A method and system for transmission management of Internet of Things (IoT) device data. A method includes receiving polling data from the one or more devices available in the network based at least in part on one or more adaptable device configuration templates stored in a template library, and determining a number of active devices available in the network and data provided by the active devices based on the received polling data and the corresponding adaptable device configuration template. A method includes generating one or more configurable data packets for transmission over the communication channel to the IoT platform, identifying variations in device configurations by comparing the one or more adaptable device configuration templates stored in the template library with the received polling data, and modifying the corresponding adaptable device configuration template based on the identified variations.

Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

A computer-implemented method according to one embodiment includes identifying that a direct communications connection exists between a first device and a second device; and optimizing information transmitted between the first device and the second device over the direct communications connection.

The Cloud-based Video Streaming Service (CVSS) architecture is disclosed to transcode video streams in an on-demand manner. The architecture provides a platform for streaming service providers to utilize cloud resources in a cost-efficient manner and with respect to the Quality of Service (QoS) demands of video streams. In particular, the architecture includes a QoS-aware scheduling method to efficiently map video streams to cloud resources, and a cost-aware dynamic (i.e., elastic) resource provisioning policy that adapts the resource acquisition with respect to the video streaming QoS demands. Simulation results based on realistic cloud traces and with various workload conditions, demonstrate that the CVSS architecture can satisfy video streaming QoS demands and reduces the incurred cost of stream providers up to 70%.

A digital communication module for a self-contained medical device communication platform is disclosed herein. In an example, a digital communication module is communicatively coupled to a therapy module of a medical device for relaying medical device data to an electronic medical record (“EMR”) server that is connected to a medical network. The digital communication module is connected to at least one other digital communication module via a wireless proprietary network that is separate from the medical network. The digital communication module determines that the medical device data from the medical device is to be transmitted, via the wireless proprietary network, to one of the other digital communication modules that is connected to the EMR server via the medical network. The other of the digital communication modules receives, and then routes the medical device data to the EMR server via the medical network.

Exemplary methods include a processor executing instructions stored in a memory for generating an electronic count-in, binding it to a first performance to generate a master clock and transmitting a first musician's first performance and first timing information to a network caching, storage, timing and mixing module. The first musician's first performance may be recorded locally at full resolution and transmitted to a full resolution media server and the first timing information may be transmitted to the master clock. The first musician's first performance is transmitted to a sound device of a second musician and the second musician creates a second performance, transmits it and second timing information to a network caching, storage, timing and mixing module. The first and second performances are mixed along with the first and the second timing information to generate a first mixed audio, which can be transmitted to a sound device of a third musician.

A packet sending method includes, when a network element in a serial network receives a to-be-forwarded packet at a previous node from a previous network element, and when the network element needs to send a to-be-sent packet at a current node, determining whether the to-be-sent packet at the current node and the to-be-forwarded packet at the previous node can be superimposed, where the network element is an intermediate network element in the serial network; when the to-be-sent packet at the current node and the to-be-forwarded packet at the previous node can be superimposed, superimposing the to-be-sent packet at the current node and the to-be-forwarded packet at the previous node, to obtain a to-be-forwarded packet at the current node; and sending the to-be-forwarded packet at the current node to a next network element of the network element.

A packet sending method includes, when a network element in a serial network receives a to-be-forwarded packet at a previous node from a previous network element, and when the network element needs to send a to-be-sent packet at a current node, determining whether the to-be-sent packet at the current node and the to-be-forwarded packet at the previous node can be superimposed, where the network element is an intermediate network element in the serial network; when the to-be-sent packet at the current node and the to-be-forwarded packet at the previous node can be superimposed, superimposing the to-be-sent packet at the current node and the to-be-forwarded packet at the previous node, to obtain a to-be-forwarded packet at the current node; and sending the to-be-forwarded packet at the current node to a next network element of the network element.

The disclosure relates to a data acquisition device for mobile devices, having a processing unit and a memory unit. The data acquisition unit includes a communications module for transmitting acquired data to a backend server, and a bus interface for receiving messages transmitted via an internal communications bus of the mobile device. The processing unit is configured to use the data received in the messages to form a data series, and to store the data series in the memory unit. In order to reduce the memory required, the processing unit is configured to conduct a preliminary analysis of the stored data series to extract at least one region of interest of the data series and transfer the same to the communications module, which is configured to transmit the at least one extracted region of the data series to the backend server. This procedure is equivalent to data aggregation.