101 results about "Network overhead" patented technology

The invention relates to the technical field of cloud computing resource management, and discloses a storage and computing resource dynamic recombination management method, system, device and medium, which comprises the following steps: constructing a hierarchical management architecture comprising a local control center and a global network control center, constructing a uniform resource topology view of the whole network through a heartbeat mechanism and metadata reporting, automatic registration and state monitoring of calculation and storage resources are realized; multi-target task scheduling is carried out by adopting an improved genetic algorithm fused with a greedy strategy, and on the premise of meeting service quality constraints, localization processing of calculation tasks is preferentially realized to reduce network overhead; an elastic telescoping mechanism based on an ARIMA-LSTM mixed time sequence prediction model is introduced, and through deep learning of historical load data, a load peak value is pre-judged in advance and the scale of a resource pool is dynamically adjusted. According to the method, the global utilization rate of heterogeneous resources is effectively improved, and lossless rapid expansion and dynamic recombination of storage and calculation resources are realized.

The invention discloses an anti-cavity underwater acoustic sensor network non-uniform clustering routing protocol based on particle swarm optimization, and relates to underwater communication. Through integrating hole node evaluation into a fitness function of a particle swarm optimization algorithm, collaborative optimization of cluster head selection and hole avoidance is realized according to node residual energy, node depth and node degree information, so that connectivity and stability of a network are improved. Meanwhile, an inter-cluster cooperative data transmission mechanism is provided, and through a cluster head-gateway load balancing strategy, premature failure caused by frequent relay tasks of individual cluster heads is reduced, so that the network load balance is improved, and the life cycle is prolonged. Besides, on the basis of a classic Dijkstra algorithm, an edge weighting function is constructed in combination with hop count, node residual energy and inter-node distance, and a cluster head traversal termination principle is introduced to optimize path search efficiency and reduce network overhead, so that reliability, energy efficiency and overall communication performance of the underwater acoustic sensor network are remarkably improved.

The invention discloses a dynamic self-adaptive edge-cloud cooperative computing segmentation point and compression strategy adjustment method. The core of the method is to deploy a dynamic decision engine on edge equipment. The engine senses a network state (such as bandwidth and delay) and a task priority specified by an application in real time, and according to a preset decision logic (such as a look-up table or a lightweight prediction model), a deep learning model which supports multiple segmentation points and is equipped with a variable bit rate hierarchical quantization feature compression model for each segmentation point is used for performing a multi-segmentation-point hierarchical quantization feature compression model on the basis of the multi-segmentation-point hierarchical quantization feature compression model, so that the multi-segmentation-point hierarchical quantization feature compression model is obtained. And dynamically selecting an optimal model segmentation point and feature compression level combination. The combination is transmitted to the cloud, and the cloud loads the corresponding back-end model to complete calculation. Through the dynamic adjustment mechanism, the real-time optimal balance among the reasoning delay, the task precision and the network overhead is realized, and the performance stability, the resource utilization rate and the adaptability of the system in a variable environment are remarkably improved.

The invention discloses a data encoding and decoding method and device for power regulation and control application service information interaction, and belongs to the technical field of power system regulation and control, and the method comprises the steps: obtaining structured data from a power regulation and control system through a client, the structured data comprising power system operation parameters; calling a coding interface through a client, coding the structured data into a binary data stream according to a predefined message description language specification, and transmitting the binary data stream to a server through a power communication network through the client; receiving the binary data stream through a server, and calling a decoding interface to decode the binary data stream into structured data; the decoded structured data is transmitted to a power regulation and control application service module for use through the server side; according to the method, the network overhead in the interaction process of the power regulation and control system is greatly optimized, and the overall performance and safety of the system are improved.

A method, system, device, and medium for delay-tolerant network caching based on the minimax ant colony algorithm are disclosed. The method includes: first, classifying information; when a new message arrives, if the cache is not full, the new message is allowed into the cache; otherwise, the total pheromone concentration of the new message determines whether to allow it into the cache. Regardless of whether the new message is allowed into the cache, the pheromone concentration of similar messages in the cache is updated, and the updated pheromone concentration of similar messages is compared with a given pheromone concentration range. If the pheromone concentration does not exceed the range, caching ends; if it exceeds the range, the upper or lower limit of the given pheromone concentration range is used. The system, device, and medium are used to implement a delay-tolerant network caching method based on the minimax ant colony algorithm. This invention introduces the concept of pheromone concentration to determine whether the total pheromone concentration of a new message entering the cache is minimum, thus deciding whether to discard the new message. This has the characteristics of improving the message arrival rate in delay-tolerant networks and reducing network overhead.

