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32763results about "Resource allocation" patented technology

System and method for managing virtual servers

A management capability is provided for a virtual computing platform. In one example, this platform allows interconnected physical resources such as processors, memory, network interfaces and storage interfaces to be abstracted and mapped to virtual resources (e.g., virtual mainframes, virtual partitions). Virtual resources contained in a virtual partition can be assembled into virtual servers that execute a guest operating system (e.g., Linux). In one example, the abstraction is unique in that any resource is available to any virtual server regardless of the physical boundaries that separate the resources. For example, any number of physical processors or any amount of physical memory can be used by a virtual server even if these resources span different nodes. A virtual computing platform is provided that allows for the creation, deletion, modification, control (e.g., start, stop, suspend, resume) and status (i.e., events) of the virtual servers which execute on the virtual computing platform and the management capability provides controls for these functions. In a particular example, such a platform allows the number and type of virtual resources consumed by a virtual server to be scaled up or down when the virtual server is running. For instance, an administrator may scale a virtual server manually or may define one or more policies that automatically scale a virtual server. Further, using the management API, a virtual server can monitor itself and can scale itself up or down depending on its need for processing, memory and I / O resources. For example, a virtual server may monitor its CPU utilization and invoke controls through the management API to allocate a new processor for itself when its utilization exceeds a specific threshold. Conversely, a virtual server may scale down its processor count when its utilization falls. Policies can be used to execute one or more management controls. More specifically, a management capability is provided that allows policies to be defined using management object's properties, events and / or method results. A management policy may also incorporate external data (e.g., an external event) in its definition. A policy may be triggered, causing the management server or other computing entity to execute an action. An action may utilize one or more management controls. In addition, an action may access external capabilities such as sending notification e-mail or sending a text message to a telephone paging system. Further, management capability controls may be executed using a discrete transaction referred to as a “job.” A series of management controls may be assembled into a job using one or management interfaces. Errors that occur when a job is executed may cause the job to be rolled back, allowing affected virtual servers to return to their original state.

Conversational computing via conversational virtual machine

A conversational computing system that provides a universal coordinated multi-modal conversational user interface (CUI) (10) across a plurality of conversationally aware applications (11) (i.e., applications that “speak” conversational protocols) and conventional applications (12). The conversationally aware maps, applications (11) communicate with a conversational kernel (14) via conversational application APIs (13). The conversational kernel (14) controls the dialog across applications and devices (local and networked) on the basis of their registered conversational capabilities and requirements and provides a unified conversational user interface and conversational services and behaviors. The conversational computing system may be built on top of a conventional operating system and APIs (15) and conventional device hardware (16). The conversational kernel (14) handles all I/O processing and controls conversational engines (18). The conversational kernel (14) converts voice requests into queries and converts outputs and results into spoken messages using conversational engines (18) and conversational arguments (17). The conversational application API (13) conveys all the information for the conversational kernel (14) to transform queries into application calls and conversely convert output into speech, appropriately sorted before being provided to the user.
Owner:UNILOC 2017 LLC

Task distribution processing system and the method for subscribing computers to perform computing tasks during idle time

A computer executable "aggregate" task is processed by dividing it into subtasks and distributing the subtasks "on demand" to remotely located subscribing computers via a computer network. The aggregate task originates at a coordinating computer, coupled to one or more peripheral computers by appropriate communications links. The coordinating computer divides the aggregate task into multiple independent subtasks. Each peripheral computer begins to "subscribe" to the coordinating computer's aggregate task by obtaining an "idle time activation program" from the coordinating computer, and then installing the program locally. The idle time activation program which may include a screen saver, activates automatically when the subscribing computer is inactive. Continuing the subscription process, each peripheral computer requests a subtask from the coordinating computer. In response, the coordinating computer distributes different subtasks among the subscribing computers, completing the subscription process. The subscribing computers automatically work on their respective subtasks whenever they are idle, as directed by the local idle time activation program. When a subscribing computer completes its subtask, it transmits results back to the coordinating computer. When results of all subtasks have been received from subscribing computers, the coordinating computer compiles and stores these results, concluding the aggregate task.
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