87 results about "Dynamic bandwidth allocation" patented technology

The invention discloses a bandwidth dynamic allocation method and device, a program product and a storage medium, and relates to the technical field of computers. According to the method, bandwidth use data of a network outlet are collected in real time, the residual bandwidth capacity of the outlet is determined, and the distributable dynamic bandwidth capacity of each interface is calculated by combining an interface weight parameter and an interface stability coefficient calculated based on bandwidth use fluctuation characteristics, so that the residual bandwidth of the network outlet can be reasonably distributed. Meanwhile, a dynamic additional bandwidth mechanism is introduced outside the fixed basic bandwidth, and the dynamic bandwidth allocation weight is determined based on the bandwidth use stability of the authentication terminal and the current bandwidth use state, so that the terminal is not limited by a preset fixed bandwidth upper limit any more, more bandwidth resources can be obtained when the exit bandwidth is sufficient, and the bandwidth utilization rate of the terminal is improved. Therefore, the utilization efficiency of bandwidth resources is improved.

This invention discloses a method and apparatus for processing multi-task parallel data streams based on FPGA, applied in the field of data processing technology. The invention constructs a multi-format raw data receiving and decoding system; normalizes the decoded data to generate a unified format data stream; encodes and embeds ID identification codes into the normalized data to generate tagged data to be stored; performs FIFO buffering and write priority determination on the encoded data to generate a priority queue data; performs DDR write and BANK scheduling on the priority queue data to generate stable parallel data; and coordinates the reading and output of the DDR stored data to generate a continuous output data stream. Specifically, data is located by decoding the ID identification code, reads from the FIFO by depth scheduling, and the channel temporary storage FIFO monitors the data volume to trigger read requests. Dynamic bandwidth allocation and energy efficiency optimization are performed throughout the data stream processing process to generate efficient parallel processing results.

The invention discloses a medical CT (Computed Tomography) communication method for high-precision synchronization of multi-source data and a CT system. Wherein the rotary control unit and the fixed control unit are connected with each other through a private wireless link, take an FPGA / MCU platform as a core, and realize microsecond-level synchronization by utilizing a unified clock source, a hardware timestamp and round-trip delay correction; during scanning, the fixing unit returns multi-source data such as bed codes, electrocardio and high-voltage parameters in real time, and the rotating unit fits and triggers instantaneous bed information based on cached data and sends the instantaneous bed information to the image reconstruction unit after the instantaneous bed information is strictly aligned with detector data. According to the scheme, traditional high-voltage cables and drag chains are replaced, hidden dangers of insulation aging, mechanical abrasion and data interruption are eliminated, and the fault rate is remarkably reduced; meanwhile, motion artifacts are inhibited, and the image definition and real-time performance are improved. Protocol multiplexing and dynamic bandwidth allocation further reduce delay and bit error rate, and support seamless expansion of subsequent modules.

The invention discloses a bridge state monitoring method and system based on edge cloud collaboration, and relates to the technical field of bridge safety, and the method comprises the steps: collecting real-time multi-source heterogeneous data; screening to obtain effective multi-source heterogeneous data; performing feature extraction and damage sensitivity index calculation on the effective multi-source heterogeneous data through a damage sensitivity index formula; transmitting the data to a cloud server through dynamic bandwidth allocation; constructing a bridge state evaluation model in the cloud server; obtaining a bridge overall state score according to the bridge state evaluation model; predicting the remaining service life and risk level of the bridge according to the overall state score of the bridge; and performing multi-level notification and alarm on a management platform, a supervision mechanism and a bridge site according to the risk level. According to the method, transmission delay and bandwidth occupation are effectively reduced through edge cloud collaboration and grading processing. And a multi-scale feature fusion model and a special calculation formula are adopted to realize accurate evaluation of the bridge state and reliable prediction of the residual life. And full-process linkage is realized through a closed-loop early warning mechanism.

