1591 results about "Protocol stack" patented technology

The invention provides a network security defense method and system based on intrusion modeling trapping, and the method comprises the steps: constructing a dynamic virtual asset atlas based on a real network topology, generating a virtual node and an interaction link through protocol fingerprint confusion, implanting an interface deformation rule in combination with a session context, and constructing a protocol stack controllable dynamic trapping interface. Extracting topology correlation degree parameters, triggering node recombination and attack path shunting rules, using a protocol stack mirror image tunnel confusion instruction flow path, constructing a dynamic attack path confusion network, and directionally transmitting an intrusion instruction to a trapping interface protocol stack. And when the parameters reach a threshold value, a node recombination strategy and an interface deformation rule are updated, a dynamic attack and defense game mechanism is formed, the attack behavior induction and feature capture capability is enhanced, and active interference and accurate traceability of network intrusion behaviors are realized. According to the technical scheme provided by the embodiment of the invention, active shunting of the attack path and accurate induction of the trapping interface can be realized, and the attack detection rate is improved.

The invention relates to the technical field of Internet of Things management, in particular to a lightweight Internet of Things management system based on a star flash protocol stack, which comprises a plurality of modules such as a star flash protocol communication module, a dynamic topology management module and a resource virtualization module. The satellite flash protocol communication module realizes low-power-consumption efficient connection of equipment; the dynamic topology management module optimizes the network topology by using an improved multi-agent Q learning algorithm; the resource virtualization module realizes accurate resource allocation through a weighted bipartite graph matching model; the safety protection module adopts an attention mechanism to detect abnormities and guarantee data safety; the edge co-processing module realizes intelligent task unloading by means of deep reinforcement learning; all the modules cooperatively work under the overall planning of the cross-module coordination controller, and the information barrier is broken. According to the invention, the problems of high communication energy consumption, poor resource allocation, weak security protection, low task processing efficiency, insufficient module collaboration and the like of a traditional Internet of Things system are effectively solved, the system communication efficiency, the resource utilization rate and the security are remarkably improved, and the task processing capability is enhanced.

The invention relates to a network real-time synchronization communication system, and relates to the technical field of computer network communication. The system comprises four core modules: a hardware optical IO synchronization module which integrates a multi-wavelength optical transceiver array and an anti-jitter circuit and provides a nanosecond global clock signal, and the synchronization precision is less than or equal to 15ns; the time sequence arrangement module is used for dividing a fixed time window and a dynamic buffer window based on a time sensitive network, supporting a priority preemption mechanism of the SRIO bus and realizing deterministic data transmission; the distributed RTDATA nodes replace a traditional single-board computer, a heterogeneous computing unit and an intelligent storage controller are integrated, and protocol stack processing delay is reduced through the zero copy technology; according to the dynamic multicast routing system, a safely isolated multicast tree is constructed as required, and link load distribution is optimized in combination with machine learning. Through collaborative design of hardware optical synchronization and dynamic data arrangement, the problem of real-time performance reduction caused by multi-node communication concurrence is solved.

The invention discloses an adaptive protocol stack reconstruction and transaction-level data control method for 5G communication, and aims to solve the technical problems of fixed protocol stack structure, coarse transmission control granularity and the like of an existing communication module. The method comprises the following steps: firstly, analyzing an application layer communication session initialization instruction, generating a communication task label, acquiring 5G network environment state data in real time, and constructing a network state feature vector; then, the communication task label and the network state feature vector are input into a protocol mapping decision map, a protocol reconstruction instruction is generated, loading and unloading of a protocol module in a protocol stack resource pool are controlled, a dynamically-adaptive protocol path is constructed, and a transaction identifier is allocated to the protocol path; and establishing a transaction-level data buffer area based on the transaction identifier, performing priority marking on the data packet, and executing differentiated dynamic flow control operation according to the network state feature vector and the priority label, thereby realizing high-reliability and low-delay 5G communication data management.

The invention discloses an integrated scheduling system for realizing a PCS, an EMS and a BMS, and relates to the technical field of power control, and the system comprises a multi-dimensional performance evaluation module which constructs a battery aging dynamic model, carries out the training, carries out the health state pre-judgment through the battery aging dynamic model based on a standardized state vector, and generates a multi-dimensional performance evaluation index; the multi-objective optimization module is used for generating a collaborative scheduling strategy set by combining a fuzzy analytic hierarchy process with a multi-objective optimization solver of an improved genetic algorithm based on the multi-dimensional performance evaluation indexes; the dynamic derating module is used for generating an executable instruction queue with security constraints by combining an industrial internet of things protocol stack with a dynamic derating coefficient algorithm based on the collaborative scheduling strategy set; according to the invention, through the physical driving characteristic layer and the dynamic parameter calibration layer, the nonlinear coupling modeling of the cyclic attenuation and calendar aging mechanism in the battery aging dynamic model is realized.

