1074 results about "Bandwidth utilization" patented technology

The invention provides a bandwidth regulation and control and visitor flow routing optimization method and system for multi-scene live broadcast, and relates to the technical field of intelligent routing, and the method comprises the steps: collecting live broadcast data, constructing a feature vector, and training a scene classification model; analyzing bandwidth requirements by using a time sequence prediction algorithm, and formulating a differentiated bandwidth allocation strategy; and an edge node load monitoring mechanism is established, a multi-target routing optimization model is constructed, and real-time scheduling optimization of visitor flow is realized. The method can effectively improve the bandwidth utilization rate and the user experience quality of the live broadcast platform.

The invention provides a private domain live broadcast bandwidth resource allocation and routing method and system based on reinforcement learning, and relates to the technical field of computer networks, and the method comprises the steps: collecting real-time data such as the number of users, geographical distribution, terminal types, content types, network delay, packet loss rate, bandwidth utilization rate and the like in a live broadcast room, and inputting the real-time data into a pre-trained reinforcement learning model; the model is based on a state space, features are extracted by using a deep neural network, bandwidth resource constraints are combined, and a bandwidth allocation and routing strategy is generated by adopting a strategy gradient algorithm; and according to the strategy, the software defined network controller adjusts bandwidth allocation parameters and routing table configuration in real time to realize differentiated bandwidth allocation and path optimization, establishes nearby access edge nodes based on user geographical distribution, and dynamically adjusts the path during congestion.

The invention discloses a deep reinforcement learning-based network traffic optimization scheduling method suitable for periodic traffic characteristics. The method comprises the following stages: collecting historical periodic traffic data; a network state is monitored in real time through an SDN controller, and historical periodic flow data including time delay, bandwidth utilization rate and load information are acquired; data preprocessing: performing cleaning, normalization and time sequence segmentation on the collected historical traffic data; constructing an LSTM model, constructing the LSTM model by using the preprocessed historical data, and defining an input feature and an output tag; training an LSTM model, training the LSTM model by using the training set data, and generating traffic prediction data of a next period; constructing a state space, fusing the predicted traffic data with the real-time traffic data, and constructing the state space; training a DQN model, and training a deep Q network (DQN) model by using the constructed state space; network topology and link state information are obtained, the current network topology is obtained through a topology discovery module of the SDN controller, and the bandwidth utilization rate, time delay and packet loss probability information of a link are collected in real time through a flow monitoring module; large flows and small flows are distinguished; scheduling the small flow by using the ECMP; and scheduling the large flow by using the DQN model.

The invention relates to the technical field of communication networks, and discloses a service channel time slot allocation method, which comprises the following steps of: 1, acquiring network data in real time from network equipment, the network data comprising bandwidth utilization rate, delay, packet loss rate and service flow type; 2, predicting future network flow fluctuation through a long-short-term memory network model based on historical flow data and real-time network data; and step 3, dynamically adjusting the allocation of time slot resources according to the network flow fluctuation prediction result, and preferentially allocating the time slot resources for high-priority services. According to the method, the dynamic adjustment of the time slot resources is realized by combining the flow prediction of the LSTM model and the Q-learning reinforcement learning algorithm, so that the system can flexibly allocate the resources according to the actual network load condition, the resource waste is reduced, the utilization efficiency of the bandwidth is improved, and the utilization rate of the overall network resources is remarkably improved especially under the condition of high network load.

The invention provides a communication performance test method and system for a base station network side transmission path. The method comprises the following steps: determining a target monitoring node from a plurality of monitoring nodes deployed on a network side transmission path of a to-be-tested base station, and monitoring transmission delay data, packet loss rate data and bandwidth utilization rate data of a test data stream on a specific road section of the transmission path in real time; detecting periodic and non-periodic changes of transmission delay to obtain an analysis result; evaluating the influence of the packet loss rate data on the transmission performance to obtain an evaluation result; predicting the change trend of the bandwidth utilization rate data to obtain a prediction result; calculating a communication performance index of the specific road section by integrating the three results; and generating a communication performance test report according to a comparison result whether the communication performance of the specific road section reaches a predetermined standard. The communication performance of the base station network side transmission path is comprehensively evaluated by integrating the chaos theory, the fuzzy logic system and the deep learning algorithm, so that the communication performance testing efficiency is improved.