The invention relates to the technical field of photoetching machine data transmission, and discloses an ultra-high-speed distributed data transmission synchronization system of a direct-writing photoetching machine. The system comprises a dynamic exposure pulse analysis module which constructs a distributed transmission delay calculation model based on historical operation data, collects data such as a laser trigger pulse sequence in real time and outputs a theoretical transmission synchronization value; the multi-channel time sequence offset detection module generates a node-level multi-channel time sequence offset matrix through multi-dimensional comparison of the theoretical value and the actual transmission time sequence; the spatial topology mapping module is combined with the physical position and the link impedance parameter to generate a time sequence abnormal propagation path probability distribution cloud picture so as to locate a high-delay area; and the dynamic bandwidth allocation module configures a transmission strategy according to the data, starts redundant channel parallel transmission for a high-delay area, and implements dynamic clock offset compensation for adjacent nodes, so that the synchronization stability and transmission efficiency of data transmission are effectively improved.

The invention relates to a ship mail adaptive coding and dynamic bandwidth allocation method, belongs to mobile voice service, mobile data communication service and other telecommunication services, and particularly relates to the field of digital information transmission. The method comprises the following steps: intelligently predicting the total number of transmitted mails and the total number of transmitted mail data of a target ship in a current time segment by using an AI network data prediction model according to various basic data which are fully and comprehensively selected; and determining an adaptive coding strategy and a dynamic bandwidth allocation strategy for the current time segment of the target ship based on the intelligent prediction result. According to the invention, in order to solve the technical problems that effective and smooth transmission of all mail data of each future time segment of each ship is difficult to consider and the utilization rate of network transmission resources is difficult to improve, A I network data prediction models of different structures customized and designed for different ships are used; and intelligent prediction of the mail transmission state of each ship in the future time segment is completed, so that the technical problem is solved.

The invention relates to the technical field of visible light communication, and discloses an intelligent lamp data transmission system based on visible light communication. The system comprises an optical signal processing module, a transmission management module and a terminal control module. The optical signal processing module collects and processes the visible light signal and outputs a light intensity space coding signal; after the transmission management module receives the signal, the signal is decoded by the signal analysis unit to obtain an original data stream signal and a channel interference characteristic signal, the channel optimization unit processes the original data stream signal and the channel interference characteristic signal to obtain an optimal modulation parameter signal, and the transmission strategy unit outputs a dynamic bandwidth allocation signal; in the terminal control module, an adaptive modulation execution unit adjusts the driving parameters of the light emitter according to the optimal modulation parameter signal, a lamp array control unit adjusts the working state of a lamp light-emitting unit and collects a real-time link state signal, and a link monitoring module outputs a communication quality index. The system is suitable for an intelligent illumination and data transmission fusion scene.

The invention relates to the technical field of audio processing, and discloses a wireless earphone multi-device cooperation method and system based on spatial audio rendering, and the method comprises the steps: extracting the multi-dimensional cooperation features of a wireless earphone, and generating a spatial audio rendering control instruction and a multi-device connection switching instruction; setting a cooperative control strategy set of a spatial audio rendering control instruction and a multi-device connection switching instruction in combination with the scene type, the visual focus coordinate and the noise interference index; calculating a sound field distortion value of the spatial audio rendering control instruction, and determining a dynamic bandwidth allocation value of an equipment audio priority; setting a multi-device audio output threshold of the wireless earphone through the dynamic bandwidth allocation value and the noise reduction intensity adjustment coefficient; and generating a multi-device audio switching scheme of the wireless earphone based on the cooperative control strategy set and the multi-device audio output threshold. The fracture risk of the space sound field in the switching process can be reduced, and the auditory experience of a user is improved.

A novel dynamic bandwidth allocation system integrates an intelligent traffic prediction module and an on-demand token replenishment module in a quality-of-service (QoS)-based media access control (MAC) layer controller, which is able to dynamically allocate data transmission capacity (i.e., bandwidth) to multiple incoming service flows of data packets for multiple subscribers more efficiently with less network congestions and service inconsistencies than conventional MAC layer management methods. The novel dynamic bandwidth allocation system utilizes network traffic predictions to identify potentially sudden or rapid changes in near-term network traffic, and if necessary, adjusts bandwidth allocations preemptively to service flows to minimize service quality degradations while also improving network resource usage efficiencies, compared to conventional static bandwidth allocation methods. The novel dynamic bandwidth allocation system also minimizes unnecessary packet droppages, network congestions, and / or speed degradations during bursty and oscillating network traffic, and improves QoS satisfaction rates for network subscribers.

