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37results about How to "Solve the deadlock problem" patented technology

Network equipment configuration method, client, server and network system

ActiveCN102148817AMeet the requirements of concurrent configurationImprove operation concurrencyData switching networksData setNetworked system
The invention discloses a network equipment configuration method, a client, a server and a network system, which belong to the field of network communication. The method comprises the following steps of: receiving a configuration submission request from the client, and caching configuration information in the configuration submission request; submitting the configuration information into a candidate dataset, and running and validating the configuration information to a running configuration database by using the candidate dataset; in a configuration conflict, updating a fundament dataset based on the current running configuration dataset; and acquiring the cached configuration information, re-executing the cached configuration information on the new fundamental dataset, running and validating the re-executed configuration information to the running configuration data set; and returning an execution result to the client. By the method, the client, the server and the network system, the requirements of concurrent configuration of a plurality of users are met, the operation concurrency of the plurality of users is improved, and the problems of low user concurrency and deadlock produced in overall locking or partial locking processing in the prior art are solved.
Owner:HUAWEI TECH CO LTD

Multi-behavior fused enzyme numerical membrane control method for mobile robot in unknown environment

The invention discloses a multi-behavior fused enzyme numerical membrane control method for a mobile robot in unknown environment. The method comprises the following steps such as: calculating a linear distance and an angle of the target and the robot, determining an environment in which the robot is located, determining whether the linear distance between the robot and the target is a historicalminimum, determining whether the target and an obstacle or a wall surface are on the same side of the robot, performing multi-behavior selection, performing the selection behavior, and determining whether the mobile robot reaches the target. By combining an enzyme numerical membrane system and a multi-behavior fusion algorithm, and introducing the determination of the distance between the robot and the target and the determination that whether the target and the obstacle or the wall surface are on the same side of the robot, the multi-behavior fused enzyme numerical membrane control method fora mobile robot in unknown environment solves the deadlock problem and detour problem of autonomous walking in the unknown environment of the mobile robot to a certain extent. An enzyme numerical membrane controller is used to fuse a multi-behavior controller to enable the robot to adapt to complex environments.
Owner:SOUTHWEST JIAOTONG UNIV

Dense storage container scheduling method and device and electronic equipment

The invention provides a dense storage container scheduling method and device and electronic equipment, and the method comprises the steps: determining a to-be-scheduled container and a destination ofthe to-be-scheduled container based on an obtained to-be-executed task; determining a first path according to the current position and the destination of the to-be-dispatched container, wherein the first path comprises the position where the robot needs to pass when the robot transports the to-be-dispatched container from the current position to the edge position of the current block in the current block to which the current position belongs; and controlling the robot to convey the to-be-dispatched container to the edge position from the current position through the first path, and then conveying the to-be-dispatched container to the destination from the edge position. By means of the mode, the operation collaboration of all the robots in intensive warehousing operation can be effectivelyimproved; conflict and disorder of multiple robots during task execution are avoided, the problem of blockage or deadlock among the robots is solved, and the problem that the robots are blocked by other containers during task execution is solved, so that the operation efficiency of intensive storage is improved.
Owner:BEIJING KUANGSHI ROBOTICS TECH CO LTD

An Intelligent Routing Decision-Making Method Based on DDPG Reinforcement Learning Algorithm

ActiveCN110611619BImprove equalization performanceSolve the congestion problem caused by unbalanced traffic distributionData switching networksNeural learning methodsRouting modelPathPing
The present invention proposes an intelligent routing decision-making method based on reinforcement learning, and specifically relates to an intelligent routing decision-making method based on DDPG reinforcement learning algorithm, which aims to design intelligent routing decisions by using reinforcement learning to balance the equivalent path traffic load, To improve the ability of the network to handle burst traffic, the present invention adopts an experience decision-making mechanism based on sampling probability, and the experience with poorer performance has a greater probability of being selected, thereby improving the training efficiency of the algorithm. In addition, adding noise to the neural network parameters is beneficial to the exploration of the system and improves the performance of the algorithm. The implementation steps are: 1) constructing the network topology; 2) constructing the network topology G 0 3) Construct a routing decision model based on the DDPG reinforcement learning algorithm; 4) Initialize the traffic demand matrix DM and the equivalent path traffic ratio matrix PM; 5) Iterate the routing decision model based on reinforcement learning train. The present invention can be used in scenarios such as a data center network.
Owner:XIDIAN UNIV +1

Balanced domain division method for software defined network

The invention discloses a software defined network oriented balanced domain division method, and aims to provide a balanced domain division method which is fast in convergence, high in efficiency and capable of reducing network control time delay and improving network performance. The method is realized through the following technical scheme: after a network topology, a node position, a pre-estimated traffic matrix and a maximum scale allowed by a single domain are given, executing an initial domain division stage based on a K-means algorithm framework, and traversing initialized distributed domain center nodes by using a width-first graph; repeatedly carrying out distance-first domain growth and domain center node updating; executing a quotient graph-based local tuning stage on the basis of an initial domain division result, converting local tuning performed by movement of domain boundary nodes in adjacent domains in the domain division result into a quotient graph, and repeatedly searching a negative weight ring or calculating a minimum cost path on the quotient graph obtained by conversion of the domain division result; and the target function is optimized and the absolute balance of the domain scale is ensured until no negative weight ring exists in the quotient graph and the domain division result reaches the absolute balance.
Owner:10TH RES INST OF CETC
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