Abstract: An electronic device is provided. The electronic device includes a display, a microphone, a memory, a communication circuitry, and a processor. The processor receives a voice input of a user via the microphone, displays a first response corresponding to the voice input on the display, receives a first user input, displays a user interface for changing at least one parameter associated with the voice input, in response to the first user input, receives a second user input via the user interface, and displays a second response corresponding to the voice input on the display based on a value of the at least one parameter, the value being selected by the second user input.

Abstract: An electronic device is provided. The electronic device includes a display, a microphone, a memory, a communication circuitry, and a processor. The processor receives a voice input of a user via the microphone, displays a first response corresponding to the voice input on the display, receives a first user input, displays a user interface for changing at least one parameter associated with the voice input, in response to the first user input, receives a second user input via the user interface, and displays a second response corresponding to the voice input on the display based on a value of the at least one parameter, the value being selected by the second user input.

Abstract: Described herein are techniques enabling the delivery of messages according to a desired delivery order in a software defined network. A desired delivery order for messages sent to multiple nodes in a cluster can be received. The cluster can be associated with a distributed application and the nodes in the cluster can be interconnected via the software defined network. The software defined network can be configured to deliver the messages according to the desired delivery order.

Abstract: Examples of reducing data in a network are disclosed. In one example implementation according to aspects of the present disclosure, method may include receiving, by a network device, data from a mapper system. The method may then include performing, by the network device, a reduction function on the data received from the mapper system to reduce the data. The method may also include transmitting, by the network device, the reduced data to a reducer system.

Abstract: A switch receives a data packet containing training information. The switch learns a classifier based on the training information in the data packet, the classifier useable to classify data into at least one category.

Abstract: Described herein are techniques enabling the prioritization of network traffic in a distributed processing system. Information may be received regarding a plurality of flows, each flow configured to travel from one node to another node in the distributed processing system. Each flow may comprise a segment of at least one job. A priority associated with each flow may be identified. A flow table modification message for each flow may be generated. The flow table modification message can include a timeout value and a priority value consistent with the priority associated with the flow.

Abstract: A switch receives a data packet containing training information. The switch learns a classifier based on the training information in the data packet, the classifier useable to classify data into at least one category.

Abstract: Described herein are techniques enabling the delivery of messages according to a desired delivery order in a software defined network. A desired delivery order for messages sent to multiple nodes in a cluster can be received. The cluster can be associated with a distributed application and the nodes in the cluster can be interconnected via the software defined network. The software defined network can be configured to deliver the messages according to the desired delivery order.

Abstract: Described herein are techniques enabling the prioritization of network traffic in a distributed processing system. Information may be received regarding a plurality of flows, each flow configured to travel from one node to another node in the distributed processing system. Each flow may comprise a segment of at least one job. A priority associated with each flow may be identified. A flow table modification message for each flow may be generated. The flow table modification message can include a timeout value and a priority value consistent with the priority associated with the flow.

Abstract: Examples of reducing data in a network are disclosed. In one example implementation according to aspects of the present disclosure, method may include receiving, by a network device, data from a mapper system. The method may then include performing, by the network device, a reduction function on the data received from the mapper system to reduce the data. The method may also include transmitting, by the network device, the reduced data to a reducer system.

Abstract: In one implementation, the data distribution system comprises a controller communicatively coupled to a network of devices, a topology engine, a stats engine, a data management engine, a flow engine, and a coordinator engine. In another implementation, a medium comprises a set of instructions executable by a processor to maintain network information, maintain a flow table associated with a flow rule, and provide the flow rule to a device of the network. In yet another implementation, a method for distribution of data on a network comprises maintaining network information associated with a set of nodes of a network, identifying a data write request to a data cluster, and modifying a destination of a network flow associated with the data write request based on the network information.