The invention relates to the technical field of bandwidth allocation, and provides a dynamic bandwidth allocation method and device for a home intranet, equipment, a medium and a product, and the method comprises the steps: obtaining the real-time flow of the home intranet through routing; when the real-time flow reaches a preset flow threshold value, triggering a broadband adjustment strategy; in response to the broadband adjustment strategy, performing first bandwidth adjustment according to the task type of the lower-mounted device to obtain a first adjustment result; inputting the first adjustment result into a user traffic use habit model for second bandwidth adjustment to obtain a second adjustment result; generating a bandwidth allocation adjustment command according to the second adjustment result; and sending the adjustment command to the route to enable the route to carry out bandwidth allocation and flow control on the lower equipment. According to the invention, the gateway manages the information of the under-hanging terminals among the routes as a whole, so that the information sharing among the routes is enhanced; and in combination with a two-stage bandwidth adjustment strategy, dynamic bandwidth allocation under the complex family topology is realized, and the adjustment accuracy is improved.

A novel dynamic bandwidth allocation system and a method of its operation incorporate a quality-of-service (QOS)-based media access control (MAC) layer controller, which is able to dynamically allocate data transmission capacity (i.e. bandwidth) to multiple incoming service flows of data packets for multiple subscribers more efficiently with less network congestions and service inconsistencies than conventional MAC layer management methods. The QoS-based MAC layer controller is able to determine and place incoming service flows into two separate states of token buckets (i.e. conforming or non-conforming), wherein the conforming token bucket utilizes a longer filtering interval (e.g. 1 second) and the non-conforming token bucket utilizes a shorter filtering interval (e.g. 1 ms) for detecting token bucket violations. The QoS-based MAC layer controller is able to utilize either conforming or non-conforming states flexibly and intelligently to minimize unnecessary packet droppages, network congestions, or speed degradations during bursty and oscillating network traffic.

Communication systems and methods using a hybrid-switch dynamic bandwidth allocation (DBA) are provided. A predetermined switch threshold is calculated for each data subcarrier of a downstream optical signal. The downstream optical signal is transmitted by an optical line terminal (OLT) to a plurality of optical network units (ONUs) disposed remotely from the OLT. A status report is received from each ONU of the plurality of ONUs and a current load is calculated for each data subcarrier of the one or more data subcarriers based on the status report from each ONU. The current load is determined to meet or not meet the predetermined switch threshold. A first DBA algorithm is selected when the current load does not meet the predetermined switch threshold and a second DBA algorithm is selected when the current load meets the predetermined switch threshold. The selected DBA algorithm is then executed.

The invention discloses a layered relay cost flow method for resource scheduling of the Internet of Vehicles in a local communication traffic burst, and the method comprises the steps: enabling a road side unit to collect the target communication rate, time delay and priority parameters of an access vehicle, building an intra-domain vehicle communication quality demand representation matrix, and calculating the intra-domain comprehensive communication demand target amount; judging a local communication traffic burst state through a congestion early warning threshold value, and initiating a resource rescheduling request to a central cloud; a fast dynamic bandwidth allocation algorithm is constructed, and the central cloud reallocates a bearing budget for the administered road side unit by using the algorithm and issues the bearing budget; the road side unit generates a vehicle feasible transmission path set by adopting a transmission path generation algorithm oriented to link stability, and constructs a source point-vehicle-relay vehicle-resource block-sink layered relay cost flow network diagram; and constructing an enhanced dynamic cost flow algorithm under the constraint of an upper-layer central cloud allocation bearing budget, and traversing the layered relay cost flow network diagram to obtain a final allocation result of each vehicle wireless resource block under the road side unit.

This invention relates to the field of visible light communication technology and discloses a smart lighting data transmission system based on visible light communication. The system includes an optical signal processing module, a transmission management module, and a terminal control module. The optical signal processing module acquires and processes visible light signals, outputting a spatially encoded light intensity signal. The transmission management module receives this signal, decodes it through a signal analysis unit to obtain the original data stream signal and channel interference characteristic signal, processes it through a channel optimization unit to obtain the optimal modulation parameter signal, and outputs a dynamic bandwidth allocation signal through a transmission strategy unit. In the terminal control module, an adaptive modulation execution unit adjusts the light transmitter drive parameters according to the optimal modulation parameter signal, a lighting array control unit adjusts the working state of the lighting units and collects real-time link status signals, and a link monitoring module outputs a communication quality index. This system is suitable for scenarios integrating smart lighting and data transmission.

