Abstract: A hardware and/or software facility for durably and securely storing data within a shared community storage network. A user may have a storage device that they intend to share with others in the network. All or a portion of the storage device is registered with the community storage network as a storage node. Once registered with the network, third party data may be stored on the storage node and remotely accessed by third parties. In addition, data stored on the storage device by the user may be stored in the shared community storage network by encrypting the data, adding redundancy, and distributing it to other storage nodes within the storage network. Data that is stored in the storage network is accessible to the user even if their storage device is inaccessible or fails.

Abstract: A controller, referred to as the “BMonitor”, is situated on a computer. The BMonitor includes a plurality of filters that identify where data can be sent to and/or received from, such as another node in a co-location facility or a client computer coupled to the computer via the Internet. The BMonitor further receives and implements requests from external sources regarding the management of software components executing on the computer, allowing such external sources to initiate, terminate, debug, etc. software components on the computer. Additionally, the BMonitor operates as a trusted third party mediating interaction among multiple external sources managing the computer.

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

Abstract: 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.

Abstract: Model-based system monitoring includes accessing a model of a system that includes multiple components and identifying relationships among the multiple components based on the model of the system. A proposed change to at least one of the multiple components is identified. A determination is made regarding an expected impact on the system caused by the proposed change. This determination is made, at least in part, based on the model of the system.

Abstract: Model-based system provisioning includes accessing a model of an application to be installed in a system and further accessing a model of the system. An installation specification for the application is also generated, the installation specification being derived at least in part from the model of the application and the model of the system.

Abstract: A multi-tiered server management architecture is employed including an application development tier, an application operations tier, and a cluster operations tier. In the application development tier, applications are developed for execution on one or more server computers. In the application operations tier, execution of the applications is managed and sub-boundaries within a cluster of servers can be established. In the cluster operations tier, operation of the server computers is managed without concern for what applications are executing on the one or more server computers and boundaries between clusters of servers can be established. The multi-tiered server management architecture can also be employed in co-location facilities where clusters of servers are leased to tenants, with the tenants implementing the application operations tier and the facility owner (or operator) implementing the cluster operations tier.

Abstract: A multi-tiered server management architecture is employed including an application development tier, an application operations tier, and a cluster operations tier. In the application development tier, applications are developed for execution on one or more server computers. In the application operations tier, execution of the applications is managed and sub-boundaries within a cluster of servers can be established. In the cluster operations tier, operation of the server computers is managed without concern for what applications are executing on the one or more server computers and boundaries between clusters of servers can be established. The multi-tiered server management architecture can also be employed in co-location facilities where clusters of servers are leased to tenants, with the tenants implementing the application operations tier and the facility owner (or operator) implementing the cluster operations tier.

Abstract: In accordance with certain aspects of the model-based policy application, each of a plurality of policies is associated with appropriate parts of a model of a heterogeneous system. A deployment agent is invoked to apply each of the plurality of policies to components associated with the parts of the model. An identification of a change to one of the plurality of policies is received, and the deployment agent is also invoked to apply the changed policy to selected ones of the components associated with the parts of the model.

Abstract: A storage device configured to join a shared community storage network. All or a portion of the storage device is registered with the community storage network as a storage node. Once registered with the network, third party data may be stored on the storage node and remotely accessed by third parties. In addition, data stored on the storage device by a user may be stored in the shared community storage network by encrypting the data, adding redundancy, and distributing it to other storage nodes within the storage network. Data that is stored in the storage network is accessible to the user even if their storage device is inaccessible or fails. The user may receive economic or non-economic incentives for allowing the storage device to join the shared community storage network.

Abstract: A hardware and/or software facility for durably and securely storing data within a shared community storage network. A user may have a storage device that they intend to share with others in the network. All or a portion of the storage device is registered with the community storage network as a storage node. Once registered with the network, third party data may be stored on the storage node and remotely accessed by third parties. In addition, data stored on the storage device by the user may be stored in the shared community storage network by encrypting the data, adding redundancy, and distributing it to other storage nodes within the storage network. Data that is stored in the storage network is accessible to the user even if their storage device is inaccessible or fails.

