A customer premise equipment (CPE) associated with a customer premise forms a virtual machine (VM) and allocates a portion of processing resources and a portion of communications resources included in the CPE to the VM. The processing resources include, for example, general purposes processes and specialized processors for performing certain tasks. The communications resources relate to exchanging data with the CPE. The VM is assigned to a service provider, and service data associated with a service is received from the service provider. The service data to be processed by the VM and the processed service data is forwarded to user devices at the customer premise to provide the service to the user devices. The CPE may form different VMs for different service providers.

Methods and apparatus for establishing network presence. In an embodiment, a method is provided for determining a presence score. The method includes capturing an image of a QR code displayed on a secondary device, capturing a sound clip of a sound signal reproduced on the secondary device, and transmitting the image and the sound clip to a server. The method also includes receiving a presence score determined from at least one of a comparison of the QR code to the image and a comparison of the sound signal to the sound clip.

Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores. The computing system might identify and might allocate network resources based on the identified best-fit network-based parsimony tree, for providing the requested network services.

A self-configuring router includes a resource allocator that automatically assigns processors to queues, such that queue workload is distributed as evenly as possible among the processors, and the processors are as fully utilized as possible. Consequently, packets do not remain on queues longer than necessary, thereby decreasing latency of packets traversing the router, and available and expensive resources, namely the processors, are kept busy. The router automatically allocates its own resources (processors) to its own queues.

Provided herein are systems and methods for configuring a segmented cloud based network based on separate Internet Protocol (IP) segments, comprising receiving instructions to create one or more additional private virtual networks as respective additional segments in a multi-tenant multi-regional cloud based network segmented to a plurality of segments each mapped by a respective IP address range, calculating one or more non-conflicting new IP address range based on analysis of the IP address range of each of the segments, allocating a respective new IP address range to each additional segment, and deploying automatically one or more gateways. The gateways are configured to connect one or more client devices to the additional segments) by assigning each client device an IP address in the respective new IP address range and routing network packets between the client devices and the respective additional segment according to mapping of the respective new IP address range.

The present disclosure relates a slave device control method including generating the control message including a plurality of input data and transmitting the control message to a specific slave device among a plurality of slave devices, by a master device, extracting input data from a received data start position of the control message, by the specific slave device, and padding output data to transmitted data storage position of the control message and transmitting the output data to a next slave device, by the specific slave device.

The techniques and systems described herein are directed to providing deep integration of digital signal processing (DSP) operations with a general-purpose query processor. The techniques and systems provide a unified query language for processing tempo-relational and signal data, provide mechanisms for defining DSP operators, and support incremental computation in both offline and online analysis. The techniques and systems include receiving streaming data, aggregating and performing uniformity processing to generate a uniform signal, and storing the uniform signal in a batched columnar representation. Data can be copied from the batched columnar representation to a circular buffer, where DSP operations are applied to the data. Incremental processing can avoid redundant processing. Improvements to the functioning of a computer are provided by reducing an amount of data that to be passed back and forth between separate query databases and DSP processors, and by reducing a latency of processing and/or memory usage.

Techniques to manage media flows for broadcast with public cloud networks. A request for a media flow is received. A location of the media flow is identified based on a registration database configured to maintain locations of media flows across a media production facility and a public cloud network facility. The media flow is accessed, and at least one of the receiving entity or the requesting entity is configured to generate media based on the media flow.

Embodiments of the invention are directed to a system, method, or computer program product for an approach for performing assessment of electronic resources stored in a distributed network. The system allows for receiving, from a user, an obligation request, identifying and assessing electronic resources associated with the user in a distributed network, and determining a score for the electronic resources using a prediction model. The system also allows for querying and identifying in a database relevant recorded resource transfers, assigning a relevance level for the identified relevant recorded resource transfers, and assigning a score to the electronic resources along with a confidence level.

Embodiments of systems and methods for a client driven cloud network access system and method are described. In an illustrative, non-limiting embodiment, an IHS may include computer-executable instructions for receiving a request to perform an operation provided by a cloud service from an application, and generating an aggregated data packet including the request, a requested performance level to be provided by the service, and application telemetry data associated with a measured performance level of the application. The aggregated data packet is then transmitted to a plurality of servers that are each configured to provide the cloud service. Each of the servers generates and sends a response to the aggregated data packet that includes an advertised performance level at which the server can provide the cloud service. The IHS may then select one of the servers according to the advertised performance level, and communicate with the selected server to provide the requested operation.