Abstract: Deployment and servicing tasks associated with multi-tier, distributed applications, application environments and data centers are automated so that a person does not have to manually perform these tasks. All of the information describing and defining the distributed service is modeled and stored in a re-useable service template that can be used to drive an automated system to programmatically deploy and manage the service over time. Deployment and servicing of a distributed application can be automated using re-useable models that capture hardware and workload definitions. The re-useable models in the form of service templates enable delta-based servicing of the application. The service can be deployed to one or more physical machines, one or more virtual machines or to a combination thereof. A default deployment plan can be customized with instance-specific customizations of service parameters.

Abstract: Deployment and servicing tasks associated with multi-tier, distributed applications, application environments and data centers are automated so that a person does not have to manually perform these tasks. All of the information describing and defining the distributed service is modeled and stored in a re-useable service template that can be used to drive an automated system to programmatically deploy and manage the service over time. Deployment and servicing of a distributed application can be automated using re-useable models that capture hardware and workload definitions. The re-useable models in the form of service templates enable delta-based servicing of the application. The service can be deployed to one or more physical machines, one or more virtual machines or to a combination thereof. A default deployment plan can be customized with instance-specific customizations of service parameters.

Abstract: Deployment and servicing tasks associated with multi-tier, distributed applications, application environments and data centers are automated so that a person does not have to manually perform these tasks. All of the information describing and defining the distributed service is modeled and stored in a re-useable service template that can be used to drive an automated system to programmatically deploy and manage the service over time. Deployment and servicing of a distributed application can be automated using re-useable models that capture hardware and workload definitions. The re-useable models in the form of service templates enable delta-based servicing of the application. The service can be deployed to one or more physical machines, one or more virtual machines or to a combination thereof. A default deployment plan can be customized with instance-specific customizations of service parameters.

Abstract: Deployment and servicing tasks associated with multi-tier, distributed applications, application environments and data centers are automated so that a person does not have to manually perform these tasks. All of the information describing and defining the distributed service is modeled and stored in a re-useable service template that can be used to drive an automated system to programmatically deploy and manage the service over time. Deployment and servicing of a distributed application can be automated using re-useable models that capture hardware and workload definitions. The re-useable models in the form of service templates enable delta-based servicing of the application. The service can be deployed to one or more physical machines, one or more virtual machines or to a combination thereof. A default deployment plan can be customized with instance-specific customizations of service parameters.

Abstract: Deployment and servicing tasks associated with multi-tier, distributed applications, application environments and data centers are automated so that a person does not have to manually perform these tasks. All of the information describing and defining the distributed service is modeled and stored in a re-useable service template that can be used to drive an automated system to programmatically deploy and manage the service over time. Deployment and servicing of a distributed application can be automated using re-useable models that capture hardware and workload definitions. The re-useable models in the form of service templates enable delta-based servicing of the application. The service can be deployed to one or more physical machines, one or more virtual machines or to a combination thereof. A default deployment plan can be customized with instance-specific customizations of service parameters.

Abstract: Deployment and servicing tasks associated with multi-tier, distributed applications, application environments and data centers are automated so that a person does not have to manually perform these tasks. All of the information describing and defining the distributed service is modeled and stored in a re-useable service template that can be used to drive an automated system to programmatically deploy and manage the service over time. Deployment and servicing of a distributed application can be automated using re-useable models that capture hardware and workload definitions. The re-useable models in the form of service templates enable delta-based servicing of the application. The service can be deployed to one or more physical machines, one or more virtual machines or to a combination thereof. A default deployment plan can be customized with instance-specific customizations of service parameters.

Abstract: Deployment and servicing tasks associated with multi-tier, distributed applications, application environments and data centers are automated so that a person does not have to manually perform these tasks. All of the information describing and defining the distributed service is modeled and stored in a re-useable service template that can be used to drive an automated system to programmatically deploy and manage the service over time. Deployment and servicing of a distributed application can be automated using re-useable models that capture hardware and workload definitions. The re-useable models in the form of service templates enable delta-based servicing of the application. The service can be deployed to one or more physical machines, one or more virtual machines or to a combination thereof. A default deployment plan can be customized with instance-specific customizations of service parameters.

Abstract: Deployment and servicing tasks associated with multi-tier, distributed applications, application environments and data centers are automated so that a person does not have to manually perform these tasks. All of the information describing and defining the distributed service is modeled and stored in a re-useable service template that can be used to drive an automated system to programmatically deploy and manage the service over time. Deployment and servicing of a distributed application can be automated using re-useable models that capture hardware and workload definitions. The re-useable models in the form of service templates enable delta-based servicing of the application. The service can be deployed to one or more physical machines, one or more virtual machines or to a combination thereof. A default deployment plan can be customized with instance-specific customizations of service parameters.