The invention relates to a multi-protocol intelligent terminal interaction method and system based on AI dynamic allocation, and the method comprises the steps: obtaining communication demand data, and generating sorting data; protocol stack self-adaptive scheduling and path switching are carried out in FPGA hardware; optimizing multi-protocol parallel transmission to obtain a low-delay data stream; constructing a load prediction model based on reinforcement learning and dynamically allocating resources; terminal interaction is carried out through cooperative adjustment of computing power and radio frequency power, so that the purposes of low-delay and high-energy-efficiency communication and complex environment adaptation of the intelligent terminal in a multi-protocol scene are achieved.

The invention relates to the technical field of network communication, provides a dual-stack network adaptive scheduling method and system based on a DNS analysis strategy, and is used for establishing an effective protocol stack feature association mechanism so as to realize cross-protocol-layer intelligent scheduling. The method comprises the steps that a DNS analysis request sent by a client side is received, and the DNS analysis request carries a target domain name and a request protocol type; analyzing the request protocol type to determine a network protocol stack type supported by the client; generating an adaptive scheduling strategy corresponding to the target domain name according to the network protocol stack type and a preset address type priority list; selecting a target IP address type from a pre-configured IP address pool based on the self-adaptive scheduling strategy; and returning an analysis result corresponding to the target IP address type to the client so as to guide the client to establish network connection through the target IP address type.

The invention provides a cross-protocol identification data intelligent analysis middleware method and system. The method comprises the following steps: taking multiple industrial communication protocol identifiers in advance to form a metadata set, and constructing a protocol feature element model library containing a non-standard protocol feature template; a programmable logic device is introduced, physical layer signal waveform characteristics are matched, and corresponding communication protocol stacks are dynamically switched at a hardware level according to a matching result; receiving a communication data stream through an electric domain processing unit of the programmable logic device, and generating a protocol analysis logic sequence in combination with a state transition rule of the meta-model library and a mode matching rule of the protocol stack; performing combined operation on the structured feature template and the analysis logic sequence to generate an executable cross-protocol data analysis rule; and when unknown protocol characteristics are detected, triggering dynamic reconstruction of the template, so that the analysis rule is adapted to a newly added protocol. According to the technical scheme provided by the invention, the protocol compatibility development cost in an industrial multi-protocol scene is remarkably reduced.

A wireless device transmits a first signal, based on a first protocol stack, to establish a first connection with a first cell. The wireless device transmits a second signal, based on a second protocol stack, to establish a second connection with a second cell. The wireless device deactivates the first protocol stack based on receiving a response to the second signal.

The invention relates to the technical field of network information security, in particular to a novel network information security method and system, and the method comprises the following steps: injecting a dynamic variation engine into the bottom layer of a network protocol stack, and generating a variation protocol fingerprint; generating an equipment identity label with space-time dynamic property; selecting a protocol encapsulation channel based on chaotic encryption or a disguised transmission channel based on bait data injection, wherein the protocol encapsulation channel encrypts or obfuscates an original protocol; a self-adaptive bait generator is embedded in the camouflage transmission channel; extracting attack fingerprints; and inputting the attack fingerprint into the antagonistic defense strategy generator, and synchronously updating the distortion parameter of the dynamic variation engine. According to the invention, the distortion parameter of the dynamic variation engine and the adaptive adjustment mechanism based on the attack fingerprint ensure that the defense strategy always dynamically confronts the attack behavior, and the robustness of the protocol layer protection is improved.

The invention provides a multi-level service priority dynamic scheduling simulation method and device, a medium and a product. The method comprises the following steps: constructing a priority label system; establishing a dynamic binding relationship between the service flow and the priority label; when a service layer generates a data packet, embedding a priority label for the data packet based on the dynamic binding relationship; extracting a priority label carried by the data packet on a protocol stack MAC layer, and ensuring that the priority label is unvarnished to a lower layer protocol in a lossless manner; and based on the priority labels carried by the extracted data packets, classifying the data packets into logic queues with corresponding priorities, and executing a differentiated scheduling strategy. The method can adapt to diversified requirements of data services of different types and priorities for network resources, effectively improves the simulation model accuracy, improves the simulation experiment efficiency and simulation real-time performance and reliability in a multi-service priority 5G communication network simulation scene, more accurately reflects the performance of a real network, and improves the simulation experience of the 5G communication network. And meanwhile, the simulation platform has higher expansibility and flexibility.

