Abstract: Methods, systems and apparatus for determining a proposed cost for use of sensor resources and selecting a method of processing of sensed data are presented. Such a method includes the steps of: predicting a state of an environment, obtaining at least one criterion related to the use of the sensor resources comprising one or more data sensors, determining the proposed cost for use of the sensor resources, acquiring the sensed data from the one or more data sensors, determining a characteristic of the sensed data, and selecting the method of processing the sensed data according to the determined characteristic and the predicted state. The at least one criterion is based upon the predicted state. The determining of the proposed cost is based on the at least one criterion. One or more of steps are implemented on the processor device.

Abstract: A method includes parsing input from a requestor, where the input includes at least one of a query and a command that is parsed into a structured query having an indication of at least one data stream or set of data streams and at least one action to be performed on the at least one data stream or set of data streams. The method further includes mapping the structured query into a graph of processing elements that are selected and interconnected so as to execute the structured query; instantiating the graph of processing elements and connecting and initializing the instantiated graph of processing elements with an identified at least one data stream or set of data streams to receive data there from; and outputting a result of the structured query to the requestor.

Abstract: Methods, systems and apparatus for optimizing consumption of one or more resources are presented. For example, a method may be implemented on a processor device and includes obtaining user preferences for the consumption of resources that include water and electricity, predicting the consumption of, and a first metric for the consumption of, the resources for each of a plurality of first time periods, determining a projected second metric for the consumption of the resources during a second time period according to the predicted consumption and the predicted first metric, and optimizing the consumption of the resources according to the projected second metric and the user preferences. The second time period includes the plurality of first time periods. The first metric is associated with the user preferences and at least one of the plurality of first time periods. The second metric indicates full or partial projected attainment of the preferences during the second time period.

Abstract: A method includes parsing input from a requestor, where the input includes at least one of a query and a command that is parsed into a structured query having an indication of at least one data stream or set of data streams and at least one action to be performed on the at least one data stream or set of data streams. The method further includes mapping the structured query into a graph of processing elements that are selected and interconnected so as to execute the structured query; instantiating the graph of processing elements and connecting and initializing the instantiated graph of processing elements with an identified at least one data stream or set of data streams to receive data there from; and outputting a result of the structured query to the requestor.

Abstract: Methods, systems and apparatus for optimizing consumption of one or more resources are presented. For example, a method that may be implemented on a processor device and includes obtaining user preferences for the consumption of resources that include water and electricity, predicting the consumption of, and a first metric for the consumption of, the resources for each of a plurality of first time periods, determining a projected second metric for the consumption of the resources during a second time period according to the predicted consumption and the predicted first metric, and optimizing the consumption of the resources according to the projected second metric and the user preferences. The second time period includes the plurality of first time periods. The first metric is associated with the user preferences and at least one of the plurality of first time periods. The second metric indicates full or partial projected attainment of the preferences during the second time period.

Abstract: Methods, systems and apparatus for determining a proposed cost for use of sensor resources and selecting a method of processing of sensed data are presented. Such a method includes the steps of: predicting a state of an environment, obtaining at least one criterion related to the use of the sensor resources comprising one or more data sensors, determining the proposed cost for use of the sensor resources, acquiring the sensed data from the one or more data sensors, determining a characteristic of the sensed data, and selecting the method of processing the sensed data according to the determined characteristic and the predicted state. The at least one criterion is based upon the predicted state. The determining of the proposed cost is based on the at least one criterion. One or more of steps are implemented on the processor device.

Abstract: A method for operating a knowledge market is disclosed. The method for operating the knowledge market includes creating a knowledge base with a plurality of knowledge assets. A strike value is assigned to each of the knowledge assets. An earned value is calculated for each of the knowledge assets based on the corresponding usage of the knowledge asset.