Abstract: Deployment and servicing tasks associated with multi-tier, distributed applications, application environments and data centers are automated so that a person does not have to manually perform these tasks. All of the information describing and defining the distributed service is modeled and stored in a re-useable service template that can be used to drive an automated system to programmatically deploy and manage the service over time. Deployment and servicing of a distributed application can be automated using re-useable models that capture hardware and workload definitions. The re-useable models in the form of service templates enable delta-based servicing of the application. The service can be deployed to one or more physical machines, one or more virtual machines or to a combination thereof. A default deployment plan can be customized with instance-specific customizations of service parameters.

Abstract: A management system for virtual applications may deploy sets of virtual applications to many client devices, dynamically allocate virtual application servers to individual clients, manage updates to the virtual applications, and provide other high level management to deployments of virtual applications. A client device may include a virtual application management client that may communicate with a management server. The management client may add or remove virtual applications to the client device based on a policy received from the management server, and may query the management server to determine a currently available virtual application distribution server when a virtual application is requested. The management server may distribute and manage versions of applications across one or more virtual application distribution servers.

Abstract: Deployment and servicing tasks associated with multi-tier, distributed applications, application environments and data centers are automated so that a person does not have to manually perform these tasks. All of the information describing and defining the distributed service is modeled and stored in a re-useable service template that can be used to drive an automated system to programmatically deploy and manage the service over time. Deployment and servicing of a distributed application can be automated using re-useable models that capture hardware and workload definitions. The re-useable models in the form of service templates enable delta-based servicing of the application. The service can be deployed to one or more physical machines, one or more virtual machines or to a combination thereof. A default deployment plan can be customized with instance-specific customizations of service parameters.

Abstract: A management system for virtual applications may deploy sets of virtual applications to many client devices, dynamically allocate virtual application servers to individual clients, manage updates to the virtual applications, and provide other high level management to deployments of virtual applications. A client device may include a virtual application management client that may communicate with a management server. The management client may add or remove virtual applications to the client device based on a policy received from the management server, and may query the management server to determine a currently available virtual application distribution server when a virtual application is requested. The management server may distribute and manage versions of applications across one or more virtual application distribution servers.

Abstract: A management system for virtual applications may deploy sets of virtual applications to many client devices by defining and distributing policies. The polices may define which client devices and/or users may permitted to access a virtual application from a server and how the virtual application may be used. A client device may include a virtual application management client that may communicate with a management server to retrieve and implement the policies. The management client may add or remove virtual applications to the client device based on a policy received from the management server. In some embodiments, policies may also be distributed and implemented on a virtual application server.

Abstract: A management system for virtual applications may deploy sets of virtual applications to many client devices, dynamically allocate virtual application servers to individual clients, manage updates to the virtual applications, and provide other high level management to deployments of virtual applications. A client device may include a virtual application management client that may communicate with a management server. The management client may add or remove virtual applications to the client device based on a policy received from the management server, and may query the management server to determine a currently available virtual application distribution server when a virtual application is requested. The management server may distribute and manage versions of applications across one or more virtual application distribution servers.

Abstract: Systems and methods for enhanced runtime hosting are described. In one aspect the runtime hosting interface includes a host abstraction interface. The HAI allowing the runtime to configure host execution environment parameters and/or notify the host of a runtime event. In particular, the host abstraction interface (HAI) corresponds to execution environment abstractions supported by a host application. Responsive to an action or event, the runtime invokes an identified HAI or an associated object during execution of runtime managed code.

Abstract: Systems and methods provide for the rewriting and transformation of a code unit through an extensible, composable, set of code rewriters that can be implemented at various phases throughout the development, deployment, and execution of the code unit. The described systems and methods provide a powerful way for program developers and system administrators to implement code transformations at different stages throughout the development, deployment, and execution of programs that is largely independent of such programs and does not significantly increase the complexity of the source programs, compilers, or execution environments.

Abstract: Systems and methods for enhanced runtime hosting are described. In one aspect the runtime hosting interface includes a host abstraction interface. The HAI allowing the runtime to configure host execution environment parameters and/or notify the host of a runtime event. In particular, the host abstraction interface (HAI) corresponds to execution environment abstractions supported by a host application. Responsive to an action or event, the runtime invokes an identified HAI or an associated object during execution of runtime managed code.