According to the packet loss prevention data transmission method and device, the equipment and the storage medium provided by the invention, the network index data of the current network is acquired in response to the data transmission instruction; inputting the network index data into a network state prediction model to obtain a prediction result of the current network state; determining an FEC redundancy strategy according to the prediction result; according to the FEC redundancy strategy, performing redundancy coding on to-be-transmitted data to obtain a redundancy data packet; and sending the data to be transmitted and the redundant data packet to a target receiving end. According to the predicted network state, the number of redundant data packets can be dynamically adjusted, unnecessary redundant data transmission is reduced, and the bandwidth utilization rate is improved. Unnecessary bandwidth waste is reduced through adjustment of dynamic redundancy coding, it is ensured that enough fault-tolerant capacity is provided when the network is unstable, data integrity is effectively ensured, and meanwhile audio and video transmission fluency and stability are improved.

Some embodiments of the invention provide a method for performing congestion control for multiple packet flows traversing a network that includes multiple machines executing on one or more host computers. The method is performed at a distributed bandwidth utilization manager (DBUM) that manages bandwidth utilization in the network. The method receives state data associated with the multiple packet flows from the multiple machines. The method determines (1) that state data associated with a subset of packet flows in the multiple packet flows indicate the subset of packet flows have run to completion and (2) that a particular packet flow in the multiple packet flows should receive more bandwidth. Based on said determining, the method directs a source machine of the particular packet flow to increase an amount bandwidth allocated to the particular packet flow.

The invention relates to the technical field of data exchange, in particular to a TCP-IP protocol-based application program data interaction method, which comprises the following steps of: collecting a signal quality index of application program data in a physical layer, capturing signal quality data of each node through real-time network monitoring, and performing time sequence analysis; and extracting a signal quality trend and an abnormal point, and generating an initial signal analysis result. According to the invention, through real-time analysis and trend prediction, potential problems in the network path can be effectively predicted, network path optimization is realized, the data are analyzed through the reinforcement learning model, the network path is predicted and optimized in real time, the adaptive adjustment capability of the network is enhanced, and the data transmission efficiency is greatly improved. Through simulation testing and real-time monitoring, delay reduction of data transmission and bandwidth utilization maximization are ensured, and then through dynamic adjustment of the size of a TCP window, adjustment is performed according to real-time network congestion conditions, and the overall performance of the network is greatly optimized.

The invention provides a dynamic multi-link intelligent management and scheduling system, and relates to the technical field of network communication. According to the system, real-time monitoring, dynamic management and transmission data scheduling of a network link can be realized, and the problems of low bandwidth utilization rate and insufficient transmission efficiency in the prior art are solved. The method comprises the following steps: firstly, acquiring and monitoring state information of each link in real time through an intelligent agent technology below a link layer; and secondly, the system performs link admission control according to real-time monitoring data by using a dynamic regulation rule method, and dynamically judges whether a new relay link needs to be established and provides an optimal relay node selection when the data transmission bandwidth between the two nodes is insufficient. And finally, multi-link transmission data scheduling is carried out by adopting a mode of combining deep reinforcement learning and a heuristic scheduling algorithm, and the bandwidth utilization rate is improved to the maximum extent. On the whole, an efficient and intelligent network link management scheduling scheme is provided through combination of methods of intelligent proxy, dynamic regulation rules, deep reinforcement learning and the like, and the utilization rate of network resources and the quality of data transmission are effectively improved.

The invention discloses a GPRS-based environmental protection data acquisition method and system, and relates to the technical field of environmental protection data acquisition, and the method comprises the steps: collecting environmental data, and dynamically adjusting the sampling frequency according to the change of the environmental data; compressing the collected environment data, and adaptively adjusting the compression ratio according to the change rate of the data; compressed data are transmitted through GPRS, energy is dynamically distributed based on intelligent energy management, and the power consumption of each device is regulated and controlled. According to the method, the bandwidth and the compression ratio are dynamically adjusted, transmission can be optimized according to the real-time network condition, bandwidth resources are fully utilized, and resource waste or overload is avoided. By monitoring the bandwidth in real time and dynamically adjusting the size of the data block, the bandwidth utilization rate is improved, and the problem of bandwidth waste in the prior art is solved.

