Methods and systems for establishing a cloud bridge between two virtual storage resources and for transmitting data from one first virtual storage resource to the other virtual storage resource The system can include a first virtual storage resource or cloud, and a storage delivery management service that executes on a computer and within the first virtual storage resource The storage delivery management service can receive user credentials of a user that identify a storage adapter Upon receiving the user credentials, the storage delivery management service can invoke the storage adapter which executes an interface that identifies a second virtual storage resource and includes an interface translation file The storage delivery management service accesses the second virtual storage resource and establishes a cloud bridge with the second virtual storage resource using information obtained from the second virtual storage resource and information translated by the storage adapter using the interface translation file

Systems and methods for establishing a cloud bridge between virtual storage resources

An architecture and methodology for designing, deploying, and managing a distributed application onto a distributed computing system is described.

Architecture for distributed computing system and automated design, deployment, and management of distributed applications

A system and method for filtering and organizing items from computer memories based on common elements. In accordance with one aspect of the invention, filters are provided for manipulating the items. The filters are essentially tools for narrowing down a set of items. In one embodiment, the filters are dynamically generated based on the properties of the separate items. The system utilizes virtual folders. The virtual folders expose regular files and folders to users in different views based on their metadata instead of the actual physical underlying file system structure on the disk. In accordance with another aspect of the invention, quick links are provided. In one embodiment, quick links are a set of predefined links (e.g., located on the left side of the display) that can be clicked on to generate useful views of the sets of items. In accordance with another aspect of the invention, libraries are provided. Libraries consist of large groups of usable types of items that can be associated together.

System and method for filtering and organizing items based on common elements

Methods and apparatus of the various embodiments allow the coordination of resources of devices to jointly execute tasks or perform actions on one of the devices. In the method, a first gesture input is received at a first mobile computing device. A second gesture input is received at a second mobile computing device. In response, a determination is made as to whether the second gesture is accepted at the initiating device. If it is determined that the second gesture inputs is accepted, then resources of the devices are combined to jointly execute a particular task associated with the shared resources.

Distributed sensing techniques for mobile devices

Techniques are disclosed for controlling and managing virtual machines and other such virtual systems. VM execution approval is based on compliance with policies controlling various aspects of VM. The techniques can be employed to benefit all virtual environments, such as virtual machines, virtual appliances, and virtual applications. For ease of discussion herein, assume that a virtual machine (VM) represents each of these environments. In one particular embodiment, a systems management partition (SMP) is created inside the VM to provide a persistent and resilient storage for management information (e.g., logical and physical VM metadata). The SMP can also be used as a staging area for installing additional content or agentry on the VM when the VM is executed. Remote storage of management information can also be used. The VM management information can then be made available for pre-execution processing, including policy-based compliance testing.

Compliance-based adaptations in managed virtual systems

In accordance with certain aspects of the design time validation of systems, a description of a system being designed and a description of an environment are received. Both of the received descriptions are used to validate the system against the environment while the system is being designed and prior to attempting to deploy the system.

Design time validation of systems

Model-based virtual system provisioning includes accessing a model of a workload to be installed on a virtual machine of a system as well as a model of the system. A workload refers to some computing that is to be performed, and includes an application to be executed to perform the computing, and optionally includes the operating system on which the application is to be installed. The workload model identifies a source of the application and operating system of the workload, as well as constraints of the workload, such as resources and/or other capabilities that the virtual machine(s) on which the workload is to be installed must have. An installation specification for the application is also generated, the installation specification being derived at least in part from the model of the workload and the model of the virtual system.

Model-based virtual system provisioning

Model-based system monitoring includes identifying multiple monitors configured to monitor multiple components in a system, and accessing multiple health models associated with the multiple monitors. A monitoring policy is generated to monitor the system. The monitoring policy is derived, at least in part, from the multiple health models.

Model-based system monitoring

A model of a system is generated and used as a basis for managing the system. As the system is managed, the system model can be updated to reflect changes to the system. Managing of the system can include one or more of provisioning applications in the system, provisioning applications in virtual systems, provisioning test environments, monitoring the configuration of the system, monitoring the system including the health of the system, performing capacity planning for the system, and propagating attributes to different components in the system.

Model-Based system management

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