16 results about "Arrival process" patented technology

The invention discloses a high-density storage system order batch optimization method and system under uncertain factors. The method comprises the steps of obtaining order data and performing preprocessing; inputting the preprocessed data into an order batch sorting model, and carrying out order task allocation according to an output result; and the order batching model is established by combining customer order returning tendency prediction, fusing a dynamic decision rule and a batching clustering algorithm with capacity limitation and taking minimization of all order sorting completion time as an objective function. According to the method, the order batch sorting model fusing the dynamic decision rule and the batch clustering algorithm with capacity limitation is provided, the orders can be batched in real time according to the real-time arrival state and number of the orders and the capacity of the workbench in the order arrival process, the defect of fixed time window batch is avoided, resource allocation can be flexibly adjusted, and the efficiency of batch sorting is improved. The equipment utilization rate is effectively improved; and in combination with customer order returning tendency prediction, the order batch sorting result is more accurate and efficient.

This invention discloses a low-power micro-flow sensing node acquisition and collaborative monitoring method, relating to the field of sensing data acquisition and collaborative monitoring technology. The technical solution involves: acquiring system operation observation information, distinguishing between the effective observation process and the data arrival process of nodes, forming a node sampling visibility interval, and generating sampling coverage results, sampling gap results, control action candidate effective windows, and logical topology effective windows; then performing window constraint deviation screening on the micro-flow sampling sequence to generate anomaly pending segments, physical connectivity candidate windows, and dynamic collaborative edge states; subsequently, performing causal consistency verification based on the dynamic collaborative edge states to generate topology inconsistency markers, causal reversal markers, and anomaly attribution results; finally, forming an unconfirmed window set, generating a low-power acquisition strategy for the next cycle, and outputting the micro-flow collaborative monitoring results, thereby reducing misattribution of anomalies caused by low-power sampling gaps, control action lag, and topology switching inconsistencies.

The invention discloses a forward erasure coding design method based on Markov arrival process queue analysis, and the method comprises the steps: obtaining actual measurement star chain data, carrying out the modeling of a low earth orbit loss trajectory, and obtaining a feature matrix of a corresponding Markov arrival process through an expectation maximization algorithm; establishing an elastic FEC (Forward Error Correction) transmission scheme for sending a repair packet at a fixed interval d; describing FEC decoding time delay for the busy period of the decoder based on the MAP / D / 1 queue; based on an embedded Markov update process MRP, decoding time delay is solved through a matrix analysis method, and an expected busy period under constant service time is obtained; the MAP / D / 1 queue busy time is subjected to fitting of low earth orbit satellite communication FEC decoding time delay, and the decoding time delay is analyzed; according to the invention, while the transmission reliability is ensured, the throughput of the system is effectively improved, the head-of-queue blocking effect is reduced, and the overall performance of the low-orbit satellite network in the high-dynamic environment is finally obviously improved.

This invention proposes a train system maintenance strategy optimization method considering imperfect maintenance under dynamic environments. It characterizes the train system degradation path and impact arrival process based on a Markov process-modulated gamma process and a homogeneous Poisson process, respectively; determines the impact mechanism of imperfect maintenance on system degradation; establishes a reliability model considering imperfect maintenance to characterize the system's competitive failure process; and uses the update reward theorem to establish a model maximizing the expected profit margin under long-term system operation. Under the dual constraints of limiting average availability and expected operating time, using the number of imperfect maintenance operations between two adjacent replacements as the decision variable, it obtains the maintenance strategy that maximizes the long-term expected profit margin of the system. This invention considers the impact of dynamic environment and imperfect maintenance on train equipment reliability and maintenance strategy, and can obtain the maintenance strategy that maximizes the long-term expected profit margin of the train system while satisfying the expected operating time and limiting average availability of the equipment.

The present application relates to the technical field of packet processing, in particular to a method and device for realizing packet reassembly and verification in a network card chip, comprising the following steps: extracting address identification and fragmentation information to generate flow index and register reassembly table, recording fragmentation according to offset and calculating length, determining total length of packet and updating offset record, judging reassembly completion, splicing in sequence and performing header and transport layer verification after completion, submitting host queue and clearing record after verification, in the present application, source address, destination address and fragmentation related fields are extracted and combined synchronously when receiving data frame, the overall length of packet gradually converges during the process of arriving of fragments, consistency is determined according to the number of theoretical fragments and actual registered number, reassembly completion boundary is determined in advance, waiting and repeated judgment are reduced, abnormal content is identified and intercepted before submission, normal packet directly enters receiving queue according to splicing address and length, the processing path is more concentrated, and the data delivery rhythm is more stable.