Acknowledgement messages for a link in a computing network are accessed. Round trip time (RTT) measurements for the link are accessed. In response to determining that none of the acknowledgement messages are Explicit Congestion Notification (ECN)-marked and none of the accessed RTT measurements exceeded a minimum expected latency threshold, it is determined that an end-to-end path of the link is not congested.

The invention discloses a one-way optical shutter video stream transmission method based on weak supervision semantic segmentation, and belongs to the technical field of one-way optical shutter information transmission. Comprising the following steps: carrying out key region and background region classification and marking on all video data received by an optical shutter outer end through a weak supervision semantic segmentation model; performing priority division on a key region and a background region in the video frame; dividing the data packets according to time windows, and packaging the data packets; performing dynamic data compression and segmented coding on the packaged data packet; reed-Solomon redundant coding is carried out on all the data packets of the key area after compression coding is carried out on the data packets of the key area; dynamically adjusting the transmission sequence of the data packets to perform link scheduling; and a receiving end carries out de-encapsulation and data restoration, and reconstructs the restored video frame. According to the method, redundancy and compression of data transmission contents are accurately controlled, so that the transmission efficiency and reliability are remarkably improved, the bandwidth utilization is optimized, and the transmission reliability and stability are enhanced.

The invention discloses a communication method for broadband communication and satellite fusion, which comprises the following steps of: classifying data streams, ensuring priority transmission of high-priority data streams by adopting a self-adaptive flow control protocol, carrying out load balancing according to link quality in combination with a satellite and a ground communication link, and when the communication link fluctuates, outputting the data streams. The method can automatically switch to a backup link or adjust a transmission mode, guarantees the communication stability, predicts the satellite communication time delay through deep learning, carries out the time delay compensation, optimizes the communication efficiency, intelligently allocates bandwidth resources according to the user demands and geographic positions, optimizes the bandwidth utilization rate, reduces the data transmission amount through a self-adaptive compression algorithm, and improves the bandwidth utilization rate. Therefore, the problems of non-uniform bandwidth utilization, unstable link, delay fluctuation and insufficient flow control in the prior art are solved, and through intelligent prediction and real-time adjustment, the system can efficiently utilize bandwidth resources, ensure communication stability, reduce delay fluctuation and improve overall communication quality.

The invention relates to the technical field of WAPI communication management, in particular to a monitoring terminal wireless access communication management system based on WAPI, which comprises a WAPI route optimization module, a signal monitoring module, a bandwidth prediction module, a bandwidth resource management module, a flow regulation and control module and a data performance feedback module. According to the method, the data routing is dynamically adjusted by analyzing the network delay and the bandwidth utilization rate in real time, so that the delay and the packet loss rate in data transmission are remarkably reduced, the system can intelligently adjust according to the real-time change of the network condition, the overall operation efficiency of the network is improved, and the bandwidth utilization trend is analyzed, so that the bandwidth utilization rate is improved. According to the method and the system, future requirements are predicted, resource allocation is optimized according to the future requirements, the bandwidth resource overload condition is relieved, system collapse is prevented, the LSTM model predicts the peak value and the valley value of the network flow, the accuracy and the efficiency of channel allocation are improved, and a WAPI wireless communication main body is safer, more efficient and wider in channel.

The invention discloses a satellite-ground cooperative wide-area real-time communication system and a communication method thereof, and relates to the technical field of satellite-ground cooperative communication, and the communication method comprises the following steps: deploying a satellite-ground cooperative network, configuring initial link parameters and node identifiers of a satellite and a ground station, and establishing a link state table; the link state data in the link state table are fed back to the control end, and the control end calculates a link comprehensive score based on the link state data; according to the real-time optical communication channel state and the interference condition, the light beam direction is dynamically adjusted, communication channel reconstruction is carried out, and the optimal optical communication channel is selected; transmitting the encoded data stream to a receiving end through the optimal optical communication channel, and decoding the encoded data stream by the receiving end through a decoder to generate link quality data; and updating the link state table according to the link quality data. Based on the real-time optical communication channel state and the interference condition, the light beam direction is dynamically adjusted, the communication channel is reconstructed, the optimal transmission path of the channel is ensured, and therefore the signal transmission quality and the bandwidth utilization rate are improved.