The utility model belongs to the technical field of pipeline installation, and particularly relates to a heat supply network overhead pipeline support which comprises a supporting assembly capable of enabling the support to stably erect a pipeline at the required height, and a fixing assembly capable of enabling the support to be in contact with or separated from the pipeline conveniently is arranged on the supporting assembly. A buffering assembly capable of providing certain buffering for the impacted pipeline is arranged in the fixing assembly. Through the arrangement of the pressing frame and the two brackets, after the pressing frame and the brackets are connected through external bolts, the pressing frame and the brackets can jointly and stably support and limit a pipeline, and when the pipeline needs to be maintained and the like, only the pressing frame and the brackets need to be separated, so that the pressing frame and the brackets are separated from each other. The positions of the two brackets on the buckling seat can be quickly changed through the adjusting piece, so that the pipeline is not shielded any more, and maintenance and other work can be smoothly carried out.

This invention relates to a method and system for multi-source information knowledge fusion and intelligent retrieval. The method includes: acquiring multi-source heterogeneous data and performing unified knowledge modeling on the multi-source heterogeneous data to obtain a unified knowledge framework. Based on the unified knowledge framework, a large language model is invoked to perform structured preprocessing on the multi-source heterogeneous data to generate structured knowledge triples. The structured knowledge triples are then structured using attribute graphs, and the associated data of each entity is vectorized and stored using an embedding model to obtain a fused knowledge body. User query requests are received and responded to by performing deep analysis on the user input data to obtain the user's query intent and query elements. A condition graph is constructed based on the user's query intent and query elements, and the condition graph is mapped to a knowledge network for entity localization and condition graph matching to generate structured retrieval results. This reduces network overhead and scheduling latency, and improves retrieval response speed and accuracy.

A cross-chain architecture design and performance analysis method for large-scale Internet of Things based on IOTA blockchain, a multi-field, large-scale distributed Internet of Things, trusted, multi-chain, intelligent and efficient blockchain architecture is designed based on IOTA, which realizes low-cost trusted interconnection of blockchains in different fields and establishes a safe shared ecological model. The delay of one-hop transmission is derived using stochastic calculus theory. From the aspects of consensus time, throughput, security and cross-chain interaction efficiency, the performance of the new architecture is analyzed, providing a theoretical basis for the landing of blockchain. At the same time, in order to speed up information dissemination and reduce network overhead, a directional propagation method is proposed to replace the rumor algorithm of IOTA, reducing network overhead.

The application provides a resource scheduling method and system, a computing device and a storage medium, wherein the method comprises the following steps: a first server determines a first network channel connected with a second server based on service allocation information and resource allocation information, wherein the first network channel comprises a reserved network channel; the first server controls the second server and a third server to receive and process the first service and the second service according to the service allocation information and the resource allocation information; in the case that the third server completes the second service and the second server does not complete the first service, the first server allocates the remaining computing resources of the third server to the second server through the reserved network channel; the dynamic allocation of the computing resources is realized, the network overhead and the processing time of the target service are saved, and the system maintenance difficulty is reduced without changing the network topology structure.

The invention provides a data processing method and device. The method is realized by an attack monitoring module, an encryption module and an attack detection module of a security agent. For example, the attack monitoring module can trigger the encryption module to request the first target to encrypt the shared data in the network when monitoring that the first target is attacked by the network, so that the first target obtains security protection, and data leakage is avoided; when the data of the first target is still attacked continuously after being encrypted, the attack detection module is triggered, so that the attack detection module can determine that the attack type is the first network attack of the specified type and determine a corresponding solution, and accurate detection and disposal of the specified attack type are realized. Moreover, except for the attack monitoring module, the encryption module and the attack detection module, the attack monitoring module, the encryption module and the attack detection module are activated and run based on certain conditions instead of running continuously, so that the network overhead is reduced.

The application relates to a method and system for implementing a path pattern expression in a distributed graph database, wherein the method comprises: executing a summary application operator, wherein the summary application operator comprises a path pattern subplan and a path pattern expression subplan; that is, by using the path pattern subplan, first path data tables and second path data tables satisfying a path pattern are respectively acquired from the distributed graph database in a breadth-first traversal manner; and then by using the path pattern expression subplan, the first path data tables and the second path data tables are combined to obtain new data tables. By the application, the problem that network overhead is large in the implementation of a path pattern expression in a distributed graph database is solved, and data of a path pattern expression is acquired in a breadth-first manner, so that the data query performance is greatly improved in a graph database of a distributed architecture.

