A computer-implemented method of controlling communication resources and computation resources of a computerized system includes continually monitoring dual observables. The dual observables include one or more communication observables pertaining to one or more communication channels of the system, and one or more compute observables pertaining to a computational workload execution by a processor of the system. The method also includes jointly adjusting dual resources of the system based on the dual observables monitored, where the dual resources include communication resources for the one or more communication channels, and computation resources for the computational workload execution. Such a method can be used for sprinting both communication and computational resources, in a consistent way, for the system to best cope with temporary situations, in terms of both workload execution and data traffic. The invention is further directed to related systems and computer program products.

Techniques for predicting the availability of a resource are described. An exemplary method includes obtaining capacity data indicating an amount of capacity available in a cloud provider network to satisfy the request; generating, using a machine learning model that has been trained based at least in part on an output of an automated historical hindsight learner that is an integer linear program, an approval prediction, wherein the approval prediction indicates that the request is to be approved based on one or more launch parameters of the request and the capacity data; receiving information from a downstream component that controls the resource that the approval prediction is incorrect; and evaluating the incorrect approval prediction using a hindsight learner and predictor explainer.

This disclosure describes methods, devices, and systems related to coordinating channel switch times and specifying device operation (for example, transmitting device operation) to ensure data reception by one or more devices (for example, receiving devices). A device may receive a data path setup request frame from a second device. The device may cause to send a data path setup response frame. The device may cause to establish a communication with the second device on a first channel. The device may cause to establish a communication with the second device on a second channel at a first time. The device may cause to wait, by the device, at least for a duration specified by a channel switch time (CST) parameter. The device may cause to send device data to the second device over the first channel or the second channel based at least in part on the CST parameter.

A lightweight throttling mechanism allows for dynamic control of access to resources in a distributed environment. Each request received by a server of a server group is parsed to determine tokens in the request, which are compared with designated rules to determine whether to process or reject the request based on usage data associated with an aspect of the request, the token values, and the rule(s) specified for the request. The receiving of each request can be broadcast to throttling components for each server such that the global state of the system is known to each server. The system then can monitor usage and dynamically throttle requests based on real time data in a distributed environment.

A plurality of resource requests and a plurality of estimated link capacities are received at a first device from other devices coupled to a network. Each of the plurality of resource requests is indicative of a requested data rate for a different one of a plurality of communication links. Each of the plurality of estimated link capacities is indicative of an available data rate for the different ones of the plurality of communication links. An allocation of time slots within a first time interval is determined at the first device, based on at least the plurality of resource requests and the plurality of estimated link capacities, according to a branch and bound algorithm. At least some of the other devices of the plurality of devices are caused to communicate via the plurality of communication links according to the determined allocation of time slots.

A method performed by one or more network nodes of a wireless telecommunications network to schedule intermittent connectivity of multiple narrowband Internet-of-Things (NB-IoT) devices with the network. The network node(s) can maintain a connectivity schedule that includes profiles for NB-IoT devices and cause the multiple NB-IoT devices to connect to the network in accordance with the schedule at different times based on priority levels associated with the NB-IoT devices. The network node(s) can adjust the connectivity schedule in response to detection of a condition of the network or the NB-IoT device.

A network interface device for implementing multi-stream scheduling for time sensitive networking includes direct memory access (DMA) circuitry, comprising: descriptor parsing circuitry to read a packet descriptor from a descriptor cache, wherein the packet descriptor includes at least one scheduling control parameter including: a launch time offset, a gate cycle offset, or a reduction ratio; wherein the packet descriptor is associated with a packet stream having a traffic class; and scheduling circuitry to schedule packets from the packet stream for transmission using the at least one scheduling control parameter.

The present disclosure includes systems and techniques relating to Point-to-Multipoint (P2MP) communication networks and G.hn networking standards used therewith. In some implementations, the system includes a domain master (DM) network device and one or more network devices. The DM network device is configured to receive control request messages from one or more network devices, establish a connection via a point-to-multipoint (P2MP) network coupling to the one or more network devices based on the received control request messages, and transmit control messages to one or more network devices via the connection. A network device is configured to receive the control messages from the DM network device, receive data from a backbone network coupled to the P2MP network coupling, and transmit the received data to a designated client device through the P2MP network coupling in accordance with a P2MP communication protocol using a resource allocation received in the control message.

A network element (NE) in a network, comprising a memory configured to store time-based traffic engineering (TE) information associated with network resource reservations on a link attached to the NE in a series of time intervals each having a predetermined start time and a predetermined end time, and a processor coupled to the memory and configured to reserve, at a first current time, a network resource for a temporal tunnel service (TTS) on the link to carry traffic during a scheduled time interval subsequent to the first current time, wherein the scheduled time interval comprises a scheduled start time and a scheduled end time, and update, at the first current time, the time-based TE information in the scheduled time interval according to the network resource reserved to produce a first updated TE information in the scheduled time interval.

A system and method for generating and transmitting a non-real time communication are disclosed. The system includes a communication center having a communication server and a scheduling server which reduce a cost of transmitting non-real time communications. The communication server controls at least one or more of a transmission speed, a transmission quality, or a transmission packet size. The scheduling server is configured to schedule the transmission of non-real time communications based on when network traffic is low or near idle.