Abstract: A system including at least one memory having a plurality of individual contributions forming a compilation stored in the at least one memory; and at least one processor connected to the at least one memory, where the processor is configured to use provenance data associated with a catalog item to track an individual contribution in a compilation of contributions, where the compilation is stored in the at least one memory; and dynamically compute a royalty distribution for the individual contribution based, at least partially, upon at least one metric related to the contributions which form the compilation.

Abstract: A method for creating a configurable model for rating and metering resource usage, the method includes utilizing at least one rating context for a contract of a registered offering, wherein the registered offering is a resource, monitoring the resource usage to create a usage record, optimizing the collection of the usage data based on revenue potential and metering costs, contextualizing a usage record of the resource, generating rated usage data according to the usage record, and tuning a performance indicator of a metering definition for the registered offering based on the rated usage data.

Abstract: A system including at least one memory having a plurality of individual contributions forming a compilation stored in the at least one memory; and at least one processor connected to the at least one memory. The processor is configured to identify at least one of the individual contributions; and determine a royalty distribution value for the identified individual contribution based, at least partially, upon at least one weighted metric regarding the compilation.

Abstract: Disclosed is a method, computer-program product and a system to compose an application solution on a cloud-computing platform for a user. The method includes, in response to input from the user, selecting at least one predetermined template that includes a hardware and software instance of a data processing system that is implementable as an solution on a cloud platform; comparing the at least one selected template against a set of constraints; establishing an instance of a cloud based solution for the user based on the selected template; and validating the established cloud based solution against user-uploaded information such as software and workloads to ensure that the solution satisfies requirements of the user, such as both technical and financial requirements of the user.

Abstract: Disclosed is a method, computer-program product and a system to compose an application solution on a cloud-computing platform for a user. The method includes, in response to input from the user, selecting at least one predetermined template that includes a hardware and software instance of a data processing system that is implementable as an solution on a cloud platform; comparing the at least one selected template against a set of constraints; establishing an instance of a cloud based solution for the user based on the selected template; and validating the established cloud based solution against user-uploaded information such as software and workloads to ensure that the solution satisfies requirements of the user, such as both technical and financial requirements of the user.

Abstract: A method is disclosed that includes rendering a portion of a collaborative data stream at a first application running in a first virtual machine on a physical server. The method also includes the first application sharing the rendered portion of the collaborative data stream with a multiplicity of second applications running in second virtual machines on the physical server. Apparatus and program products are also disclosed.

Abstract: One embodiment of a method for provisioning a new virtual machine instance based on the content of an image of the new virtual machine instance includes identifying, from among a plurality of host machines, the host machine having the highest percentage of the content available in local storage, and provisioning the new virtual machine instance on the host machine having the highest percentage of the content available in local storage. Another embodiment of a method for provisioning a new virtual machine instance based on an image of the new virtual machine instance includes constructing at least a portion of the image using data stored locally on a target machine hosting the new virtual machine instance, and completing the image using data obtained over a network from remote storage.

Abstract: One embodiment of a system for provisioning a new virtual machine instance on a target host based on an image of the new virtual machine instance includes a local storage for storing images of virtual machine instances currently running on the target host and a virtual machine creator coupled to the local storage for constructing the image of the new virtual machine instance at least in part using the images of virtual machine instances currently running on the target host.

Abstract: Co-locating a virtual machine with nested virtualization, in one aspect, may comprise receiving a list of one or more virtual machine instances to co-locate with associated configuration information. A parent virtual machine instance may be identified to host the one or more virtual machine instances. Virtual machine images associated with the one or more virtual machine instances may be consolidated. A composite parent virtual machine image may be created based on the consolidated virtual machine images and the parent virtual machine instance. The parent virtual machine instance may be configured to accommodate for capacity requirement of the one or more child virtual machine instances. The parent virtual machine instance may be started on a processor via the composite parent virtual machine image. The one or more virtual machine instances may be started within the parent virtual machine instance as one or more child virtual machine instances.

Abstract: Co-locating a virtual machine with nested virtualization, in one aspect, may comprise receiving a list of one or more virtual machine instances to co-locate with associated configuration information. A parent virtual machine instance may be identified to host the one or more virtual machine instances. Virtual machine images associated with the one or more virtual machine instances may be consolidated. A composite parent virtual machine image may be created based on the consolidated virtual machine images and the parent virtual machine instance. The parent virtual machine instance may be configured to accommodate for capacity requirement of the one or more child virtual machine instances. The parent virtual machine instance may be started on a processor via the composite parent virtual machine image. The one or more virtual machine instances may be started within the parent virtual machine instance as one or more child virtual machine instances.

