives in a cloud computing environment. Resources available for provisioning to the cloud computing environment are determined and the quality thereof monitored. Current resource needs for a cloud job tenancy are determined, and selected resources are dynamically provisioned from resources available for provisioning based on the current resource needs and the quality of the resources available in order to meet the cloud job tenancy and the service level objectives.

Abstract: A method, an apparatus and an article of manufacture for modeling a task-site allocation. The method includes generating a task-site allocation network based on at least one site-task pair and at least one site-centric constraint of at least two sites, wherein generating a task-site allocation network comprises generating a task-specific constraints model based on task context information and generating a task-site pair that satisfies at least one constraint based on the task-specific constraints model, and determining a preferred allocation of task to site by comparing estimated task-site allocation cost between a single site allocation and a distributed site allocation among the at least two sites.

Abstract: Methods and arrangements for dynamic trendline generation. Input data are assimilated at a capture timepoint from an estimation tool. The input data are filtered, and an estimation-centric map is created from the filtered data ; this creating of a map includes generating an estimation data tree. A trendline is dynamically generated responsive to a request, wherein this generating of a trendline includes applying the estimation data tree to the input data. The dynamically generated trendline is supplied to the estimation tool.

Abstract: The embodiments of the invention provide a method of organizing assets having artifacts in a repository. The method begins by organizing artifacts of at least one of the assets as internal nodes in a graph based on a context. The method simultaneously organizes the assets as external nodes in the graph based on the context. The internal nodes comprise artifacts having metadata that is updated by an artifact producer and/or an asset producer. Moreover, the external nodes comprise artifacts that are defined and/or updated by roles other than an artifact producer and/or an asset producer.

Abstract: Systems and associated methods for capturing and storing asset analysis details are described. Systems and methods provide for building a model of the particular asset requirement for a specific purpose and a model of the range of capabilities that a particular asset can provide. The mapping of these two models allows for the identification of the best asset for a particular solution requirement. An asset match may occur when an asset capability model whose functional and non-functional capabilities subsume the functional and non-functional requirements specified in the asset requirements model.

Abstract: Methods and systems for automatically generating a service oriented architecture (SOA) design. A set of business process maps for the domain under consideration is defined and a design quality goal (function) that should be met (optimized) is specified. The design goal/function involves SOA metrics like coupling, cohesion, granularity, etc., which the system under consideration is pre-programmed to compute on any SOA design. The system takes as input the set of business process maps and the design quality goal/functions. It first generates semantic business process maps by identifying key concepts that occur in the task and business item descriptions. Next, it efficiently searches the service design space by starting with a seed design and employing a sequence of moves to iteratively optimize it. It outputs a set of possible SOA designs that meet the specified quality goals or optimizes the specified function, from where a user may select the final design.

Abstract: Methods and arrangements for performing a tree-based asset search. An asset model is assimilated. The asset model is transformed into an asset tree search model. An asset search query is accepted and the asset search query is parsed. An asset search is conducted via applying the parsed asset search query to the asset tree model.

Abstract: Techniques for performing service exposure for reuse of one or more services are provided. The techniques include analyzing applicability of service criteria for a candidate service, identifying one or more services that are contextually-related to the candidate service, and using the service criteria applicable to the candidate service to expose the one or more services contextually-related to the candidate service.

Abstract: A web service request is received by an intermediary that performs a conversion of the requestor's service interface to the service interface supported by a service provider matching the requested service, then invokes that service. A reverse conversion is performed when passing a reply to the requester. The web serving intermediary maintains a library of each target service in terms of the target service's tModel and on its binding protocol support. The intermediary receives web service requests from requesters including their source tModel and target web service information. The intermediary identifies a mapping aspect to invoke the target web service from the aspect library. The target service tModel is embodied in the mapping aspect which is weaved into the code invoking the target service at runtime. In this way, the interface logic is decided at run time.