The application discloses an information security data storage system and relates to the technical field of data storage.The application solves the technical problem of avoiding the problem of resource waste or performance bottleneck caused by one-size-fits-all storage by intelligently selecting local storage or distributed storage mode according to the type, capacity size and delay requirement of data.The application dynamically selects local or distributed storage based on data capacity and delay requirement, stores small-capacity and low-delay data locally to reduce network overhead, stores large-capacity and high-delay data in a distributed manner to improve scalability, improves resource utilization, automatically deletes temporary data, combines high-frequency / low-frequency data differentiation processing, takes into account data security and space optimization, dynamically adapts different capacity data through a dynamic sharding strategy, ensures balanced distribution of data through consistent hashing and virtual nodes, and realizes dynamic load adjustment through cold / hot data layering and node performance grading, thereby improving access speed and system stability.

The invention relates to the field of business process management, and provides a process engine asynchronous task processing method, system and device and a medium, and the method comprises the steps: a process engine packages a current to-be-processed external task into a task message, and issues the task message to a message queue; the message queue pushes the task message to the distributed workers; and under the condition that the distributed worker successfully executes the task corresponding to the task message, sending an external task completion request to the process engine, and triggering the process engine to continuously execute the step of packaging the current external task to be processed into the task message by the process engine until the task is finished. According to the method, the decoupling characteristic of the message queue is utilized to reduce the coupling degree of the process engine and the external service, the message queue actively pushes the task message to the distributed worker to reduce the network overhead, and in addition, the distributed worker sends the completion request to the process engine to push the process to continue after the task is successfully executed. And flow blocking caused by service timeout is avoided.

Embodiments of this application relate to a task allocation method, apparatus, device, and computer program product. The method includes acquiring the distribution of multiple data shards across a node cluster, the multiple data shards being processed by a first task of an application job. The node cluster includes multiple node groups, each of the multiple node groups including a group of nodes interconnected by a bus. The method also includes allocating the first task to multiple execution units executing the application job based on the distribution of the multiple data shards across the node cluster and the multiple node groups, wherein the multiple execution units run on the node cluster. Thus, by considering the characteristics of the bus interconnection within the node groups in conjunction with the location of the data to be processed when allocating tasks, it becomes possible to select execution units with the aim of minimizing cross-node data reads, thereby reducing network overhead and improving execution efficiency.

The invention discloses a multi-path insertion query optimization method based on Spark SQL, which belongs to the field of big data processing and distributed computing, and comprises the following steps: carrying out SQL rule matching; identifying whether the multi-path insertion structure is a Union multi-path insertion structure or not; extracting multiple paths of insertion public sub-plans; stripping the special logic of each branch inserted by multiple paths; constructing a multi-insertion command, and combining multi-path insertion calculation and write-in logic; replacing an original execution plan structure; according to the method, the shared CTE basic data only needs to be calculated once, so that a large amount of CPU (Central Processing Unit) computing resources are saved; multiple reading operations on the materialized CTE result are eliminated, and the disk I / O or network I / O overhead is greatly reduced; through merging computational logic, the total time of task scheduling and execution is reduced, the overall performance of the ETL operation is remarkably improved, and the effect is more obvious especially in a large data volume scene; the method is implemented on the level of a Spark SQL optimizer and is completely transparent to a user, and the user can automatically improve the performance without modifying the SQL writing method.

The invention discloses a high-precision synchronization method and system for a distributed power system, the method comprises a host and a plurality of sub-machines which are interconnected with the host in a point-to-point manner and are to be synchronized, the host and the sub-machines both adopt a CPU + FPGA architecture, and a high-precision synchronization mechanism is realized in the FPGA. According to the synchronization mechanism, synchronization compensation time and synchronization errors are calculated through a plurality of message sending periods, the step length of an interval is adjusted in a self-adaptive mode by comparing the synchronization errors with a reasonable range, and high-precision synchronization of the master machine and the slave machine is carried out. Under the condition that the processor is non-inductive, extremely high synchronization precision is achieved through extremely low network overhead occupation, the complexity and cost of distributed system synchronization design construction are reduced, and the method has high engineering application value.

