Abstract: A technique to generically manage extensible correlation data is provided for correlating a series of events. The technique employs a global unique identifier (GUID) for identifying an event and uses the GUID as a key to associate one or more extensible correlators of correlation data. A transport correlator may be configured to transport the GUID for associating with a GUID of a second event such that a small and fixed amount of data is passed by the communications layer providing the transport, minimally impacting communications. An arbitrary amount of data may be logged and keyed with the GUID, providing optimization and flexibility.

Abstract: A composable software bundle is created by retrieving a semantic representation of a set of software modules. A functional representation of a set of operations is retrieved. Each operation in the set of operations is to be performed on the set of software modules during at least one virtual image life-cycle phase in a set of virtual image life-cycle phases. A set of artifacts including a set of executable instructions associated with the set of operations is identified. The semantic representation, the functional representation, and the set of artifacts, are stored in a composable software bundle.

Abstract: A virtual image is created by receiving a selection of at least one composable software bundle. The at least one composable software bundle includes a first set of metadata and a first set of artifacts comprising a first set of executable instructions associated with a first set of operations. A virtual image asset is selected and received. The virtual image asset includes one or more virtual image disks, a second set of metadata, and a second set of artifacts including a second set of executable instructions associated with a second set of operations. A new virtual image asset is created based on the at least one composable software bundle and the virtual image asset. The new virtual image asset includes a third set of metadata that is based on the first set of metadata and the second set of metadata.

Abstract: Embodiments of the present invention provide a flexible approach to construct/create instances of cloud computing environments. Specifically, under embodiments of the present invention, an image of a virtual machine instance is created from the following components: image bits; content such as the liner notes, manual, metadata, etc.; end user information (so that the image can be customized for one or more specific end users); values provided to an installer; and cloud based values (e.g., IP address, hostname, etc.). By constructing the virtual machine using this approach, dynamic aspects of the image are managed external to the static binary representation of the image. This would include artifacts such as documentation, install scripts, binary files, etc. Additionally, user supplied data can be captured dynamically and copied to customize the image at the time of instance creation. Still yet, embodiments of the present invention provides system level configuration to construct the virtual machine.

Abstract: Lifecycles of virtual image assets are managed as follows. A set of assets including a set virtual image assets and a set of software bundle assets are analyzed. At least a portion of relationship data between one or more of the virtual image assets and one or more of the software bundle assets is determined. The at least a portion of relationship data is stored in a memory. At least one of one or more virtual image assets and one or more software bundle assets are determined to be associated with a set of changes. At least one virtual image asset that is related to the one or more virtual image assets and/or one or more software bundle assets associated with the set of changes is identified. The at least one virtual image asset that has been identified is updated based on the set of changes.

Abstract: Lifecycles of virtual image assets are managed as follows. A set of assets including a set virtual image assets and a set of software bundle assets are analyzed. At least a portion of relationship data between one or more of the virtual image assets and one or more of the software bundle assets is determined. The at least a portion of relationship data is stored in a memory. At least one of one or more virtual image assets and one or more software bundle assets are determined to be associated with a set of changes. At least one virtual image asset that is related to the one or more virtual image assets and/or one or more software bundle assets associated with the set of changes is identified. The at least one virtual image asset that has been identified is updated based on the set of changes.

Abstract: A deployment modeling platform enables a user to model application characteristics of target software and to associate application modeling parameters to the modeled application characteristics. A user may also model environment characteristics of a target deployment environment and to associate environment modeling parameters to the modeled deployment environment characteristics. Still further, a user may create a deployment model that associates and maps selected parameters of the modeled application characteristics of the target software to associated parameters of the modeled environment characteristics of the deployment environment, and to verify that each parameter that relates to a requirement is mapped to and is fulfilled by an associated parameter that relates to a corresponding capability to determine whether validation problems exist in order to deploy the target software in the associated deployment environment.

Abstract: An approach is provided for selecting a development resource to develop a component in a Unified Modeling Language (UML) software system architecture. Specifically, a request for a developer is received from an architect. A component for the developer is determined and candidate analytics is performed on the component. Based on the candidate analytics, a list of potential candidates is presented to the architect. A developer is then selected from the list of candidates.

Abstract: Lifecycles of virtual image assets are managed as follows. A set of assets including a set virtual image assets and a set of software bundle assets are analyzed. At least a portion of relationship data between one or more of the virtual image assets and one or more of the software bundle assets is determined. The at least a portion of relationship data is stored in a memory. At least one of one or more virtual image assets and one or more software bundle assets are determined to be associated with a set of changes. At least one virtual image asset that is related to the one or more virtual image assets and/or one or more software bundle assets associated with the set of changes is identified. The at least one virtual image asset that has been identified is updated based on the set of changes.

Abstract: A deployment modeling platform enables a user to model application characteristics of target software and to associate application modeling parameters to the modeled application characteristics. A user may also model environment characteristics of a target deployment environment and to associate environment modeling parameters to the modeled deployment environment characteristics. Still further, a user may create a deployment model that associates and maps selected parameters of the modeled application characteristics of the target software to associated parameters of the modeled environment characteristics of the deployment environment, and to verify that each parameter that relates to a requirement is mapped to and is fulfilled by an associated parameter that relates to a corresponding capability to determine whether validation problems exist in order to deploy the target software in the associated deployment environment.