Abstract: A design tool includes a service definition model to enable abstract description of distributed computing systems and distributed applications. The design tool also includes a schema to dictate how functional operations within the service definition model are to be specified. The functional operations include design of distributed applications, deployment of distributed applications, and management of distributed applications.

Abstract: Various technologies and techniques are disclosed for processing identity constraints in a relational database. Values are extracted from an XML document during a submit operation. References that potentially participate in an identity constraint are identified. The reference information is stored. An identity constraint graph is generated from the stored reference information. Techniques for facilitating key-sequence comparisons are described. Techniques for identifying violations to identity constraints are described. Techniques for identifying which identity constraint graphs are affected by a new or changed document are described.

Abstract: A multi-tiered server management architecture is employed including an application development tier, an application operations tier, and a cluster operations tier. In the application development tier, applications are developed for execution on one or more server computers. In the application operations tier, execution of the applications is managed and sub-boundaries within a cluster of servers can be established. In the cluster operations tier, operation of the server computers is managed without concern for what applications are executing on the one or more server computers and boundaries between clusters of servers can be established. The multi-tiered server management architecture can also be employed in co-location facilities where clusters of servers are leased to tenants, with the tenants implementing the application operations tier and the facility owner (or operator) implementing the cluster operations tier.

Abstract: A modeling system permits developers of applications for distributed computer system, such as those used in server data centers or Internet data centers (IDCs), to architect their hardware and software in an abstract manner. The modeling system defines a set of components that represent abstract functional operations of the application that will eventually be physically implemented by one or more computers and one or more software programs executing on the computers. Associated with the model components is a schema that dictates how the functional operations are to be specified. From the model components, the developers can create logical, scale-independent models of the applications that may be implemented by the distributed computer system. The application is scale-independent in that the application is invariant in respect to the number of computers and software programs that my eventually be used to implement it.

Abstract: A multi-tiered server management architecture is employed including an application development tier, an application operations tier, and a cluster operations tier. In the application development tier, applications are developed for execution on one or more server computers. In the application operations tier, execution of the applications is managed and sub-boundaries within a cluster of servers can be established. In the cluster operations tier, operation of the server computers is managed without concern for what applications are executing on the one or more server computers and boundaries between clusters of servers can be established. The multi-tiered server management architecture can also be employed in co-location facilities where clusters of servers are leased to tenants, with the tenants implementing the application operations tier and the facility owner (or operator) implementing the cluster operations tier.

Abstract: Enforcing policy in a multi-computer service application is described. In one aspect, a scale-independent logical model of an application is generated. The application is for implementation in a distributed computing system. The scale-independent logical model includes multiple components representing logical functions of the application and intercommunication protocols. The model components are converted into one or more instances representative of physical resources used to implement the logical functions. The instances specify information such as communication ports on the physical resources and communication paths that link the physical resources.

Abstract: A platform for remotely installing an operating system on a client machine includes a builder engine, for instance running on a support server. The builder engine may interrogate a remote client, for instance a diskless thin client or a machine having a disk but malfunctioning, and receive a machine state image from that machine. The builder engine may then assemble a customized image or kernel of an operating system such as Microsoft Windows™ for transmission to the client. A file system may be initialized in electronic memory, or otherwise and the machine may commence operation, without having executed an operating system setup process. In embodiments, the client machine may then link to a complete image of an operating system to reinstall a comprehensive version of that system, or perform other tasks.

Abstract: A multi-tiered server management architecture is employed including an application development tier, an application operations tier, and a cluster operations tier. In the application development tier, applications are developed for execution on one or more server computers. In the application operations tier, execution of the applications is managed and sub-boundaries within a cluster of servers can be established. In the cluster operations tier, operation of the server computers is managed without concern for what applications are executing on the one or more server computers and boundaries between clusters of servers can be established. The multi-tiered server management architecture can also be employed in co-location facilities where clusters of servers are leased to tenants, with the tenants implementing the application operations tier and the facility owner (or operator) implementing the cluster operations tier.

Abstract: In accordance with certain aspects of the model-based policy application, each of a plurality of policies is associated with appropriate parts of a model of a heterogeneous system. A deployment agent is invoked to apply each of the plurality of policies to components associated with the parts of the model. An identification of a change to one of the plurality of policies is received, and the deployment agent is also invoked to apply the changed policy to selected ones of the components associated with the parts of the model.