Abstract: Virtual private network (VPN) service provider infrastructure (SPI) receives a request to access a VPN from a client device. The VPN SPI selects an Internet Protocol (IP) address for access to the VPN by the client device from a pool of IP addresses. The VPN SPI provides access to the VPN for the client device via the IP address. The VPN SPI receives one or more handshake notifications from the client device. The VPN SPI determines that a threshold time period has passed since a latest-in-time handshake notification of the one or more handshake notifications. The VPN SPI disconnects the client device from the VPN in response to determining that the threshold time period has passed. The VPN SPI adds the IP address to the pool of IP addresses in response to disconnecting the client device from the VPN.

Abstract: Disclosed is a technique that can be performed by a server computer system. The technique can include obtaining data from each of multiple endpoint devices to form global data. The global data can be generated by the endpoint devices in accordance with local instructions in each of the endpoint devices. The technique further includes generating global instructions based on the global data and sending the global instructions to a particular endpoint device. The global instructions configure the particular endpoint device to perform a data analytic operation that analyzes events. The events can include raw data generated by a sensor of the particular endpoint device.

Abstract: A method for providing data to a client computing device from an edge computing device is discussed herein. The method may include performing a network proximity check regarding the client computing device associated with a request for data captured by the wideband sensor. The method may further include determining, based on at least one proximity metric associated with the client computing device, a route for data responsive to the request for data associated with the network proximity check, where the route is one of a route including the cloud storage or a route that does not include the cloud storage. The method may also include receiving the request for data captured by the wideband sensor associated with the network proximity check. The method may also include transmitting the data responsive to the request for data captured by the wideband sensor associated with the network proximity check to the client computing device through the determined route.

Abstract: Techniques are disclosed for session-based routing within Open Systems Interconnection (OSI) Model Layer-2 (L2) networks extended over Layer-3 (L3) networks. In one example, L2 networks connect a first client device to a first router and a second client device to a second router. An L3 network connects the first and second routers. The first router receives, from the first client device, an L2 frame destined for the second client device. The first router generates an L3 packet comprising an L3 header specifying L3 addresses of the first and second routers, a first portion of metadata comprising L2 addresses for the first and second client devices, and a second portion of metadata comprising L3 addresses for the first and second client devices, and forwards the L3 packet to the second router. The second router recovers the L2 frame from the metadata and forwards the L2 frame to the second client device.

Abstract: A computerized-method for providing an elastic media forking infrastructure to cloud distributed real-time applications, is provided herein. In a network having a direct media streaming between a first media-client and a source device, in a direct media streaming mode, upon receiving a request from a second media-client, via a signaling protocol, to receive media from the source device, switching from the direct media streaming mode to a media forking mode by starting a media forting service on a media forking infrastructure. Upon receiving a request from the second media-client to terminate media reception from the source device, switching from media forking mode to direct streaming mode, by ending the media forking service, and operating the direct media streaming between the first media-client and the source device.

Abstract: An embodiment may involve a server device transmitting, over a wide area network, a first playlist with a first duration to a client device. Possibly while the client device is playing out a current audio file of a first plurality of audio files in the playlist, the server device may receive an instruction from the client device and generate a second playlist. The second playlist may include references to a second plurality of audio files, where playout of the second plurality of audio files may have a duration that is less than the duration of the playout of the first plurality of audio files. The server device may transmit, over the wide area network, the second playlist to the client device. Reception of the second playlist at the client device may cause the audio player application to retrieve and play out the second plurality of audio files.

Abstract: The present disclosure describes a method, system, and apparatus for using a machine learning system to configure and optimize complex, distributed computer networks. The machine learning system receives an input related to a computer network and classifies the input using either a supervised learning approach or an unsupervised learning approach. From the classification of the input, the machine learning system builds a first training domain and determines a steady state network configuration for the computer network. After determining a steady state network configuration for the computer network, the machine learning system receives a plurality of inputs from one or more sensors or agents distributed throughout the computer network. The machine learning system compares the plurality of inputs to the steady state network configuration to detect a deviation from the first steady state network configuration.

Abstract: Embodiments of this application provide a network performance assurance method and apparatus. When the network performance assurance method is applied, a second management device determines network performance assurance information. The network performance assurance information includes at least one of a network performance assurance granularity and a network performance assurance condition. The second management device sends a target network management request including the network performance assurance information to a first management device. The first management device receives the target network management request sent by the second management device, and manages a target network based on the at least one of the network performance assurance granularity and the network performance assurance condition included in the target network management request.

Abstract: A controller device includes a memory configured to store a tree structure comprising a plurality of nodes, wherein the tree structure comprises a set of sub-structures, and wherein the tree structure defines a configuration of a network device of a set of network devices such that each node of the plurality of nodes corresponds to a respective resource of the network device. Additionally, the controller device includes processing circuitry configured to receive an instruction to update the configuration of the network device, wherein the instruction to update the configuration of the network device indicates a node of the set of nodes corresponding to the update; and verify, based on a sub-structure of the set of sub-structures corresponding to the node indicated by the instruction, the instruction to update the configuration of the network device.