The embodiment of the invention provides an information transmission method, a terminal, network equipment and a storage medium, and the method comprises the steps: determining a first opportunity set according to a first SSB received by the terminal; determining a reference point related to the first SSB; determining at least one second opportunity from the first opportunity set according to the reference point; and performing information transmission at the at least one second opportunity. According to the embodiment of the invention, the power consumption of the terminal can be reduced, the cruising ability of the terminal is improved, the network overhead can be reduced, and the random access success probability of the terminal is improved.

The application relates to a central node routing discovery method based on a wireless Mesh network and related equipment, and relates to the technical field of wireless networks. The method comprises the following steps: acquiring a routing discovery broadcast forwarded by a previous-hop routing node to a current-hop routing node; determining the validity of the best path of the previous hop by comparing each routing node passed through by the best path of the previous hop with the current-hop routing node; in the case that the best path of the previous hop is valid, determining the best path of the current hop according to the current-hop routing node and the best path of the previous hop, and updating the routing discovery broadcast according to the best path of the current hop; forwarding the updated routing discovery broadcast to a next-hop routing node, and taking the next-hop routing node as the current-hop routing node to continue the routing discovery until the best paths of all the routing nodes to the central node are determined. The method can reduce the network overhead of routing discovery.

The application provides a kind of vehicle networking geographic position routing method (HIGR) based on improved firefly swarm algorithm, one aspect, the method utilizes dynamic clustering algorithm to form cluster member node-cluster head node-RSU three-layer control model, with cluster member information table instead of neighbor node table, reduce the control overhead of node broadcast;Another aspect, in the cluster head node selection stage, RSU establishes evaluation function according to the relative speed of node, boundary stability factor and node destination factor, selects the node with the maximum evaluation function value as cluster head node to reduce cluster maintenance overhead;While node runs improved firefly swarm algorithm in routing stage, reduce network delay.HIGR of the application has good performance on packet delivery rate, end-to-end delay, throughput and network overhead, can balance beacon message update frequency, control overhead, improve the performance of network.

The application belongs to the field of Internet of Things collaborative computing, and discloses an analysis method and system for accurate cooperation between Internet of Things terminals, which is suitable for Internet of Things scenes such as intelligent agriculture. The method builds an Internet of Things cluster containing high-power and low-power machines, and runs a bidirectional PIM multicast protocol between routers. The system realizes device state synchronization and assisted path pre-construction through an improved IGMP / PIM protocol. When a low-power machine initiates a task request, it can be accurately scheduled to a high-power machine according to the pre-built path. A state-triggered update mechanism is adopted, which only triggers global state revocation when all subordinate devices are busy, greatly reducing network overhead. The system realizes efficient power cooperation between devices, significantly improving task response speed and resource utilization.

This application provides a packet sending method, a network device, and a computer-readable storage medium. The method includes: receiving, by a target service node, a first packet sent by a client, where a destination address of the first packet is an IP address of a server; sending, by the target service node, a second packet to the client, where the second packet includes an IP address of the target service node; and receiving, by the target service node, a third packet sent by the client, where a destination address of the third packet is the IP address of the target service node. In the foregoing technical solution, the target service node records the IP address of the node in the second packet. After receiving the second packet, the client changes a destination address from the IP address of the server to the IP address of the target service node to send the third packet, and the server directly forwards the third packet to the target service node with no need to record a correspondence between the client and the target service node, thereby reducing network overheads.

The invention discloses a data writing method and device, electronic equipment and a computer storage medium. The method comprises the following steps: in response to a data writing instruction, obtaining a main fragment number corresponding to a to-be-written document; determining an address of a data storage node corresponding to the to-be-written document according to the main fragment number; and according to the address of the data storage node, sending the data writing request of the document to be written to the Elasticsearch cluster. Through the above scheme, the client can directly send the data writing request to the data storage node actually storing the to-be-written document, and does not need to carry out forwarding processing through a coordination node in an Elasticsearch cluster, so that the traffic forwarding times and the network overhead can be effectively reduced.

The application provides an information transmission method and device, equipment and a non-transient readable storage medium. The information transmission method comprises the following steps: first information is directly sent to a network function device by calling a service of the network function device, the first information being application level information between a radio access network device and the network function device; and / or second information sent by the network function device by calling a service of the radio access network device is received, the second information being application level information between the network function device and the radio access network device. The present scheme can support direct information interaction between the radio access network device and the network function device through a service interface, avoid forwarding through an intermediate node, shorten a transmission path, reduce signaling routing delay and network overhead, and well solve the problems of large signaling routing delay and large network overhead in the prior art.

