Abstract: Techniques for allocating computing resources to tasks include receiving first data and second data. The first data indicates a limit for unblocked execution by a processor of a set of at least one task that includes instructions for the processor. The second data indicates a maximum use of the processor by the set. It is determined whether a particular set of at least one task has exceeded the limit for unblocked execution based on the first data. If it is determined that the particular set has exceeded the limit, then execution of the particular set by the processor is blocked for a yield time interval based on the second data. These techniques can guarantee that no time-critical tasks of an embedded system on a specific-purpose device are starved for processor time by tasks of foreign applications also executed by the processor.

Abstract: Techniques for managing data in a distributed system include receiving first mobile data that includes non-routing data for a mobile node of multiple nodes in a distributed data system. The mobile node is associated with a first data item of multiple data items in the distributed data system. Non-routing data includes organizational data for data items in the distributed database or spatial data, or both. Spatial data includes at least one of a physical location, shape, size, and orientation. A non-topological relationship is determined between the first data item and a different second data item based on the non-routing data. Content is communicated with the mobile node based at least in part on the non-topological relationship. These techniques allow conservation of valuable network resources by communicating only data relevant to a recipient based on the spatial or organizational context of the communicating nodes.

Abstract: Techniques for allocating computing resources to tasks include receiving first data and second data. The first data indicates a limit for unblocked execution by a processor of a set of at least one task that includes instructions for the processor. The second data indicates a maximum use of the processor by the set. It is determined whether a particular set of at least one task has exceeded the limit for unblocked execution based on the first data. If it is determined that the particular set has exceeded the limit, then execution of the particular set by the processor is blocked for a yield time interval based on the second data. These techniques can guarantee that no time-critical tasks of an embedded system on a specific-purpose device are starved for processor time by tasks of foreign applications also executed by the processor.

Abstract: Techniques for allocating computing resources to tasks include receiving first data and second data. The first data indicates a limit for unblocked execution by a processor of a set of at least one task that includes instructions for the processor. The second data indicates a maximum use of the processor by the set. It is determined whether a particular set of at least one task has exceeded the limit for unblocked execution based on the first data. If it is determined that the particular set has exceeded the limit, then execution of the particular set by the processor is blocked for a yield time interval based on the second data. These techniques can guarantee that no time-critical tasks of an embedded system on a specific-purpose device are starved for processor time by tasks of foreign applications also executed by the processor.

Abstract: Techniques for allocating computing resources to tasks include receiving first data and second data. The first data indicates a limit for unblocked execution by a processor of a set of at least one task that includes instructions for the processor. The second data indicates a maximum use of the processor by the set. It is determined whether a particular set of at least one task has exceeded the limit for unblocked execution based on the first data. If it is determined that the particular set has exceeded the limit, then execution of the particular set by the processor is blocked for a yield time interval based on the second data. These techniques can guarantee that no time-critical tasks of an embedded system on a specific-purpose device are starved for processor time by tasks of foreign applications also executed by the processor.