The application relates to an end-to-end network slice delay balancing method and system based on random network calculus, and belongs to the technical field of mobile communication. The method comprises the following steps: acquiring the arrival process and service process parameters of a network slice m; calculating the delay upper bound of the network slice m on different service nodes; determining the minimum resource amount required by the network slice m in the RAN domain and the CN domain and allocating corresponding network resources according to the delay upper bound; an end-to-end slice cross-domain coordinator acquires a transmission delay in real time, compares the acquired actual transmission delay with preset delay requirements; and if the actual transmission delay does not meet the delay requirements, the cross-domain coordinator re-allocates network resources according to an end-to-end delay definition delay scaling factor and the delay scaling factor. The application can effectively balance the delay requirements of various end-to-end network slices, optimize resource utilization, improve network performance and ensure efficient transmission of various businesses.

The invention relates to the technical field of satellite communication, and particularly discloses a satellite network routing method and system based on scheduling perception and QoS constraint, and the method comprises the steps: building a statistical model of arrival processes and service processes of services with different priorities based on random network calculation and a yoke theory; constructing a yoke process, determining end-to-end time delay violation probabilities of different priority scheduling strategies, and deducing a time delay violation probability compact upper bound of each service under the corresponding scheduling strategy based on a yoke stop time theorem; constructing a time connectivity graph model, and calculating a link effective connectivity time window; a target path with the optimal comprehensive performance is selected from the feasible paths by adopting a scheduling sensing routing optimization algorithm and taking the weighted sum of the end-to-end delay and the delay violation probability as a target function, so that a deterministic QoS guarantee can be provided in a dynamic satellite network, the network reliability is remarkably improved, and the network performance is improved. And a theoretical foundation is laid for service quality management of the 6G satellite internet.

The application provides a task-critical system operation strategy optimization method for performing heterogeneous tasks, and belongs to the field of system operation strategy optimization. The method comprises the following steps: obtaining posterior distribution of arrival rate and task quantity based on prior distribution of arrival rate and task quantity of each task and new information of the task, and obtaining hyperparameter updating rule and sufficient statistics; describing the degradation process of the system and designing system mode switching strategy and load adjustment strategy; constructing mode switching strategy and load adjustment strategy optimization model based on semi-Markov decision process framework; solving the optimization model by using an improved algorithm to obtain optimal mode switching strategy and load adjustment strategy when each task is completed. The application fully considers cognitive uncertainty caused by unknown parameters in the task arrival process and the task quantity distribution and system accidental uncertainty caused by the dependent relationship between load and degradation, establishes the structural characteristics of the optimal strategy, and realizes optimal strategy solving based on the structural characteristics.

This invention relates to the field of wireless communication technology, and more particularly to a method for modeling packet loss in low-Earth orbit (LEO) satellite networks based on the Markov process of arrival. The invention includes the following steps: S1, establishing a LEO satellite communication data measurement system and acquiring data packet information; S2, processing the measured data from the system and extracting packet loss data from the acquired data packet information; S3, obtaining the packet loss arrival time interval sequence D; S4, using the packet loss arrival time interval sequence D to generate corresponding Markov process of arrival model parameters; S5, generating new packet loss data using the Markov process of arrival model parameters. This invention uses the Markov process of arrival as the packet loss model, providing a new solution for simulating packet loss in LEO satellite networks. It effectively characterizes the frequent packet loss caused by high mobility in LEO satellite networks, achieving a modeling effect that more closely resembles real network packet loss, which is highly beneficial for delay analysis and erasure coding design.

The embodiment of the application relates to the technical field of wireless network control, in particular to a kind of end-to-end delay analysis method, equipment and medium of mobile cyber-physical system, which comprises the following steps: defining arrival process and service process respectively, obtaining arrival cumulative quantity and cumulative service quantity;Respectively, scaling processing is carried out to arrival cumulative quantity and cumulative service quantity;Arrival cumulative quantity and cumulative service quantity after scaling processing are projected to signal-to-noise ratio domain, and network calculus is carried out under signal-to-noise ratio domain, to obtain calculus result;Simplification processing is carried out to calculus result, to obtain simplified formula;Based on lemma, inequality is obtained;And based on simplified formula and inequality, the end-to-end delay limit of stable perception is obtained.The embodiment of the application provides an end-to-end delay analysis method of mobile cyber-physical system, which can at least solve the problem that network calculus cannot be carried out due to the violation of traffic conservation law by mobile cyber-physical system.