Provided in the embodiments of the present application are a method for determining a transport network layer address of a base station, and an apparatus, which are applied to base stations. The method comprises: acquiring transport network layer addresses associated with a target ground area; and when the base station operates in the target ground area, determining a target transport network layer address associated with the target ground area as the transport network layer address of the base station. The present invention solves the problem of large network overheads caused by excessive signaling interaction in non-terrestrial networks.

The invention provides a data management system based on a second-level cache, which comprises a client and a server, and is characterized in that the client is provided with a first-level cache, and the server is provided with a second-level cache and a database; the client is configured to obtain original data corresponding to a hotspot Key after the hotspot Key is obtained, split the hotspot Key into a plurality of sub-Keys by adopting a preset splitting rule, split the original data into data subsets corresponding to the sub-Keys, and store the data subsets; in response to a received data query instruction of a user, obtaining a target Key corresponding to the data query instruction, and judging whether the target Key is a hotspot Key stored in the first-level cache or not; and if yes, obtaining target data from the first-level cache according to the target Key and returning the target data to the user. The technical scheme of the invention is used for reducing the network overhead of data query and improving the response speed of data query.

The invention provides an edge cloud collaborative intelligent detection system and method based on scene self-adaption, and the system comprises a scene perception module which is used for collecting multi-dimensional scene parameters in real time and generating a scene complexity evaluation result; the decision scheduling module is used for dynamically selecting an execution mode of a calculation task based on the scene complexity evaluation result, and the execution mode comprises an edge priority mode, a cooperative processing mode and a cloud dominant mode; the edge cloud collaboration module is used for distributing a calculation task to edge equipment or cloud equipment according to the execution mode; and the adaptive optimization module is used for dynamically adjusting parameters of the scene complexity evaluation model and a threshold value of the decision scheduling module according to historical scene data and a detection result. The method has the advantages of improving detection efficiency, optimizing resource utilization, reducing network overhead, enhancing system adaptability and the like.

The application provides a method, device and terminal for accessing a network. The method for accessing a network comprises: when a terminal finds that multiple independent standalone non-public networks (SNPNs) are available for selection, obtaining an SNPN list, wherein the SNPN list comprises access identifiers of at least two SNPN networks; selecting a target network from the at least two SNPN networks according to the access identifiers of the SNPN networks, and accessing the target SNPN network. The scheme of the application can improve the network selection efficiency of the terminal for the SNPNs providing short message services, reduce a large amount of invalid signaling interaction, and reduce network overhead.

The invention discloses an MCP tool calling method and device of remote edge equipment, equipment and a medium. The method comprises the steps that a tool calling request for a target MCP tool is generated through a preset MCP interface; wherein the tool calling request comprises tool identification information, execution input information, first increment context information and remote execution configuration information of the target MCP tool; converting the tool calling request into an RPC format to obtain a remote tool calling request; determining an optimal transmission channel based on the network state information and the remote tool call request; the remote tool calling request is sent to the remote edge device through the optimal transmission channel; and receiving a tool execution result and second incremental context information returned by the remote edge device. According to the technical scheme, the problems that an existing universal remote communication mechanism is poor in adaptability and redundant in context transmission are solved, efficient application of the MCP protocol to the remote edge device is achieved, the stability of calling execution is improved, and delay and network overhead are reduced.

The invention relates to the technical field of network performance and distributed application, in particular to an application cross-node calling performance analysis method and system based on a TCP (Transmission Control Protocol) serial number. In order to solve the problems of high invasiveness, strong protocol dependency, extra network overhead and huge cost of a performance analysis technology based on code burying points, the technical scheme is characterized by comprising the following steps: deploying a cBPF probe and an eBPF probe at a client and a server, and obtaining an initial write sequence number, an initial read sequence number, a network layer log and a system layer log called by an application; based on uniqueness and consistency of TCP serial numbers at a client and a server, network layer logs and system layer logs recorded by client nodes and server nodes are associated to obtain associated cross-node calling logs, and transmission time delay and processing time delay are calculated; and the effects of non-invasive data acquisition and no increase of network transmission load are achieved.

A communication method and apparatus, the method comprising: a network device sending first indication information through common control information, the first indication information being used for indicating a first resource set; and the terminal equipment sends or receives the first control information in the first resource set. According to the method, aiming at the control information, the network equipment can configure the resource for receiving the control information, so that the network resource can be flexibly adjusted according to the network load, and the aim of reducing the network overhead or reducing the power consumption of the network equipment or the terminal equipment is fulfilled.