Abstract: Systems, methods and tools directed toward point-based license sharing mechanism that allows resource providers to dynamically control the computing resources each customer consumes by assigning point values to the license agreements between the customers and resource providers. Customers can select the amount of available points in a personalized license agreement and instead of using a “pay as you go” model, the customer upgrades and downgrades resources and services through point transfers which convert points into the resources Using the point-based conversions, customers have greater control over each license without inadvertently spending more money than expected on resources because the resources are limited to the available points in the license agreement, unless the licenses are purposefully upgraded by user.

Abstract: Systems, methods and tools directed toward point-based license sharing mechanism that allows resource providers to dynamically control the computing resources each customer consumes by assigning point values to the license agreements between the customers and resource providers. Customers can select the amount of available points in a personalized license agreement and instead of using a “pay as you go” model, the customer upgrades and downgrades resources and services through point transfers which convert points into the resources Using the point-based conversions, customers have greater control over each license without inadvertently spending more money than expected on resources because the resources are limited to the available points in the license agreement, unless the licenses are purposefully upgraded by user.

Abstract: An approach for querying and managing/manipulating network computing resources (e.g., cloud computing resources) is provided. Typically, an interpreter component may be implemented so that a language describing such computing resources may be interpreted. The interpreter component may include other components such as a request processor, a provisioning queue, an execution engine, a results store, and response marshaller/handler that collaborate to manage the computing resources. Such computing resources may, for example, include virtual machine instances, virtual machine images, storage volumes, network resources, files, software bundles, etc.

Abstract: An approach for querying and managing/manipulating network computing resources (e.g., cloud computing resources) is provided. Typically, an interpreter component may be implemented so that a language describing such computing resources may be interpreted. The interpreter component may include other components such as a request processor, a provisioning queue, an execution engine, a results store, and response marshaller/handler that collaborate to manage the computing resources. Such computing resources may, for example, include virtual machine instances, virtual machine images, storage volumes, network resources, files, software bundles, etc.