The application discloses a power and bandwidth joint allocation method and system for multi-user downlink virtual reality service, comprising the following steps: obtaining a system model of multi-user downlink virtual reality service; obtaining a virtual reality service data packet model; calculating a moment generating function of a service arrival process based on the virtual reality service data packet model; constructing an arrival rate expression based on the moment generating function, and constructing a service rate expression of each user under a time delay violation probability constraint; traversing a discrete power set, and constructing a candidate power-bandwidth pair set based on the system model, the arrival rate expression and the service rate expression; performing Pareto screening on the candidate power-bandwidth pair set, and initializing resource allocation results of each user; adjusting the resource allocation results of each user based on a discrete marginal utility update rule; proportionally compressing a bandwidth proportion, and outputting final resource allocation results. The application can meet the time delay requirement of users, reduce system power consumption and improve bandwidth resource utilization efficiency.

This invention belongs to the field of wireless communication technology, specifically relating to an improved QoS-CSMA / CA method for haptic services. The invention utilizes Pareto distribution to model the data arrival process, and optimizes latency and throughput during network transmission by introducing a token bucket model and a dynamic backoff factor adjustment method. It dynamically adjusts the backoff factor in real-time, statistically analyzing link queue status and latency violations to ensure low latency and high throughput transmission performance. The invention implements a more efficient backoff mechanism and collision avoidance strategy at the MAC layer, meeting users' statistical latency requirements with less resource consumption while improving network throughput. It can efficiently handle the burstiness and heavy-tailed characteristics of haptic services, providing reliable QoS guarantees and higher transmission efficiency for wireless communication systems.

The application discloses a kind of TSN-5G cross-domain fusion network's end-to-end delay modeling method and system, belong to deterministic network communication technical field.This method includes: constructing TSN-5G cross-domain fusion network;Random arrival process model and random service process model of 5G domain service flow are constructed, and then the probability delay upper bound of service flow in 5G domain is calculated;Based on SPI-DCM cross-domain parameter mapping mechanism, the statistical characteristic parameters of service flow are mapped into deterministic arrival curve of TSN domain;End-to-end service curve is constructed for TSN domain node, and is combined with deterministic arrival curve, and the deterministic delay upper bound of service flow in TSN domain is calculated;Finally, based on the probability delay upper bound of 5G domain, cross-domain link transmission delay and the deterministic delay upper bound of TSN domain, the end-to-end delay theoretical upper bound of service flow is obtained.The application provides analyzable, verifiable theoretical basis for end-to-end deterministic transmission in industrial internet.

This invention provides a delay early warning method and storage medium for the entire process of transit flights. The method includes: obtaining the estimated time of preset stages and the estimated time of preset key nodes in the arrival process of the target flight based on actual airport operation data; balancing the actual airport operation data and identifying delayed flights based on the estimated time of the preset stages and the estimated time of the preset key nodes; and issuing an early warning for delayed flights based on the identification results. This approach, in addition to identifying and issuing early warnings for delayed flights, provides more reference options and more execution time for taking remedial measures.

The application relates to a blockchain technology protection vehicle networking communication framework and time delay optimization method, which comprises the following steps: S1, constructing a system based on a blockchain environment between edge devices; S2, calculating the time delay T of vehicle data extraction according to a Poisson point arrival process i ; S3, constructing a channel state model; S4, calculating the system time delay; S5, optimizing the system overall time delay E[T], and obtaining the most suitable lambda * by convex optimization, and adjusting the extraction data rate of the vehicle so that the system overall time delay E[T] is minimized; the application introduces a blockchain Raft consensus mechanism to ensure the integrity and safety of data transmission, dynamically adjusts the vehicle data extraction rate through a convex optimization algorithm, effectively reduces the system time delay, and meets the requirements of low delay and high reliability of vehicle networking; the application also provides a new idea for the application of the blockchain technology in the intelligent transportation field, and has important theoretical and practical values.

The invention discloses a resource transaction method for vehicle-mounted twinning migration in a vehicle-mounted element universe, and the method comprises the steps: constructing a queuing time delay prediction model based on a yoke theory for the real-time migration process of vehicle-mounted twinning between a source unmanned aerial vehicle and a target unmanned aerial vehicle, deducing the time delay violation probability of the migration process through the analysis of an arrival process and a service process, and carrying out the calculation of the time delay violation probability. And establishing a quantitative relationship between the migration reliability and the allocated bandwidth. Furthermore, the bandwidth transaction behavior between the meta universe service provider and the vehicle-mounted user is considered, a Stackelberg game model is constructed, the service provider is used as a leader to formulate the optimal bandwidth pricing, and the vehicle-mounted user is used as a follower to select the bandwidth purchase amount to minimize the quality index. Finally, game equilibrium is solved through iteration of a reverse induction method, an optimal pricing and resource allocation strategy is obtained, and the real-time performance of twinborn migration and the overall benefit of the system are effectively improved. The method can be widely applied to edge computing resource scheduling and communication optimization scenes in a high-dynamic vehicle-mounted element universe environment.