Implementing network constraint exceptions on a per device basis is disclosed. A network manager determines that a subscriber device associated with a subscriber network is to be granted an exception to a network constraint of the subscriber network. An aggregation device that is coupled to a set of subscriber networks including the subscriber network is sent aggregation device instructions to grant the exception to packets associated with the subscriber device that flow through the aggregation device. A network gateway device that serves as a network gateway for the subscriber network is sent gateway device instructions to associate packets associated with the subscriber device with information for identifying the packets as being associated with the subscriber device.

The disclosure provides a transmission method for an Optical Burst Transport Network (OBTN), a slave node and computer storage medium. The transmission method includes that: a slave node performs frame synchronization training and timeslot synchronization training according to a test data frame and test control frame transmitted by a master node, and transmits a result of the frame synchronization training and a result of the timeslot synchronization training to the master node; and the slave node controls reception and transmission of each timeslot in a data frame according to a bandwidth map transmitted by the master node as well as the result of the frame synchronization training and the result of the timeslot synchronization training, and transmits a request for bandwidth to the master node, wherein the test data frame and the data frame are transmitted through a data channel, the test control frame is transmitted through a control channel, and the control channel and the data channel are independent of each other.

Technologies for monitoring network traffic include a computing device that monitors network traffic at a graphics processing unit (GPU) of the computing device. The computing device manages computing resources of the computing device based on results of the monitored network traffic. The computing resources may include one or more virtual machines to process network traffic that is to be monitored at the GPU the computing device. Other embodiments are described and claimed.

A communication control device includes a frame configuration section configured to reconfigure a frame by changing a ratio of each of data partitions in a data field according to a communication state of a network including multiple nodes, and a process command section configured to instruct the multiple nodes to execute configuration process such that the multiple nodes are enabled to transmit and receive the reconfigured frame.

The present disclosure relates to a 5G or pre-5G communication system to be provided for supporting a data rate higher than that of a 4G communication system such as LTE. A dynamic resource allocation method of an intelligent orchestrator in a software-defined network (SDN) according to the present invention includes acquiring operation data related to resource allocation in the SDN, adjusting at least one of virtual switch and host parameters based on the operation data and a preconfigured scheduling policy, and allocating resources dynamically according to the adjustment result.

The present invention provides a computer implemented method for allocating resources to Quality of Service, QoS, models in a network, the method comprising: selecting a route in the network, wherein the route comprises a plurality of flows of network traffic; obtaining model-to-route mapping data identifying a plurality of QoS models, wherein each QoS model is used by at least one of the plurality of flows of network traffic; monitoring the plurality of flows of network traffic to determine a characteristic of each of the plurality of flows; and in the event that one of the QoS models is withdrawn, reallocating resources of the selected route to flows of network traffic along that route, wherein the reallocation is based on at least one of: the QoS model used by each of the flows of network traffic along that route; and the characteristic of each of the flows.

A system and method for providing high availability for a thin-provisioned container cluster includes a memory, one or more processors in communication with the memory, a scheduler executing on the one or more processors, and a spot instance market monitor. The spot instance market monitor receives market information about spot instances in a cloud system at a first time. The spot instances are available to a client at the first time. The spot instance market monitor determines, based on the market information, a respective reliability value for each of the spot instances at the first time. Then, the scheduler selects one spot instance among the spot instances based on the reliability value of the spot instance. In response to the selection of the spot instance, the scheduler schedules a container on the spot instance and executes the container on the spot instance.

Embodiments of this disclosure provide an information transmission method and apparatus and a system. The method is applicable to a terminal and includes: whether the terminal is in a congestion state is determined; and corresponding information is transmitted by using a parameter related to the congestion state when the terminal is in a congestion state. With the embodiments of this disclosure, the parameter related to the congestion state is configured for the terminal, thereby reducing resource collision, improving resource utilization efficiency and improving reliability of communications.

The described technology is generally directed towards automatically scaling segments of a stream of data. According to an embodiment, a system can comprise a memory that can store computer executable components, and a processor that can execute the computer executable components stored in the memory. The computer executable components can comprise a predictor that can predict a future communication load of a stream of data provided by a stream provider device, the stream comprising segments of a size. The computer executable components can further comprise a size changer that can receive an indication that a present communication load of the stream of data has transitioned a threshold, and change the size of a segment of the segments based on the indication and the future communication load of the stream of data.

A method for sharing computer device resources includes establishing a sharing domain and storing information of user terminals joined to the sharing domain. Information of shareable resources in the sharing domain is obtained. Requests for allocation of computer device resources such as data storage and data traffic per period may be sent out by a user terminal, and allocations of resources for sharing may be made according to one or more predetermined rules.