The invention belongs to the technical field of digital twinning, and particularly discloses a digital twinning data transmission optimization method and system and a program product, which realize real-time intelligent adjustment of data transmission priority and improve transmission efficiency by constructing a dynamic priority algorithm based on multi-dimensional data characteristics. The accuracy of digital twin data transmission is ensured through a dual guarantee mechanism of data integrity verification and time sequence verification; dynamic balance of transmission efficiency and accuracy is realized by combining bandwidth dynamic allocation and an intelligent retransmission strategy, and the method has extremely high industrial universality; and through dynamic bandwidth allocation and an intelligent compression strategy, the utilization rate of the network bandwidth is remarkably improved, and the data transmission cost of an enterprise is greatly reduced. The industrial problems of low data transmission efficiency and poor accuracy between the physical entity and the digital twinborn body can be effectively solved, and key support is provided for deep application of the digital twinborn technology.

The invention relates to the technical field of data processing, and discloses a data stream processing method and device based on dynamic bandwidth allocation, equipment and a medium, when a data request of a client is received, a new redirection request is generated by judging a data stream type and applying redirection logic when the data stream type is confirmed to be a target data type, and the data stream is redirected. Therefore, the data streams can be quickly and accurately classified and guided, congestion of the data streams on unnecessary paths is avoided, and the condition of resource competition is relieved. According to the method, the channel specially used for transmitting the target data stream is determined, and independent transmission paths are provided for different types of data streams, so that mutual interference among data is reduced, and the occurrence probability of system jamming is remarkably reduced. According to the method, the traffic resource of each channel is calculated and allocated by applying a traffic dynamic allocation algorithm, so that the processing capability of high-concurrency scenes of financial and medical data processing is greatly improved, and the processing efficiency and the response speed of data streams are remarkably improved.

According to the miniaturized GPU coding and decoding device and the data coding acceleration processing method, an advanced algorithm and a reliable hardware architecture are adopted, a GPU, a special coding module, a high-capacity video memory and a PCIe Switch form coding equipment, and a video processing acceleration platform which is highly integrated, clear in division of labor and huge in throughput is formed. The processing core performance, the data interaction capability and the physical form are broken through, and the functions of efficiently encoding and decoding and displaying and outputting various image video information are achieved. According to the invention, multi-format video coding and decoding, real-time processing and high-quality display output are supported, and the coding efficiency is obviously improved; according to the invention, a high-bandwidth reconfigurable interconnected PCIe Switch architecture is adopted, the I / O transmission bottleneck is eliminated, and a dynamic bandwidth allocation function is realized; on the premise that high performance is guaranteed, a high-performance miniaturized structural design is adopted, the application requirement of a compact space scene is met, and the application potential is expanded.

The invention discloses an Internet of Things data processing method and an Internet of Things system, and the Internet of Things data processing method comprises the following steps: S1, data collection; s2, data transmission; s3, data preprocessing; s4, data analysis; and S5, decision execution, and the Internet of Things data processing system comprises a sensing layer, a network layer, a processing layer and an application layer. According to the method, the adaptive sampling technology and the multi-link transmission technology are combined with a dynamic bandwidth allocation strategy, and the algorithm based on machine learning and deep learning is adopted, so that the system is endowed with powerful data processing capability, and a more comprehensive basis is provided for decision making by combining an association rule mining algorithm, and the accuracy and the real-time performance of data processing are improved; and the intelligent development of the application of the Internet of Things is powerfully promoted.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a configuration indicating a shared bandwidth allocation. The UE may receive an uplink grant that indicates an uplink resource allocation. The UE may transmit data associated with a logical channel (LCH) in the uplink resource allocation, wherein the data associated with the LCH that is transmitted in the uplink resource allocation occupies at least a portion of the shared bandwidth allocation. Numerous other aspects are described.

The invention provides a dynamic resource isolation method and device, electronic equipment and a storage medium, and relates to the technical field of communication. A resource allocation strategy containing a private network slice minimum bandwidth reservation proportion and a public network user maximum bandwidth limit proportion can be generated based on the service type identification result and the service flow prediction data; and base station scheduling parameters and core network flow routing can be adjusted according to the strategy so as to realize public and private network user resource isolation through a dynamic bandwidth allocation mechanism and network slice mapping, and meanwhile, network state changes are evaluated regularly and a resource allocation strategy is adjusted based on an evaluation result. The problem that in the prior art, resource allocation cannot adapt to dynamic service requirements can be solved.