Abstract: A method, apparatus and system for transmitting data. The system includes: the load balance gate wall translating a virtual MAC address of the virtual server in a destination address of a data packet from a client to a real MAC address of the real server according to a pre-configured address mapping relationship between a real server and a virtual server; the load balance gate wall sending a modified data packet to the virtual switch; the virtual switch determining a data packet flowing into the real server after receiving the data packet from the load balance gate wall, then translating a virtual IP and a virtual port of the virtual server in the destination address in the determined data packet to a real IP and a real port of the real server; and the virtual switch sending the modified data packet to the real server.

Abstract: A wireless communication method and device are provided. The method includes: a compression device sending a first data packet or a second data packet according to a compression parameter of an Ethernet frame, the second data packet being a compressed data packet of the first data packet.

Abstract: In one embodiment, a machine learning model evaluation system may define standardized, extensible class hierarchies for evaluating performance of a given machine learning model. The class hierarchies may include a plurality of target classes that formalize an expected output of the given machine learning model based on a given dataset, a plurality of output classes that formalize an actual output of the given machine learning model based on the given dataset, a plurality of metric classes that formalize a comparison of the expected output of the given machine learning model with the actual output of the given machine learning model, and a plurality of datasets. When a machine learning model is received for evaluation, the system may identify a target class, an output class, and a metric class that are applicable to the machine learning model. The system may also retrieve a dataset applicable to the machine learning model.

Abstract: Methods, systems, and computer-readable storage media for receiving, by an IEE and from a target service, user action metadata and target information, the user action metadata representing an action of a user to the target service, determining that an integration recommendation is to be issued to the source service at least partially in response to the user action metadata, the integration recommendation recommending a service integration of the target service with the source service; and automatically executing, by the IEE, integration of the target service with the source service by calling an extension framework to generate an extension, the extension being installed in the source service, and calling a configuration framework to configure the source service having the extension installed therein, wherein, in response to the service integration, a user interface of the source service is populated with one or more fields of a user interface of the target service.

Abstract: A method of synchronization of a communication device comprising a first and second communication ports, each of the first and second communication port being associated with a respective first and second time system, the method comprising a regular master synchronization process synchronizing regularly the first time system with an external synchronization server according to a time synchronization protocol; a regular slave synchronization process synchronizing regularly the second time system with the first-time system; detecting a loss of synchronization between the first and second time system; determining which of the first and second time system is desynchronized; and synchronizing the desynchronized time system with the other one.

Abstract: Method, management node and processing node are disclosed for continuous availability in a cloud environment. According to an embodiment, the cloud environment comprises a plurality of layers and each layer includes at least two processing nodes. Each processing node in a layer can pull job(s) from the processing nodes in the upper layer if any and prepare job(s) for the processing nodes in the under layer if any. A method implemented at a management node comprises receiving measurement reports from the plurality of layers. The measurement report of each processing node comprises information about job(s) pulled from the upper layer if any and job(s) pulled by the under layer if any. The method further comprises determining information about failure in the cloud environment based on the measurement reports.

Abstract: A wireless communication method and device are provided. The method includes: a compression device sending a first data packet or a second data packet according to a compression parameter of an Ethernet frame, the second data packet being a compressed data packet of the first data packet.

Abstract: One or more peripheral components are attached to a medical imaging system. One or more devices are attached to the one or more peripheral components and configured to communicate data with a controller of the medical imaging system.

Abstract: Disclosed is a method and a system for sharing communication between connected home-automation devices belonging to a first communication network and a remote device connected to a second communication network, the first communication network being connected to the second communication network by a network device, the network device being suitable for allowing communication between at least one connected home-automation device of the first network and the remote device. The method includes determining a communication link device among the connected home-automation devices of the first communication network, as a function of at least one feature of the connected home-automation devices, and maintaining, by the communication link device, a communication channel between the first communication network and the remote device via the network device for the benefit of the other connected home-automation devices of the first communication network.

Abstract: The disclosure is directed to, among other things, systems and methods for associating website visitors with a sticky dynamic internet protocol (IP) address. An example method may include identifying one or more first web-based cookies associated with a first IP address or one or more first user agents associated with the first IP address as being received by a web server associated with a website. The example method may also include determining a density measurement for the first IP address, the density measurement being a maximum number of the one or more first web-based cookies or the one or more first user agents that are identified as being received at the web server at a single time. The example method may also include determining that the density measurement is less than or equal to a threshold value. The example method may also include determining, based on the density measurement being less than or equal to the threshold value, that the first IP address is a first sticky dynamic IP address.

Abstract: A communications apparatus includes a receiver and a processor. The receiver is configured to receive wireless signals. The wireless signals include a plurality of packets. The processor is coupled to the receiver and includes a first logic configured to perform operations of a first protocol layer and a second logic configured to perform operations of a second protocol layer higher than the first protocol layer. The operations of the first protocol layer includes: starting a timer in response to receiving a first packet with a first count value that is different from a deliver count value; and delivering a second packet with a second count value that is different from the deliver count value to the second logic before the timer expires.