Abstract: A communication system for automatically choosing a communication modality from a plurality of communication modalities for use for communication between distant communication entities is provided. The communication system includes a controller configured to: receive a message in the form of one of a first plurality of modalities from a message originator for transmission to a message recipient and select at least one modality for sending the message to the message recipient. To select the controller is configured to: determine the existence of any predetermined vehicle context requirements, predetermined static requirements, predetermined communication service provider requirements, communication context requirements, message recipient preferences, and message originator preferences; and make the selection based on those requirements and preferences. The controller is further configured to convert the received message to the selected modality and cause the message to be transmitted to the message recipient.

Abstract: A blockchain-based configuration profile provisioning system includes a client device that generates and broadcasts a blockchain transaction that identifies the client device and is directed to a blockchain address that is included in a blockchain. A blockchain device receives the blockchain transaction broadcast by the client device, executes a smart contract associated with the blockchain address, and determines that the execution of the smart contract has provided an indication that the client device identified in the blockchain transaction is authorized to receive a configuration profile. In response, the blockchain device causes a configuration profile token to be generated and transmitted. A configuration profile system receives the configuration profile token and, in response, retrieves and transmits the configuration profile to the client device.

Abstract: Methods and systems for providing distributed tracing for application performance monitoring utilizing a distributed search engine in a microservices architecture. An example method comprises providing a user interface (UI) including a distributed trace indicating in real time the services invoked to serve an incoming HTTP request, the UI further including, in a single view, associated execution times for the services shown as a timeline waterfall. The distributed trace automatically propagates a trace ID to link services end-to-end in real time until a response to the request is served. The single view also provides graphs of response time information and the distribution of response times for the services. In response to selection of a particular element of the distribution, the UI provides respective timing details. The graphs and data shown on the single view can be filtered based on metadata input into a search field of the single view.

Abstract: In one embodiment, a service detects that an event of a particular event type has occurred in a software-defined wide area network (SD-WAN). The service activates, in response to detecting the occurrence of the event, a machine learning model to assess telemetry data regarding a first tunnel in the SD-WAN. The service predicts a failure of the first tunnel, based on the assessment of the telemetry data regarding the first tunnel by the machine learning model. The service proactively reroutes at least a subset of traffic on the first tunnel onto a second tunnel in the SD-WAN, in advance of the predicted failure of the first tunnel.

Abstract: Computing devices, each of which monitors information in a monitoring environment, take on the role of a controller for some of them, separating the (real or virtual) elements of the environment into subsets. Computing devices provide their results to a unification device, which combines them into a monitoring parameter. Each computing device monitors its parameters based on a timestamp, so unification devices can determine whether results from those computing devices represent the same state of the environment. Unification devices divide the results from their computing devices into uniform durations. Even if results don't reflect the same environment state, unification devices can still approximate results for unification. Elements can be reassigned on time boundaries, or can be duplicated, with unification devices still able to unify results. Predicted queries can be pre-computed.

Abstract: Methods that can merge storage network protocols and/or system protocols are provided. One method includes assigning a unique identifier to each of a plurality of nodes in a storage network in which at least two nodes of the plurality of nodes implement a different storage protocol. The method further includes utilizing the unique identifier of the at least two nodes of the plurality of nodes to enable the at least two nodes to communicate with each other. Systems and apparatus that can include, perform, and/or implement the methods are also provided.

Abstract: A system that provides for implementing a communication network with multiple data routers capable of segmenting a data file, such that the data routers provide for multi-distribution of different segments of a data file to different targets. As a result, a source is able to communicate a data file, segments of which are designated for multiple targets and have the actual segmentation of the data file occur after the data file has been transmitted (i.e., during the routing process).

Abstract: A device receives virtual network function (VNF) data identifying a VNF to be implemented in a network and configures the VNF data with hardware and software requirements for deploying the VNF in a non-production environment, wherein configuring the VNF data with the hardware and software requirements generates a configured VNF. The device deploys the configured VNF in the non-production environment and performs one or more tests on the configured VNF deployed in the non-production environment. The device receives one or more test results based on performing the one or more tests on the configured VNF, and updates the configured VNF, based on the one or more test results, to generate an updated VNF. The device causes the updated VNF to be deployed in the network.

Abstract: A network tap includes a first network connector, a second network connector, a third network connector for connecting to a monitoring device, a phase locked loop, and circuitry. The circuitry is configured to extract a clock signal from a first signal on an output of one of the first and second network connectors, provide the clock signal to the phase locked loop, receive a reference clock signal derived from the recovered clock signal from the phase locked loop and clock a second signal on the input of the other one of the first and second network connectors using the received reference clock signal if a link has been established between a first network device and the first network connector and a link has been established between a second network device and the second network connector.

Abstract: Methods, systems, and apparatus, including an apparatus for generating clusters of building blocks of compute nodes using an optical network. In one aspect, a method includes receiving request data specifying requested compute nodes for a computing workload. The request data specifies a target n-dimensional arrangement of the compute nodes. A selection is made, from a superpod that includes a set of building blocks that each include an m-dimensional arrangement of compute nodes, a subset of the building blocks that, when combined, match the target n-dimensional arrangement specified by the request data. The set of building blocks are connected to an optical network that includes one or more optical circuit switches. A workload cluster of compute nodes that includes the subset of the building blocks is generated. The generating includes configuring, for each dimension of the workload cluster, respective routing data for the one or more optical circuit switches.

Abstract: A method of determining trigger conditions for scaling a scalable unit of network function comprising identifying a primary set of metrics associated with usage of an instance of the unit of network function as a primary indicator of occurrence of a load state thereof, and determining usage points when the primary indicator indicates that the load state occurs. Deriving a secondary set of the metrics, different to the primary set, as a secondary indicator of occurrence of the load state of the instance at each of a group of one or more of the usage points when the primary indicator indicates that the load state occurs, and measured data corresponding to values of the metrics in the secondary set of metrics at each of the group of usage points. Storing a trigger condition for scaling the unit of network function based on the secondary set and the measured data.