The invention relates to the technical field of network communication, in particular to a remote fault diagnosis method and system based on an FTTR network and a storage medium. The method comprises the following steps that a monitoring module used for monitoring the network state is deployed on a node of each FTTR network, each monitoring module is provided with a data acquisition unit and a state analysis unit, and each node collects network state data in real time through the monitoring module. The network state data comprises monitoring network delay, packet loss rate, equipment temperature and bandwidth utilization rate, and the network state data is preliminarily analyzed through the data acquisition unit and is compared with historical data to determine the change trend of the current state. According to the invention, through a distributed management mode, a single-point fault problem in traditional centralized management is avoided. Each FTTR node can independently monitor the state of itself and work cooperatively with other nodes, even if a certain node breaks down, other nodes can still work normally, and the stability of the whole network is ensured.

The invention relates to the technical field of data flow control, in particular to a heterogeneous data flow synchronous control method and system.The method comprises the following steps that multi-source data segment receiving time is obtained, a time interval sequence is constructed, an interval difference value and a synchronous difference quantity are calculated, the sensitivity level is judged, a channel throughput change is extracted, a descending section is marked, and a priority index is generated; and mapping the high-sensitivity stream to a first-stage or second-stage output path to sort and distribute key stream segments, judging that serial numbers are continuously combined or independently output, and generating intersection and sequence information. According to the method, the time interval sequence is constructed based on the receiving time of the multiple data sources, the interval deviation is quantified, the labels are divided through the synchronization difference quantity, the sensitive level structure is established, differential management of the synchronization precision requirement of the heterogeneous data streams is achieved, the response efficiency and the alignment precision of the high-sensitivity data segments are improved in the data distribution process, and the data distribution efficiency is improved. And meanwhile, the competition of a low-sensitivity section for output resources is reduced, and the synchronous time sequence coordination capability and the channel bandwidth utilization rate in a multi-source heterogeneous environment are improved.

The invention discloses a memory prefetching control method and device, a storage medium and a program product, and relates to the technical field of computers. A heterogeneous logic model covering multiple access modes is constructed, a prefetch strategy candidate set is generated based on standard logic models corresponding to different access modes, the expression limitation of a single model on complex multi-mode access features is broken through, and access laws in different scenes can be comprehensively covered; through calculation, sorting and screening of the prefetch cost, targeted evaluation of the strategy is realized, bandwidth load aggravation and resource waste caused by redundant prefetch are avoided, and optimization of the target prefetch strategy in the aspects of low delay and high bandwidth utilization rate is ensured. According to the method and the device, the problems that a fixed logic model is difficult to adapt to dynamic diverse memory access behaviors and resource utilization is low in efficiency in the prior art are solved, and the technical effects that the method does not need to depend on fixed logic, can dynamically adapt to the change of the access mode through flexible combination and strategy screening of heterogeneous models, and is particularly suitable for terminal equipment with limited resources are achieved.

Embodiments of this application disclose a data transmission method and a communication device, to improve channel bandwidth utilization and data transmission efficiency. The data transmission method provided in embodiments of this application includes: performing clear channel assessment on an existing wireless fidelity Wi-Fi channel to obtain a channel assessment result; determining a target channel based on the channel assessment result, where a bandwidth of the target channel is greater than 80 megahertz MHz, and the bandwidth of the target channel is not a bandwidth of the existing Wi-Fi channel; and sending data to a receiving end through the target channel, or receiving data from a transmitting end through the target channel.

The invention relates to a message uploading method, a data processing unit and a network processor, and the method comprises the steps: obtaining the number of messages currently cached in the data processing unit in a target queue, so as to determine the number of descriptors to be read, obtaining the descriptors in batches through one PCIe reading operation, and sending the descriptors to the target queue; the messages of the currently cached target queue are written into host side caches pointed by the descriptors, and every time one message is successfully uploaded, one is subtracted from the message count of the currently cached target queue; and if the currently read descriptor is used up, but the target queue has unprocessed messages, repeating the above steps, determining and reading the required descriptor according to the number of the remaining messages of the currently cached target queue again, continuing to write the messages, and repeating the above steps. And all the messages of the currently cached target queue are successfully carried to the host side for caching. According to the method and the device, the message uploading efficiency and the bandwidth utilization rate are improved by optimizing the descriptor reading mode.

