Abstract: Information indicating a source of electric current can be transmitted alongside or within the electric current itself, enabling downstream recipients to identify a source of their electricity. The information may be embedded directly into the electric current, such as by adding a modulated carrier signal to an alternating current before transmitting the current to a downstream recipient.

Abstract: Information indicating a source of electric current can be received alongside or detected within the electric current itself, enabling recipients to identify a source of their electricity. The information may be determined based on analysis of the received electric current, such as by detecting a modulated carrier signal embedded within a received alternating current.

Abstract: An embodiment includes analyzing data associated with an original flow graph comprising a plurality of operators of a stream computing application, including identifying a secure network connection between a first operator and a second operator that uses encryption. The embodiment fuses the first operator with the second operator such that a first logical function of the first operator is combined with a second logical function of the second operator. The embodiment then generates a modified flow graph as a modification of the original flow graph that combines the first operator and the second operator and lacks encryption between the first operator and the second operator.

Abstract: An embodiment includes determining, in response to receiving data at a source node for transmission as streaming data on a network, whether a characteristic of the data indicates that an attribute of the data includes sensitive information. The embodiment also includes calculating, responsive to determining that the attribute includes sensitive information, an entropy value for the attribute. The embodiment also includes determining, responsive to the calculating of the entropy value, a likelihood that the attribute is encrypted by comparing the entropy value to a threshold value. The embodiment also includes generating a parameter value for a cryptographic parameter for the attribute.

Abstract: A stream of tuples is processed by a stream application. The stream application includes a plurality of processing elements that operate on one or more compute nodes, each processing element includes one or more stream operators. One or more databases that are capable of communicating with the stream application are monitored during the processing of the stream of tuples. A potential performance condition of a first database of the one or more databases is detected based on the monitoring. An output adjustment is performed, in response to the potential performance condition.

Abstract: Provided is a method for disabling encryption of data in motion in response to an event. The method includes a service processing data. The service may process the data while in a public mode, in which the service is configured to encrypt data in motion. The method further comprises detecting an event that triggers the service to go into a protected mode. The method further comprises isolating the service from one or more public systems in response to detecting the event. The method further comprises deactivating encryption of data in motion, and processing the data without encrypting the data while in motion.

Abstract: An embodiment includes determining, in response to receiving data at a source node for transmission as streaming data on a network, whether a characteristic of the data indicates that an attribute of the data includes sensitive information. The embodiment also includes calculating, responsive to determining that the attribute includes sensitive information, an entropy value for the attribute. The embodiment also includes determining, responsive to the calculating of the entropy value, a likelihood that the attribute is encrypted by comparing the entropy value to a threshold value. The embodiment also includes generating a parameter value for a cryptographic parameter for the attribute.

Abstract: An embodiment includes monitoring a distributed computing application at runtime for occurrence of a condition, where the condition includes occurrence of a degradation condition on a processing element (PE). The embodiment also includes starting a provisional PE on a second node at runtime while maintaining runtime operation of the PE. The embodiment compares operation of the PE to operation of the provisional PE based on a performance metric associated with the computing resource. The embodiment connects the provisional PE to replace the stream of tuples from the PE to a downstream PE with a stream of tuples from the provisional PE to the downstream PE.

Abstract: An embodiment includes analyzing data associated with an original flow graph comprising a plurality of operators of a stream computing application, including identifying a secure network connection between a first operator and a second operator that uses encryption. The embodiment fuses the first operator with the second operator such that a first logical function of the first operator is combined with a second logical function of the second operator. The embodiment then generates a modified flow graph as a modification of the original flow graph that combines the first operator and the second operator and lacks encryption between the first operator and the second operator.

Abstract: An embodiment includes monitoring a distributed computing application at runtime for occurrence of a condition, where the condition includes occurrence of a degradation condition on a processing element (PE). The embodiment also includes starting a provisional PE on a second node at runtime while maintaining runtime operation of the PE. The embodiment compares operation of the PE to operation of the provisional PE based on a performance metric associated with the computing resource. The embodiment connects the provisional PE to replace the stream of tuples from the PE to a downstream PE with a stream of tuples from the provisional PE to the downstream PE.

