Abstract: An exemplary method includes detecting a request to launch an application on a device, accessing metadata associated with the application over a network, using the metadata to determine whether sufficient resources are available to launch the application on the device, and performing at least one action based on said determination. The at least one action may include launching the application on the device when sufficient resources are available or blocking a launch of the application on the device when sufficient resources are not available. In certain embodiments, the method is performed by the device. In certain embodiments, the device includes a set-top box configured to access a media service over the network. Corresponding methods, systems, apparatuses, and computer-readable media are also disclosed.

Abstract: A computer-readable medium, computer-implemented method, and multi-channel user interface system are provided. In one embodiment, a computer-readable medium has instructions stored thereon that, when executed by a processor, cause the processor to perform a method. The instructions include providing source code and metadata for a base set of user interfaces, where the base set of user interfaces is capable of being executed on multiple channel. The metadata is capable of configuration for a specific channel. The configuration of metadata for a specific channel includes projecting one or more task flows from a task flow template and configuring one or more regions for each task flow.

Abstract: A system for implementing a failover policy includes a cluster infrastructure for managing a plurality of nodes, a high availability infrastructure for providing group and cluster membership services, and a high availability script execution component operative to receive a failover script and at least one failover attribute and operative to produce a failover domain. In addition, a method for determining a target node for a failover comprises executing a failover script that produces a failover domain, the failover domain having an ordered list of nodes, receiving a failover attribute and based on the failover attribute and failover domain, selecting a node upon which to locate a resource.

Abstract: A method and system for calculating pipeline integrity business risk score for a pipeline network is provided. The method includes a step of first calculating a structural risk score, an operational risk score and a commercial risk score for each pipeline segment in a pipeline network. The method further includes calculating pipeline integrity business risk score for each pipeline segment. The structural risk score, operational risk score, commercial risk score and pipeline integrity business risk score for each pipeline segment is rolled-up to calculate the respective risk scores of a pipeline network. The rolled-up risk scores are calculated by computing weight factors for each pipeline segment, relative risk scores weight of each pipeline segment and relative risk scores contribution of each pipeline segment. The system of the invention comprises executable files, dynamic linked libraries and risk score computing modules configured to display the risk scores using a dashboard.

Abstract: A high availability computing system includes a plurality of computer nodes (for example, a server system) connected by a first and a second network, wherein the computer nodes communicate with each other to detect server failure and transfer applications to other computer nodes on detecting server failure. The system incorporates methods of maintaining high availability in a server cluster having a plurality of nodes. A group communications service, a membership service and a system resource manager are instantiated on each node and the group communications service, the membership service and the system resource manager on each node communicate with other nodes to detect node failures and to transfer applications to other nodes on detecting node failure.

Abstract: In accordance with one embodiment of the present invention, there is provided a mechanism for implementing transfer of arbitrary length messages between one or more machines in a computing environment comprised of a plurality of machines. With this mechanism, it is possible to send and receive messages of arbitrary length across memory-based or other interconnects using a single operation. In one embodiment, the machines are interconnected by a memory-mapped link. The memory-mapped link includes processes for mapping an image of a buffer allocated in the storage of the receiving machine into the addressing space of the sending machine. The sending machine may transfer the message to the memory of the receiving machine using a single write operation to the memory mapped image in the sending machine's own address space.

Abstract: A system for implementing a failover policy includes a cluster infrastructure for managing a plurality of nodes, a high availability infrastructure for providing group and cluster membership services, and a high availability script execution component operative to receive a failover script and at least one failover attribute and operative to produce a failover domain. In addition, a method for determining a target node for a failover comprises executing a failover script that produces a failover domain, the failover domain having an ordered list of nodes, receiving a failover attribute and based on the failover attribute and failover domain, selecting a node upon which to locate a resource.

Abstract: A high availability computing system includes a plurality of computer nodes (for example, a server system) connected by a first and a second network, wherein the computer nodes communicate with each other to detect server failure and transfer applications to other computer nodes on detecting server failure. The system incorporates methods of maintaining high availability in a server cluster having a plurality of nodes. A group communications service, a membership service and a system resource manager are instantiated on each node and the group communications service, the membership service and the system resource manager on each node communicate with other nodes to detect node failures and to transfer applications to other nodes on detecting node failure.