The invention relates to the technical field of network communication and route management, in particular to an intelligent router flow management method for a home scene, which comprises the following steps that: a home router collects network activity data of equipment, including data flow size, connection frequency and equipment type, performs cleaning and formatting processing, and stores the data flow size, the connection frequency and the equipment type; formatted device behavior data is generated. According to the method for analyzing the behavior data of the home network equipment based on the long and short-term memory network, the prediction precision of the periodicity and dependency of user behaviors is improved, and the allocation of bandwidth resources is more prospective and dynamic. Specifically, resources can be automatically adjusted according to predicted data requirements, and particularly in the peak period of requirements, it is ensured that key applications such as video conferences and online education preferentially obtain necessary network resources. According to the flow management technology, the overall operation efficiency of the network is improved by optimizing bandwidth utilization and reducing network congestion.

The invention provides a network flow control method and system, an engine, a node and related equipment, and relates to the technical field of communication. The method comprises the steps that communication information of a source computing power node is received, and the communication information comprises identification numbers of the source computing power node and a target computing power node and an identification number of a source port selected by the source computing power node; determining an optimal source port and a sending rate of the source computing power node based on the communication information; determining a forwarding path of the source computing power node based on the optimal sending port; configuration information is sent to the source computing power node, and the configuration information comprises the sending rate and the forwarding path. By means of the technical means, the problems that in network data transmission in the related technology, the link bandwidth is not fully utilized, and burst transmission flow cannot be dealt with are solved.

The invention discloses an intelligent and automatic transformer substation information acquisition system, which relates to the technical field of information acquisition, and is characterized in that an information change coefficient and an information priority coefficient are acquired and substituted into a logistic regression model to obtain an information potential evaluation coefficient, the information potential evaluation coefficient is analyzed with a preset potential threshold to obtain a comparison result, and the transformer substation information is acquired according to the comparison result. Dividing to obtain a real-time acquisition potential information set and a non-real-time acquisition potential information set, substituting into a default score combination mechanism, determining an actual classification acquisition result of each piece of information, obtaining a network state when each piece of information is uploaded, obtaining a network delay degree and a bandwidth utilization rate from the network state, and substituting into fuzzy logic for fuzzy reasoning to obtain a real-time acquisition potential information set and a non-real-time acquisition potential information set; according to the method, the reasonability result of the default score combination mechanism is determined, then the network delay degree and the bandwidth utilization rate when each piece of information is uploaded are substituted into set parameters in the default score combination mechanism, the score combination mechanism is determined and adjusted, and the information redundancy and the system burden are reduced.

A computer-implemented method, system, and computer program product for maximizing bandwidth utilization of PCIe links. The bandwidth utilization of a PCIe link involving a PCIe card is measured. A bandwidth utilization of the PCIe link at a future time is predicted based on the measured bandwidth utilization of the PCIe link using a machine learning model trained to predict bandwidth utilization of PCIe links. If the predicted bandwidth utilization of the PCIe link exceeds a threshold value, then the PCIe card is configured to implement a first mode of operation that utilizes more bandwidth if not implementing the first mode of operation at the future time. If the predicted bandwidth utilization of the PCIe link does not exceed a threshold value, then the PCIe card is configured to implement a second mode of operation that utilizes less bandwidth if not implementing the second mode of operation at the future time.

The invention relates to the technical field of audio and video coding, decoding and processing, provides an audio and video signal transmission method and system based on software and hardware cooperation of an autonomous controllable architecture, and solves the problem of low bandwidth utilization rate. The method comprises the following steps: synchronously acquiring bandwidth fluctuation, packet loss rate and transmission delay parameters of a mobile terminal link, and generating a network state level through association analysis; performing resolution scaling on a brightness component of a video frame, performing dynamic downsampling on a chrominance component, generating a resolution reduction frame adaptive to a network state, and generating a fault-tolerant coding stream by combining a packet loss rate regulation and control quantization step size, a frame group length and an inter-frame prediction mode; performing entropy decoding and motion compensation to align brightness and chrominance components, forming a decoding reconstruction frame, performing multi-scale feature extraction and detail compensation, generating an enhanced brightness graph, and performing independent reconstruction on chrominance decoding components; and outputting an original resolution video frame through color reconstruction fusion. According to the invention, high-definition video low-delay transmission under network fluctuation is realized, and both bandwidth adaptability and image quality restoration precision are considered.