The utility model relates to computer interface conversion technical field especially, it relates to a kind of XMC NVMe card multifunctional adapter plate, including adapter plate, the adapter plate is equipped with XMC interface, PCIe interface, NVMe controller, dynamic bandwidth distributor;The XMC interface is two independent XMC connectors, for connecting XMC module;The PCIe interface is for adapter plate insertion PCIe slot of mainboard;The NVMe controller is electrically connected between XMC interface and PCIe interface, supports dual-port NVMe 1.4 protocol, for realizing the NVMe protocol conversion and command processing between XMC module and host system;The dynamic bandwidth distributor is electrically connected between the NVMe controller and PCIe interface, for according to preset mode, dynamically adjust the PCIe channel quantity distributed to two XMC modules, the utility model can be realized by FPGA dynamic bandwidth distributor, flexibly adjust PCIe channel distribution, solve the problem of resource waste caused by fixed bandwidth, while combining temperature control module and dual-port NVMe management, improve expandability and reliability.

The application relates to the field of quantum key distribution and network security technology, in particular to a zero-trust encryption tunnel construction method and system based on quantum security enhancement. In the system, a QKD key management unit binds a global timestamp to a pre-distributed key by using the natural synchronization characteristics of quantum key generation, realizing high-precision time synchronization at both ends of communication; a local AI risk inference unit deploys a lightweight model optimized by quantitative distillation, completing real-time inference of local security risks at the edge; a double-rail encryption tunnel unit constructs parallel double tunnels and realizes adaptive scheduling of encryption resources through dynamic bandwidth allocation; a dynamic switching control unit realizes seamless switching of the encryption tunnel through handshake-free tunnel switching and state verification rollback; and a mobile adaptation processing unit completes high-probability link key pre-distribution based on trajectory prediction, realizing efficient adaptation of the key of the mobile terminal, so that the real-time performance, stability, bandwidth utilization and key resource use efficiency of the encryption communication are improved.

Systems and methods for dynamic bandwidth allocation and jitter handling in multi-tiered satellite networks such as virtual communication networks and / or physical communication networks. The system includes bandwidth distributing (BD) unit, in-route group managers (IGMs), in-route bandwidth manager (IBM). The system functions in multi-tier network entity management mode, and multi-beam management mode. The system operates by periodically collecting bandwidth reports from IGMs. The BD unit analyzes data in report and compares aggregated bandwidth demand with pre-defined thresholds. If thresholds are exceeded, system switches to multi-tier network entity management mode. In this mode, BD unit determines individual bandwidth adjustments for virtual network and beams and allocates bandwidth for individual devices within virtual network. Further, BD unit transmits this information to IBM, which applies allocations, and receives and transmits a scaling factor back to IGM indicating utilization of allocated bandwidth. Further, BD unit switches back to multi-beam management mode based on comparison result.

Facilitating radio access network on-demand dynamic bandwidth allocation in advanced networks is provided herein. Operations of a system include determining that a group of network slice resources associated with network equipment fail to satisfy a specification applicable to a user equipment. The operations can also include extracting a first group of resource blocks from a first network slice resource of the group of network slice resources. Further, the operations can include reallocating the first group of resource blocks to a second network slice resource of the group of network slice resources. A combination of the first group of resource blocks and a second group of resource blocks of the second network slice resource is determined to satisfy the specification applicable to the user equipment.

The invention discloses a dynamic bandwidth allocation method and system in an SDN (Software Defined Network) environment, and relates to the technical field of bandwidth allocation, and the method comprises the following steps: obtaining network topology information through an SDN controller, the network topology information comprising a network node set and a physical link set; a plurality of same physical links of the source node and the target node are logically aggregated to form a virtual link, and the virtual link is responsible for dynamically adjusting the bandwidths of the plurality of corresponding physical links; the method comprises the following steps: collecting real-time traffic demands of each node pair in a network through an SDN controller, and constructing a traffic demand matrix; wherein the source node and the target node form a node pair; and solving the linear programming model based on the plurality of virtual links and the traffic demand matrix to obtain an optimal bandwidth allocation scheme. According to the method, the linear programming model is solved through the traffic demand matrix constructed through real-time traffic and the virtual link, and global optimal distribution of network resources is achieved.

