Time-spaced messaging for network communications is facilitated. An example method may include receiving a plurality of messages at a message rate. The method may further include determining a number of the plurality of messages a network device is unable to process. The method may further include determining, based on the number, a miss rate associated with the plurality of messages. The method may further include determining whether the miss rate exceeds a threshold miss rate and, if the miss rate is determined to exceed the threshold miss rate, determining a time delay based on the miss rate and message rate, and applying the first time delay to at least one message received subsequent to the plurality of messages.

This application provides an example delay measurement method and an example network device. The method includes receiving, by a first network device, a first service flow. The method also includes determining, by the first network device, a first delay value based on a first measurement code block in the first service flow. The first delay value is a time difference between a first moment at which the first measurement code block is detected in the first network device and a second moment at which the first measurement code block is detected in the first network device.

This application provides an example delay measurement method and an example network device. The method includes receiving, by a first network device, a first service flow. The method also includes determining, by the first network device, a first delay value based on a first measurement code block in the first service flow. The first delay value is a time difference between a first moment at which the first measurement code block is detected in the first network device and a second moment at which the first measurement code block is detected in the first network device.

Disclosed in some examples are methods, systems, and machine-readable mediums which determine jitter buffer delay by inputting jitter buffer and currently observed network status information to a machine learned model that is trained using a reinforcement learning (RL) method. The model maps these inputs to an action to compress, stretch, or hold the jitter buffer delay, which is used by a recipient computing device to optimize the jitter buffer delay. The model may be trained using a simulator that uses network traces of past real streaming sessions (e.g., communication sessions) of users. By training the model through reinforcement learning, the model learns to make better decisions through reinforcement in the form of reward signals that reflect the performance of each decision.

Disclosed in some examples are methods, systems, and machine-readable mediums which determine jitter buffer delay by inputting jitter buffer and currently observed network status information to a machine learned model that is trained using a reinforcement learning (RL) method. The model maps these inputs to an action to compress, stretch, or hold the jitter buffer delay, which is used by a recipient computing device to optimize the jitter buffer delay. The model may be trained using a simulator that uses network traces of past real streaming sessions (e.g., communication sessions) of users. By training the model through reinforcement learning, the model learns to make better decisions through reinforcement in the form of reward signals that reflect the performance of each decision.

Systems and methods for buying, selling, and financing enterprise IT infrastructure capacity on a decentralized and distributed marketplace platform are disclosed. In one embodiment, the decentralized and distributed IT marketplace platform is based on the blockchain technology. In one embodiment, a blockchain-based IT marketplace platform provides a decentralized supply chain for IT assets and financial services and establishes a self-regulating and trustless marketplace of connected consumers, producers, and financiers. In one embodiment, the blockchain-based IT marketplace platform enables developing, executing, financing and monetizing modern, cloud native, enterprise compute infrastructure and software applications.

Systems and methods for buying, selling, and financing enterprise IT infrastructure capacity on a decentralized and distributed marketplace platform are disclosed. In one embodiment, the decentralized and distributed IT marketplace platform is based on the blockchain technology. In one embodiment, a blockchain-based IT marketplace platform provides a decentralized supply chain for IT assets and financial services and establishes a self-regulating and trustless marketplace of connected consumers, producers, and financiers. In one embodiment, the blockchain-based IT marketplace platform enables developing, executing, financing and monetizing modern, cloud native, enterprise compute infrastructure and software applications.

The technologies described herein are generally directed toward shedding processing loads associated with route updates. According to an embodiment, a system can comprise a processor and a memory that can enable operations facilitating performance of operations including facilitating receiving, from a second routing device via a network, a communication. The operations can further comprise, in response to a queueing delay being determined to be less than a threshold, queueing, in the queue, the communication for a third routing device selected according to a first selection process as being on a route to a destination routing device for the communication. Further, operations to, in response to the queueing delay of the queue being determined to be equal to or above the threshold, transmit the communication to a fourth routing device, with the fourth routing device being selected according to a second selection process different than the first selection process.

The technologies described herein are generally directed toward shedding processing loads associated with route updates. According to an embodiment, a system can comprise a processor and a memory that can enable operations facilitating performance of operations including facilitating receiving, from a second routing device via a network, a communication. The operations can further comprise, in response to a queueing delay being determined to be less than a threshold, queueing, in the queue, the communication for a third routing device selected according to a first selection process as being on a route to a destination routing device for the communication. Further, operations to, in response to the queueing delay of the queue being determined to be equal to or above the threshold, transmit the communication to a fourth routing device, with the fourth routing device being selected according to a second selection process different than the first selection process.

Provided is a remote control system and a method enabling packets, related to a control signal and simultaneously transmitted from a controller to a plurality of controlled devices, to be received by the controlled devices without a difference in delay. Edge nodes that are packet transfer devices are provided on communication paths between a controller provided on a network and a plurality of controlled devices provided in a location. The edge nodes each include a transfer processing unit that transfers the packets from the controller to the controlled devices, and a timing control unit that controls transmission timing of the packets in the transfer processing unit to reduce a difference in arrival time of a plurality of packets simultaneously transmitted from the controller to the plurality of controlled devices, at the plurality of controlled devices.