The invention relates to the technical field of communication networks, in particular to a dynamic resource allocation method and system for an industrial 5G network. The method comprises the following steps: acquiring industrial terminal data; identifying network congestion nodes based on industrial terminal data; detecting a link congestion fault according to the network congestion node, and determining a bandwidth utilization rate; allocating spectrum resources based on the bandwidth utilization rate; performing frequency spectrum slicing on the frequency spectrum resources, and determining a flow load amount; adjusting load balance according to the traffic load, and generating a load resource report; dynamically adjusting time slot allocation by using a load resource report, and determining a task priority; task scheduling simulation is executed according to the task priority, and if congestion occurs, a congestion snapshot is stored; reducing scheduling conflicts according to the congestion snapshots, releasing bandwidth resources, and determining available network slice capacity; power resources are dynamically adjusted based on available network slice capacity. The bandwidth utilization rate and the task scheduling efficiency of the industrial 5G network are improved based on the communication network technology.

The invention relates to the technical field of Internet, and discloses a bandwidth control method and device, equipment and a storage medium, and the method comprises the steps: determining a target resource address corresponding to a current request based on the address information of the current request in response to the issuing of the current request; the current request number and the request number threshold value of the target resource address are obtained, and the request number threshold value is determined based on the real-time bandwidth and the redundant bandwidth of the target resource address; and if the current request number is smaller than or equal to the request number threshold value, scheduling the current request to a target resource address, so that a target machine corresponding to the target resource address serves the current request. Therefore, the request number threshold value of the target resource address is determined based on the real-time bandwidth and the redundant bandwidth of the target resource address, so that prediction control is performed on the number of requests which can be borne by a machine, the bandwidth of the machine is controlled to fluctuate in a small range near the bandwidth threshold value, and the service quality of a service is not influenced while the bandwidth utilization rate is guaranteed.

The invention provides a game accelerator packet loss optimization method and device based on flow priority management. The method comprises the following steps: executing periodic link detection on at least one proxy node, and generating a corresponding link monitoring result; judging whether the packet loss rates of two continuous monitoring periods exceed a first threshold value or not according to the link monitoring result; performing real-time classification on the to-be-sent data streams to obtain priority labels for different traffic categories; inputting a prediction algorithm based on a link monitoring result, obtaining a network quality prediction value of a next monitoring period, adaptively adjusting a redundancy proportion according to the network quality prediction value, and sending a queue bandwidth constraint parameter and an agent node; and sending the sorted source data packet and the redundant data packet to a target game server or a game client according to the updated proxy node so as to realize accelerated forwarding of the game data. According to the invention, the reliability, delay stability and bandwidth utilization rate of game data transmission in a cross-border high packet loss network environment can be improved.

The invention relates to the technical field of communication route searching, in particular to a photovoltaic power station data transmission and monitoring system based on the 5G technology, and the system comprises a route state monitoring module which carries out the collection and statistics of the time delay value, bandwidth utilization rate and congestion degree value of each transmission link in a 5G base station service area, and generates a link state parameter set. According to the invention, the time delay value, the bandwidth utilization rate and the congestion degree value of each transmission link in the 5G base station service area are collected and counted, and the resource utilization efficiency is calculated based on the network load balance value and the energy consumption threshold value, so that the link state evaluation has dynamics and real-time performance, and the availability of different links can be described. And the links are calculated and screened based on the energy consumption load ratio to form a priority sequence of the transmission paths, so that the data traffic can be preferentially allocated to the link with the optimal transmission efficiency, and the occupation of the overall bandwidth by invalid traffic transmission is reduced.

The invention discloses a power consumption optimization method and device of a solid state disk controller, equipment and a medium, and relates to the field of computers, and the method comprises the following steps: determining an uplink bandwidth demand and a downlink bandwidth demand of a nonvolatile memory fast solid state disk controller according to a response rate of a completion queue and a target attribute of each input / output request; determining a unidirectional maximum transmission bandwidth of the communication bus according to a link rate and a link width of the communication bus, and determining a current uplink bandwidth utilization rate and a current downlink bandwidth utilization rate of the communication bus according to the unidirectional maximum transmission bandwidth, the uplink bandwidth demand and the downlink bandwidth demand; and adjusting the link rate of the communication bus according to the current uplink bandwidth utilization rate and the current downlink bandwidth utilization rate. According to the method and the device, the power consumption optimization of the nonvolatile memory fast solid state disk controller is realized.