Abstract: Techniques are disclosed for integration, provisioning and management of entities and processes in a computing system such as, by way of example only, business entities and business processes. In particular, techniques are disclosed for ontology based resource provisioning and management for services. For example, such an ontology based approach can be utilized in conjunction with a business support system which may be employed in conjunction with a cloud computing environment.

Abstract: Techniques for dynamic management of virtual machine environments are disclosed. For example, a technique for automatically managing a first set of virtual machines being hosted by a second set of physical machines comprises the following steps/operations. An alert is obtained that a service level agreement (SLA) pertaining to at least one application being hosted by at least one of the virtual machines in the first set of virtual machines is being violated. Upon obtaining the SLA violation alert, the technique obtains at least one performance measurement for at least a portion of the machines in at least one of the first set of virtual machines and the second set of physical machines, and a cost of migration for at least a portion of the virtual machines in the first set of virtual machines. Based on the obtained performance measurements and the obtained migration costs, an optimal migration policy is determined for moving the virtual machine hosting the at least one application to another physical machine.

Abstract: A system and method for transforming a legacy device into a virtualized environment, comprising includes analyzing the profiling data for at least one application to determine usage frequency and resource requirements of the at least one application. Captured user events are benchmarked to simulate a user workload for the at least one application to determine how resource utilization and execution times scale from a legacy environment to a virtualized environment. The legacy device is transformed into the virtualized environment in accordance with a provisioning plan.

Abstract: To provide collaborative hosting of applications, the present invention first generates a virtual operating system image consisting of operating system code, application code, runtime code and supporting data repositories. The virtual operating system image may then be sent to and deploying on a physical computer or computer terminal at another location.

Abstract: A method, an apparatus and an article of manufacture for cloud-driven application execution. The method includes determining a plurality of attributes of a failed application, wherein the plurality of attributes comprises at least one policy context attribute and at least one context attribute, correlating each of the plurality of attributes to at least one alternative asset, wherein the at least one alternative asset is a part of an environment on which the failed application can be executed, using the plurality of attributes correlated to the at least one alternative asset to identify an alternative asset set of alternative assets, wherein the alternative asset set is capable of enabling an alternative environment on which to execute the failed application, and provisioning the alternative assets in the alternative asset set from at least one cloud network to create the alternative environment on which the failed application is executed.

Abstract: A plurality of user interactions in a baseline computing system are intercepted and recorded, in an artifact file, with a benchmarking tool. The recorded user interactions from the artifact file are replayed and injected to a software stack of a system under test (whose performance is to be compared to the baseline system), using the benchmarking tool. During the replay, screen updates in the system under test are sequentially compared with expected screen images from the artifact file, until a match is observed in a given case. A response time associated with each of the matches is recorded.

Abstract: A system and method for transforming a legacy device into a virtualized environment includes gathering profiling data over time to represent legacy device activities and analyzing the profiling data for system applications and user applications using a processor to determine usage frequency and resource requirements of at least one application. Captured user action events are benchmarked to simulate a user workload for the at least one application to determine how resource utilization and execution times scale from a legacy environment to a virtualized environment. One or more scaling factors are determined to produce a plan to provision for legacy services in the virtualized environment. The legacy system is transformed into the virtualized environment in accordance with the plan.

Abstract: A shared resource system, method of updating client displays and computer program products therefor. At least one client device locally displays activity with resources shared with the client device. A management system on provider computers that is providing resources shared by the client devices selectively generates prioritized display updates. The management system provides updates to respective client devices according to update priority. Updates may also be ordered for network load balancing.

Abstract: A system and method for allocating resources in a cloud environment includes determining permitted usage of virtual machines and partitioning resources between network servers in accordance with a virtual hypervisor generated in accordance with an abstraction layer configured as an interface between a solution manager and an interface to a cloud network. Resource usage limits are determined for each virtual machine associated with the virtual hypervisor, and the servers are analyzed through the virtual hypervisors to determine if the virtual machines need to be migrated. If reallocation is needed, virtual machine migration requests are issued to migrate virtual machines into a new configuration at the virtual hypervisor abstraction level. The servers are reanalyzed to determine if migration of the new configuration is needed. Shares are computed to enforce balance requirements, and virtual machine shares and limits are adjusted for resources according to the computed shares.

Abstract: Techniques include accessing predetermined utility of customers based on customer types and qualities. The qualities are based at least on previously identified non-functional characteristics of services that influence decisions of the customers in buying the services from a service provider. Based at least on the accessed predetermining utility, quality-price pairs are determined to create a predetermined amount of profit for the service provider assuming the service provider offers the services to a customer having the customer type at a level of quality corresponding to an associated one of the qualities in a pair and for the corresponding price in the pair. Each quality in the pairs corresponds to one of the customer types. Determining the price-quality pairs further includes mapping one or more of the service-related characteristics to one or more information technology resources in response to the service-related characteristic being dependent on one or more other service-related characteristics.