Abstract: A deployment modeling platform enables a user to model application characteristics of target software and to associate application modeling parameters to the modeled application characteristics. A user may also model environment characteristics of a target deployment environment and to associate environment modeling parameters to the modeled deployment environment characteristics. Still further, a user may create a deployment model that associates and maps selected parameters of the modeled application characteristics of the target software to associated parameters of the modeled environment characteristics of the deployment environment, and to verify that each parameter that relates to a requirement is mapped to and is fulfilled by an associated parameter that relates to a corresponding capability to determine whether validation problems exist in order to deploy the target software in the associated deployment environment.

Abstract: A composable software bundle is created by retrieving a semantic representation of a set of software modules. A functional representation of a set of operations is retrieved. Each operation in the set of operations is to be performed on the set of software modules during at least one virtual image life-cycle phase in a set of virtual image life-cycle phases. A set of artifacts including a set of executable instructions associated with the set of operations is identified. The semantic representation, the functional representation, and the set of artifacts, are stored in a composable software bundle.

Abstract: Lifecycles of virtual image assets are managed as follows. A set of assets including a set virtual image assets and a set of software bundle assets are analyzed. At least a portion of relationship data between one or more of the virtual image assets and one or more of the software bundle assets is determined. The at least a portion of relationship data is stored in a memory. At least one of one or more virtual image assets and one or more software bundle assets are determined to be associated with a set of changes. At least one virtual image asset that is related to the one or more virtual image assets and/or one or more software bundle assets associated with the set of changes is identified. The at least one virtual image asset that has been identified is updated based on the set of changes.

Abstract: A virtual image is created by receiving a selection of at least one composable software bundle. The at least one composable software bundle includes a first set of metadata and a first set of artifacts comprising a first set of executable instructions associated with a first set of operations. A virtual image asset is selected and received. The virtual image asset includes one or more virtual image disks, a second set of metadata, and a second set of artifacts including a second set of executable instructions associated with a second set of operations. A new virtual image asset is created based on the at least one composable software bundle and the virtual image asset. The new virtual image asset includes a third set of metadata that is based on the first set of metadata and the second set of metadata.

Abstract: Embodiments of the present invention provide a flexible approach to construct/create instances of cloud computing environments. Specifically, under embodiments of the present invention, an image of a virtual machine instance is created from the following components: image bits; content such as the liner notes, manual, metadata, etc.; end user information (so that the image can be customized for one or more specific end users); values provided to an installer; and cloud based values (e.g., IP address, hostname, etc.). By constructing the virtual machine using this approach, dynamic aspects of the image are managed external to the static binary representation of the image. This would include artifacts such as documentation, install scripts, binary files, etc. Additionally, user supplied data can be captured dynamically and copied to customize the image at the time of instance creation. Still yet, embodiments of the present invention provides system level configuration to construct the virtual machine.

Abstract: An arbiter facility is provided that operates to control the flow of processes that form a test script. The control of the processes that are performed are based on explicit rules or conditions. The rules implemented by the arbiter facility result in different processes within the test script being performed based on data processed by the arbiter facility. Moreover, the arbiter facility implement rules which explicitly express, within the test case, the value of individual operations. In the exemplary embodiment, the value of one or more individual operations are explicitly expressed by the rules that are imposed on the results returned to the arbiter facility by the various verification points within the test script. Accordingly and advantageously, analysis on the value of a verification point may be performed prior to implementing or executing a test script. This analysis may then be reflected in the rule implemented in the arbiter facility.

Abstract: A schema for storing the meta data that describes relational databases. Advantageously, the schema can be used in both database vendor environments and toolkit vendor environments, thereby facilitating the sharing of relational database types. In addition, by describing the schema in a standard modeling language, even among multiple implementations of storage systems designed according to the schema, the conceptual structure and understanding of each storage system can be the same.

Abstract: System and computer program product having code for presenting event associations between events from one or more event flows on a display screen of a computer by: constructing a sequence diagram representation, the representation having timelines for the event flows and directional paths between the timelines for the event associations; and displaying the representation on the display.

Abstract: A deployment modeling platform enables a user to model application characteristics of target software and to associate application modeling parameters to the modeled application characteristics. A user may also model environment characteristics of a target deployment environment and to associate environment modeling parameters to the modeled deployment environment characteristics. Still further, a user may create a deployment model that associates and maps selected parameters of the modeled application characteristics of the target software to associated parameters of the modeled environment characteristics of the deployment environment, and to verify that each parameter that relates to a requirement is mapped to and is fulfilled by an associated parameter that relates to a corresponding capability to determine whether validation problems exist in order to deploy the target software in the associated deployment environment.

Abstract: A system for the testing of a software component API includes the generation of a wrapper component. The wrapper component is generated by determining the interface of the software component and by mirroring that interface in the public interface of the wrapper. The wrapper methods delegate to the software component API. Test code is included within the wrapper component to permit capture and playback of interaction with the software component API. Test case software accesses the software component API through the wrapper. The wrapper both generates trace data based on the interaction between the test case and the software component and delegates to the software component API.