Patent classifications
H04L47/522
DYNAMIC ALLOCATION OF NETWORK RESOURCES USING EXTERNAL INPUTS
Systems and methods for managing network resources are disclosed. One method can comprise receiving first information relating to network traffic parameters and receiving second information relating to one or more contextual events having an effect on the network traffic parameters. The first information and the second information and be correlated. And one or more network resources can be allocated based on the correlation of the first information and the second information.
THROTTLING DATA STREAMS FROM SOURCE COMPUTING DEVICES
Local management of data stream throttling in data movement operations, such as secondary-copy operations in a storage management system, is disclosed. A local throttling manager may interoperate with co-resident data agents and/or a media agent executing on any given local computing device, whether a client computing device or a secondary storage computing device. The local throttling manager may allocate and manage the available bandwidth for various jobs and their constituent data streams—across the data agents and/or media agent. Bandwidth is allocated and re-allocated to data streams used by ongoing jobs, in response to new jobs starting and old jobs completing, without having to pause and restart ongoing jobs to accommodate bandwidth adjustments. The illustrative embodiment also provides local users with a measure of control over data streams—to suspend, pause, and/or resume them—independently from the centralized storage manager that manages the overall storage system.
DATA PROCESSING METHOD AND APPARATUS
Embodiments of this application disclose a data processing method and a data processing apparatus. The method includes: obtaining first bandwidth adjustment information and a bandwidth adjustment result of all of M service flows in a first exploration period; determining second bandwidth adjustment information of all the service flows in a first decision period based on the first bandwidth adjustment information and the bandwidth adjustment result; and adjusting all the service flows based on the second bandwidth adjustment information, where the bandwidth adjustment result is obtained after all the service flows are adjusted based on the first bandwidth adjustment information, and M is an integer greater than or equal to 2. In this manner, determining of bandwidth allocation information for a plurality of service flows is facilitated.
SMART BANDWIDTH ALLOCATION
A controller is provided for use with a CD, a WAN, and a service provider server, the HNC includes: a memory; and a processor configured to execute instructions stored on memory to cause the HNC to: establish a priority time period; associate the priority time period with a first application; establish a first service flow queue having a first QoS during priority period; establish a second service flow queue having a second QoS; receive first upstream packets and second upstream packets; assign the first upstream packets to a first upstream queue during the priority time period; assign the second upstream packets to a second upstream queue; receive first downstream packets and second downstream packets; assign the first downstream packets to a first downstream queue during the priority time period; and assign the second downstream packets to a second downstream queue.
Network data traffic buffering in mobile networks
Techniques are described for buffering data traffic destined for a mobile device when a data path to a base station for the mobile device is unavailable. For example, a network device comprises: a control unit comprising processing circuitry, wherein the control unit is configured to allocate, in response to determining that a data path from the network device to the base station for a mobile device is unavailable, a hardware queue of a packet processor of the network device to the data path; and a forwarding component with access to the hardware queue, wherein the forwarding component is configured to store data traffic for the mobile device to the allocated hardware queue, wherein the control unit is configured to, in response determining that the data path is available, configure the forwarding component to output the data traffic from the allocated hardware queue to the base station along the data path.
DETERMINING RATE DIFFERENTIAL WEIGHTED FAIR OUTPUT QUEUE SCHEDULING FOR A NETWORK DEVICE
A network device may receive packets and may calculate, during a time interval, an arrival rate and a departure rate, of the packets, at one of multiple virtual output queues. The network device may calculate a current oversubscription factor based on the arrival rate and the departure rate, and may calculate a target oversubscription factor based on an average of previous oversubscription factors associated with the multiple virtual output queues. The network device may determine whether a difference exists between the target oversubscription factor and the current oversubscription factor and may calculate, when the difference exists, a scale factor based on the current oversubscription factor and the target oversubscription factor. The network device may calculate new scheduling weights based on prior scheduling weights and the scale factor, and may process packets received by the multiple virtual output queues based on the new scheduling weights.
METHODS, SYSTEMS AND COMPUTER READABLE MEDIA FOR DIAGNOSING NETWORK FUNCTION VIRTUALIZATION PERFORMANCE
Performance issues in a service function chain having a plurality of resources and a plurality of network functions each having a network function queue are diagnosed. Each network function queue is monitored and queueing information for input packets for each of the plurality of network functions is dumped to a data store. Each resource that is under contention is identified as well as which of the network functions is a contender for the resources. A diagnosing algorithm is used to diagnose performance problems and an impact graph for each victim packet is generated. A summary of results as a list of rules is then provided.
Intelligent local management of data stream throttling in secondary-copy operations
Local management of data stream throttling in data movement operations, such as secondary-copy operations in a storage management system, is disclosed. A local throttling manager may interoperate with co-resident data agents and/or a media agent executing on any given local computing device, whether a client computing device or a secondary storage computing device. The local throttling manager may allocate and manage the available bandwidth for various jobs and their constituent data streams—across the data agents and/or media agent. Bandwidth is allocated and re-allocated to data streams used by ongoing jobs, in response to new jobs starting and old jobs completing, without having to pause and restart ongoing jobs to accommodate bandwidth adjustments. The illustrative embodiment also provides local users with a measure of control over data streams—to suspend, pause, and/or resume them—independently from the centralized storage manager that manages the overall storage system.
Dynamic management of effective bandwidth of data storage operations
Intelligent data throttling in data movement operations, such as secondary-copy operations in a storage management system. A local throttling manager may intelligently interoperate with co-resident data agents and/or a media agent executing on any given local computing device, whether a client computing device or a secondary storage computing device. The local throttling manager may allocate and manage the available bandwidth for various jobs and their constituent data streams—across the data agents and/or media agent. Effective bandwidth for the secondary-copy operation may be adjusted based on available bandwidth from the computing device due to increased demand for the bandwidth from other operations.
Systems and methods for dynamic buffer modification based on application category
A method is provided for dynamically modifying a buffer in a network deploying multiple carriers, wherein multiple wireless devices communicate over the network. The wireless devices run applications, each application belonging to an application category. The method includes identifying the application category for a selected wireless device communicating over the network, wherein a first application category requires at least one of high throughput and low latency. The method additionally includes reducing a size of the buffer when the application category is the first application category, thereby initiating carrier aggregation for the selected wireless device.