Abstract: Managing power-consuming resources on a first computing device by adjusting data delivery from a plurality of second computing devices based on a state of the first computing device. The state of the first computing device is provided to the second computing devices to alter the data delivery. In some embodiments, the first computing device provides the second computing devices with actions or commands relating to data delivery based on the device state. For example, the second computing devices are instructed to store the data, forward the data, forward only high priority data, or perform other actions. Managing the data delivery from the second computing devices preserves battery life of the first computing device.

Abstract: Managing power-consuming resources on a first computing device by adjusting data delivery from a plurality of second computing devices based on a state of the first computing device. The state of the first computing device is provided to the second computing devices to alter the data delivery. In some embodiments, the first computing device provides the second computing devices with actions or commands relating to data delivery based on the device state. For example, the second computing devices are instructed to store the data, forward the data, forward only high priority data, or perform other actions. Managing the data delivery from the second computing devices preserves battery life of the first computing device.

Abstract: Managing power-consuming resources on a first computing device by adjusting data delivery from a plurality of second computing devices based on a state of the first computing device. The state of the first computing device is provided to the second computing devices to alter the data delivery. In some embodiments, the first computing device provides the second computing devices with actions or commands relating to data delivery based on the device state. For example, the second computing devices are instructed to store the data, forward the data, forward only high priority data, or perform other actions. Managing the data delivery from the second computing devices preserves battery life of the first computing device.

Abstract: Combining network connection maintenance operations that use a resource to extend battery life. Each of the network connections has a timer and a defined tolerance for early connection maintenance. After receiving notification of an event, the network connections are accessed to identify the connections for which a maintenance operation may be performed early based on the timer and the tolerance. In an embodiment, the maintenance operation includes sending a transmission control protocol (TCP) keep-alive packet on the connection.

Abstract: Coalescing schedules that use a resource to extend battery life. Each of the schedules is defined to execute at a recurrent activation time within a defined tolerance. After receiving notification of an event, the schedules are accessed to identify the schedules that may be executed early based on their activation time and tolerance. The identified schedules are aggregated for execution.

Abstract: Managing power-consuming resources on a first computing device by adjusting data delivery from a plurality of second computing devices based on a state of the first computing device. The state of the first computing device is provided to the second computing devices to alter the data delivery. In some embodiments, the first computing device provides the second computing devices with actions or commands relating to data delivery based on the device state. For example, the second computing devices are instructed to store the data, forward the data, forward only high priority data, or perform other actions. Managing the data delivery from the second computing devices preserves battery life of the first computing device.

Abstract: Managing recurrent schedules based on events and conditions. Schedules from a plurality of applications are identified based on an activation time for the schedules and a determination of whether or not conditions defined for the schedules are met. The identified schedules are activated by performing actions associated with each of the identified schedules. In an embodiment, the schedules are grouped based on functionality and prioritized to avoid conflicts within each group.

Abstract: Combining network connection maintenance operations that use a resource to extend battery life. Each of the network connections has a timer and a defined tolerance for early connection maintenance. After receiving notification of an event, the network connections are accessed to identify the connections for which a maintenance operation may be performed early based on the timer and the tolerance. In an embodiment, the maintenance operation includes sending a transmission control protocol (TCP) keep-alive packet on the connection.

Abstract: Managing power-consuming resources on a first computing device by adjusting data delivery from a plurality of second computing devices based on a state of the first computing device. The state of the first computing device is provided to the second computing devices to alter the data delivery. In some embodiments, the first computing device provides the second computing devices with actions or commands relating to data delivery based on the device state. For example, the second computing devices are instructed to store the data, forward the data, forward only high priority data, or perform other actions. Managing the data delivery from the second computing devices preserves battery life of the first computing device.

Abstract: Combining network connection maintenance operations that use a resource to extend battery life. Each of the network connections has a timer and a defined tolerance for early connection maintenance. After receiving notification of an event, the network connections are accessed to identify the connections for which a maintenance operation may be performed early based on the timer and the tolerance. In an embodiment, the maintenance operation includes sending a transmission control protocol (TCP) keep-alive packet on the connection.

Abstract: Managing power-consuming resources on a first computing device by time-based and condition-based scheduling of data delivery from a plurality of second computing devices. A scheduler executing on the first computing device has knowledge of recurrent schedules for activation by the second computing devices. The first computing device determines availability of the power-consuming resources and adjusts an activation time for the schedules to use the power-consuming resources when the resources are available. Managing the schedules associated with the second computing devices preserves battery life of the first computing device.

Abstract: Two or more sets of measurement data can be independently collected from causally related characteristics or elements. Such measurements can be synchronized with one another through the identification of a correct offset between their measurement data. An identification of the nature of the causal relationship between the measured characteristics can identify relevant ranges within which the aggregate values of one of the measurements can be obtained. As the offset between the measurements is adjusted, the aggregate values can change and a derivative, or other meaningful function based on the aggregate values can be calculated. The meaningful function, or subsequent functional result of it, can inform a range of offsets within which a local extreme value can be identified. The offset corresponding to such a local extreme value can be the correct offset.

Abstract: Managing power-consuming resources on a first computing device by time-based and condition-based scheduling of data delivery from a plurality of second computing devices. A scheduler executing on the first computing device has knowledge of recurrent schedules for activation by the second computing devices. The first computing device determines availability of the power-consuming resources and adjusts an activation time for the schedules to use the power-consuming resources when the resources are available. Managing the schedules associated with the second computing devices preserves battery life of the first computing device.

Abstract: Managing power-consuming resources on a first computing device by adjusting data delivery from a plurality of second computing devices based on a state of the first computing device. The state of the first computing device is provided to the second computing devices to alter the data delivery. In some embodiments, the first computing device provides the second computing devices with actions or commands relating to data delivery based on the device state. For example, the second computing devices are instructed to store the data, forward the data, forward only high priority data, or perform other actions. Managing the data delivery from the second computing devices preserves battery life of the first computing device.

Abstract: Combining network connection maintenance operations that use a resource to extend battery life. Each of the network connections has a timer and a defined tolerance for early connection maintenance. After receiving notification of an event, the network connections are accessed to identify the connections for which a maintenance operation may be performed early based on the timer and the tolerance. In an embodiment, the maintenance operation includes sending a transmission control protocol (TCP) keep-alive packet on the connection.

Abstract: Managing recurrent schedules based on events and conditions. Schedules from a plurality of applications are identified based on an activation time for the schedules and a determination of whether or not conditions defined for the schedules are met. The identified schedules are activated by performing actions associated with each of the identified schedules. In an embodiment, the schedules are grouped based on functionality and prioritized to avoid conflicts within each group.

Abstract: Coalescing schedules that use a resource to extend battery life. Each of the schedules is defined to execute at a recurrent activation time within a defined tolerance. After receiving notification of an event, the schedules are accessed to identify the schedules that may be executed early based on their activation time and tolerance. The identified schedules are aggregated for execution.

Abstract: Two or more sets of measurement data can be independently collected from causally related characteristics or elements. Such measurements can be synchronized with one another through the identification of a correct offset between their measurement data. An identification of the nature of the causal relationship between the measured characteristics can identify relevant ranges within which the aggregate values of one of the measurements can be obtained. As the offset between the measurements is adjusted, the aggregate values can change and a derivative, or other meaningful function based on the aggregate values can be calculated. The meaningful function, or subsequent functional result of it, can inform a range of offsets within which a local extreme value can be identified. The offset corresponding to such a local extreme value can be the correct offset.