Abstract: Information indicating a source of electric current can be transmitted alongside or within the electric current itself, enabling downstream recipients to identify a source of their electricity. The information may be embedded directly into the electric current, such as by adding a modulated carrier signal to an alternating current before transmitting the current to a downstream recipient.

Abstract: Information indicating a source of electric current can be received alongside or detected within the electric current itself, enabling recipients to identify a source of their electricity. The information may be determined based on analysis of the received electric current, such as by detecting a modulated carrier signal embedded within a received alternating current.

Abstract: Provided is a method for disabling encryption of data in motion in response to an event. The method includes a service processing data. The service may process the data while in a public mode, in which the service is configured to encrypt data in motion. The method further comprises detecting an event that triggers the service to go into a protected mode. The method further comprises isolating the service from one or more public systems in response to detecting the event. The method further comprises deactivating encryption of data in motion, and processing the data without encrypting the data while in motion.

Abstract: A computer-implemented method includes exchanging device data, associated with a first participating user device, with the one or more second participating user devices; receiving audio data associated with a voice command; exchanging the audio data with the one or more second participating user devices; identifying, by the first participating user device, a voice command based on exchanging the audio data; determining which one of the first participating user device or the one or more second participating user devices should respond to the voice command based on details of the voice command and the exchanging the device data; responding to the voice command based on determining that the first participating user device should respond to the voice command; and signaling a particular second participating user device to respond to the voice command based on determining that the particular second participating user device should respond to the voice command.

Abstract: Managing a streaming environment of an operator graph by performing corrective actions based on a threshold of changes in state being reached. An operator graph includes states of information stored within a memory of a first processing element configured to process a set of tuples. The memory of the first processing element is monitored. A change in the information from a first state to a second state is identified, based on the monitoring. The change from the first state to the second state is recorded. A determination is made if the change from the first state to the second state has caused a threshold of changes between the states of the information to be reached. A corrective action is performed that modifies a configuration of the operator graph in response to the threshold of changes between the states of the information being reached.

Abstract: A stream of tuples to be processed by a plurality processing elements executing on two or more compute nodes is received. Each compute node stores one or more of the processing elements having one or more stream operators. It is determined whether an overhead parameter associated with a first streams service located at a first stream operator is outside of a first overhead criterion. The first streams service is ended at the first stream operator and a second streams service is instantiated at a second stream operator when the overhead parameter associated with the first streams service is outside of the first overhead criterion. The second stream operator is different from the first stream operator. The method may include determining whether the first streams service samples a first data attribute of tuples or measures performance.

Abstract: Techniques are described for eliminating backpressure in a distributed system by changing the rate data flows through a processing element. Backpressure occurs when data throughput in a processing element begins to decrease, for example, if new processing elements are added to the operating chart or if the distributed system is required to process more data. Indicators of backpressure (current or future) may be monitored. Once current backpressure or potential backpressure is identified, the operator graph or data rates may be altered to alleviate the backpressure. For example, a processing element may reduce the data rates it sends to processing elements that are downstream in the operator graph, or processing elements and/or data paths may be eliminated. In one embodiment, processing elements and associate data paths may be prioritized so that more important execution paths are maintained.

Abstract: A computer-implemented method includes exchanging device data, associated with a first participating user device, with the one or more second participating user devices; receiving audio data associated with a voice command; exchanging the audio data with the one or more second participating user devices; identifying, by the first participating user device, a voice command based on exchanging the audio data; determining which one of the first participating user device or the one or more second participating user devices should respond to the voice command based on details of the voice command and the exchanging the device data; responding to the voice command based on determining that the first participating user device should respond to the voice command; and signaling a particular second participating user device to respond to the voice command based on determining that the particular second participating user device should respond to the voice command.

Abstract: Streamlining a stream computing environment by distributing tuple attributes to associated operators in the environment involves receiving a stream of tuples for processing by one or more stream operators. A tuple in the stream of tuples is analyzed to identify one or more data attributes required by the one or more stream operators during processing. Each of the identified attributes is distributed to particular operators that require the identified attribute.

Abstract: Adjusting a computing environment for processing a data stream involves identifying one or more dummy tuples in the data stream processed by the computing environment. Propagation of the identified dummy tuples to be processed through a plurality of operators in the computing environment is controlled in order to control adjustment of the computing environment. The computing environment is adjusted based on the processing of the propagated dummy tuples.