Abstract: Magnetic stripe-based transaction enabled mobile communication device embodiments are presented which generally involve a mobile communication device which has been configured to perform transactions that heretofore were completed using a magnetic stripe found on magnetic-stripe cards. In one general embodiment, a mobile communication device generates magnetic stripe data which is used to perform a magnetic stripe-based transaction. To this end, the mobile communication device includes a magnetic stripe device and a computing device. The computing device stores the magnetic stripe data, and the magnetic stripe device is employed to transfer the stored magnetic stripe information so that it can be used to conduct transactions as if a traditional magnetic stripe card were being used.

Abstract: The described implementations relate to predictive computing device energy management. One implementation measures resource usage of a computing device that employs a power policy. This implementation also estimates resource usage of the computing device having at least one different power policy without actually running the at least one different power policy on the computing device.

Abstract: The claimed subject matter provides a system and/or a method that facilitates managing energy consumption with an energy sink device in order to reduce energy costs. An energy sink device can consume a portion of energy. An interface component can receive a portion of data related to at least one of a real time energy rate or a user presence. An energy manager can dynamically control the energy sink device for efficient consumption of the portion of energy for reduced energy costs based at least in part upon the evaluation of the portion of received data. The energy manager can leverage the real time energy rate and the user presence in order to employ at least one of a power on the energy sink device, a power off the energy sink device, or an adjust a setting for the energy sink device.

Abstract: The claimed subject matter provides a system and/or a method that facilitates managing energy consumption with an energy sink device in order to reduce energy costs. An energy sink device can consume a portion of energy. An interface component can receive a portion of data related to at least one of a real time energy rate or a user presence. An energy manager can dynamically control the energy sink device for efficient consumption of the portion of energy for reduced energy costs based at least in part upon the evaluation of the portion of received data. The energy manager can leverage the real time energy rate and the user presence in order to employ at least one of a power on the energy sink device, a power off the energy sink device, or an adjust a setting for the energy sink device.

Abstract: Energy management modeling and scheduling techniques are described for reducing the power consumed to execute an application on a multi-processor computing platform within a certain time period. In one embodiment, a sophisticated resource model which accounts for discrete operating modes for computing components/resources on a computing platform and transition costs for transitioning between each of the discrete modes is described. This resource model provides information for a specific heterogeneous multi-processor computing platform and an application being implemented on the platform in a form that can be processed by a selection module, typically utilizing an integer linear programming (ILP) solver or algorithm, to select a task schedule and operating configuration(s) for executing the application within a given time.