The invention discloses a dynamic bandwidth allocation method and device, a medium and a product, and relates to the technical field of model training. The dynamic bandwidth allocation method comprises the following steps: acquiring gradient tensor metadata of each computational node in a cross-modal model; performing global sorting on the gradient importance score in the gradient tensor metadata of each computational node, determining a gradient scheduling priority, and determining a bandwidth upper limit threshold matched with the gradient tensor according to the gradient importance score in the gradient tensor metadata of each computational node and the total bandwidth to be allocated; and generating a decision scheduling instruction according to the gradient scheduling priority and the bandwidth upper limit threshold matched with the gradient tensor. According to the technical scheme of the embodiment of the invention, dynamic bandwidth resource allocation can be carried out in the model training process, the model training process is accelerated, and efficient utilization of network resources is realized.

The invention discloses a flow control method and device for a smart city internet access service. The method comprises the following steps: collecting real-time flow data and network state parameters of each access node in a smart city internet access network; dynamically identifying and classifying the service type of the data flow corresponding to each access node based on a service type identification rule and the real-time flow data of each access node; according to the service type of each data flow and the real-time flow data and the network state parameters of the access node generating the corresponding data flow, calculating the priority weight of each data flow and distributing an initial guarantee bandwidth; constructing a dynamic bandwidth allocation model based on the priority weight, and allocating an instantaneous available bandwidth to each data stream by using the dynamic bandwidth allocation model; and when monitoring that the smart city interconnection access network is congested, adjusting bandwidth allocation according to the priority weight of each data flow. According to the invention, the stability and service fairness of key services can be improved, and the user experience and network performance are optimized.

This invention discloses a real-time transmission and management system for ETC intelligent control cabinet operation data, comprising: a cabinet status perception Bayesian network module, a dynamic bandwidth allocation game theory model module, a transmission link reliability assessment model module, a cabinet edge resource optimization and configuration platform module, an ETC operation data acquisition module, and a data transmission control module. The system acquires transaction, equipment, and communication data within the cabinet through the ETC operation data acquisition module, combines this with cabinet operation parameters captured by the cabinet status perception module, formulates an optimal bandwidth strategy through the dynamic bandwidth allocation module, determines the link status through the transmission link assessment module, configures edge node resources through the edge resource optimization platform, and finally dynamically adjusts the transmission parameters through the data transmission control module. This system achieves multi-module collaborative operation, improves the real-time performance and stability of ETC operation data transmission, increases edge resource utilization, effectively solves the problems of multi-module disconnect and poor data fusion in existing technologies, and ensures the efficient operation of the ETC system.

The present application relates to the technical field of power system, particularly relates to a kind of time sequence simulation method of new energy cloud energy storage operation mechanism.The present application includes: collecting the output data of new energy power system, the data collected are cleaned, standardized and formatted processing.User behavior characteristic analysis, the user electricity consumption behavior collected is classified;A multi-time phase generation network model is constructed, the prediction data of future power system state is learned from historical data and is predicted;According to the prediction data of future power system state and real-time data predicted, dynamic bandwidth allocation strategy is constructed, and the charge-discharge plan of energy storage device is formulated;Real-time data and charge-discharge plan generated are used for identification, and the operation state of power system is classified;A multi-dimensional time sequence simulation model is constructed.The various factors influencing cloud energy storage operation are considered, more accurate simulation prediction is provided, and the adjustment and response capability of power grid to fluctuating energy is improved.

Example embodiments provide a computer-implemented method (300) for optimizing bandwidth allocation within a point-to-multipoint (P2MP) optical network (100), the P2MP optical network (100) comprising a central network node (110) configured to communicate with a client network node (130, 140, 150); wherein a transmission opportunity (133, 142, 143, 144, 154, 155) between the respective client network node and the central network node is allocated according to a dynamic bandwidth allocation based on bandwidth requirements of the respective client network node and limited to traffic descriptor parameter values of the respective client network node; the computer-implemented method comprises: obtaining (301) one or more network metrics (310) indicative of a network architecture of the P2MP optical network or network utilization of the P2MP optical network; and if (302) the at least one network metric satisfies the trigger criterion, updating (303) one or more of the traffic descriptor parameter values as new values based on one or more of the network metrics.