The invention relates to the technical field of carrying equipment. The multi-platform compatibility optimization method and system for the carrying equipment controller are provided, and the method comprises the following steps: carrying out dynamic monitoring and topology analysis processing on a network node connection relationship of a carrying equipment cluster, and generating a dynamic network topological graph and a link state data set; performing training processing on the mapping relation between the network state and the protocol parameter, and generating a protocol parameter dynamic adjustment strategy and a protocol decision table; performing real-time switching processing on the cross-platform communication protocol stack to generate a control instruction data stream compatible with multiple platforms; performing dynamic updating processing on a reward function of the reinforcement learning model, triggering protocol parameter optimization to be executed again, and generating an iterative optimization protocol parameter dynamic adjustment strategy; the problems that topology awareness and dynamic response depended on by static routing are missing, protocol switching and compression ratio self-adaptive adjustment of network parameter solidification are invalid, and cross-platform instruction conflicts and transmission efficiency degradation of heterogeneous protocol adaptation are caused are solved.

According to the grid-connected line electric energy quality on-line detection device, the system comprises a broadband sensing module which is deployed on a grid-connected line to form an original analog signal; the conditioning module forms a standardized digital sampling signal; the edge calculation module receives the standardized digital sampling signal, analyzes a voltage effective value, a harmonic distortion rate, a sag depth and an event duration index in real time through a parallel calculation architecture, and forms an electric energy quality characteristic data set; the intelligent analysis module receives the electric energy quality characteristic data set to form an abnormal event report; and the communication interaction module receives the abnormal event report, encapsulates the abnormal event report into a standardized data frame through a configurable protocol stack, synchronously pushes the standardized data frame to the local monitoring terminal and the cloud management platform, receives an external control instruction and feeds back the external control instruction to the intelligent analysis module to optimize an analysis strategy. The grid-connected line electric energy quality on-line detection device can solve the problem that complex disturbance cannot be recognized in real time and cannot be accurately traced to the source.

The invention provides a digital twin hydrological station system which is characterized in that the system comprises a layered architecture system and a multi-dimensional safety protection mechanism, the layered architecture system is composed of a sensing layer, a transmission layer, a data layer, a model layer, an application layer and a display layer from bottom to top, the sensing layer comprises a heterogeneous hydrological monitoring equipment cluster, and the transmission layer comprises a heterogeneous hydrological monitoring equipment cluster. The equipment cluster is provided with a water level sensor array, a Doppler flowmeter, a spectrum water quality analyzer and an environment monitoring terminal, and total element acquisition of hydrological element data, equipment operation state data and environment data is realized; the transmission layer adopts a hybrid communication protocol stack, integrates an ultra-short wave communication module, an NB-IoT narrowband communication module and an optical fiber communication module, and constructs a multi-path redundant transmission channel, and a key data transmission channel is configured with a dynamic link selection algorithm; the data layer comprises a distributed storage architecture, adopts a mixed storage mode of a relational database cluster and an unstructured database, and is internally provided with a data cleaning engine and a spatio-temporal data fusion module.

The invention relates to the technical field of network flow analysis, in particular to a non-intrusive network flow real-time analysis method and system based on an eBPF, and the method comprises the steps: deploying an eBPF program in a kernel mode, and capturing a network data packet entering a kernel protocol stack in real time; identifying an application layer protocol type and analyzing a key field; the structured data is transmitted to the user mode through the annular buffer area; and the user state carries out TCP stream recombination and session-level aggregation statistics on the structured data. According to the invention, on the premise that application codes are not modified, real-time and structured protocol analysis can be carried out on various common application layer protocols in a kernel layer; end-to-end delay is accurately disassembled through a full-link delay disassembling mechanism, and a performance bottleneck link is positioned; the analysis result is output in the form of structured data, second-level performance statistics and abnormal behavior detection are supported, and the operation and maintenance analysis efficiency and the system observability are remarkably improved.

The invention discloses a data processing chip based on a heterogeneous computing architecture, and relates to the technical field. The data processing chip based on the heterogeneous computing architecture comprises a data processing unit for receiving and preprocessing data to be transmitted; the clustering compression engine is used for carrying out clustering compression processing on the preprocessed data to be transmitted; the modulation and coding control unit is used for carrying out modulation and coding processing on the data to be transmitted after clustering compression processing; the redundant coding unit is used for carrying out redundant coding processing on the modulated and coded data to be transmitted; and outputting the to-be-transmitted data subjected to redundant coding processing to a protocol stack and interface unit of external equipment according to a set communication protocol. Through collaborative design of a clustering compression engine in a chip and a modulation coding control unit, clustering compression aiming at data structure characteristics and modulation strategy matching in a dynamic channel state are realized; the problems of fixed compression and modulation modes and lack of cooperation in the prior art are solved.

The present application belongs to the technical field of data processing and relates to a network message processing method and apparatus, and a computer device and a storage medium. The method comprises: on the basis of a received target network message, acquiring a target memory block from a pre-constructed shared memory pool, so as to generate a message memory; on the basis of a network-interface-card driver, performing first identification processing on the target network message, so as to obtain a target network message descriptor; on the basis of the target network message descriptor, performing second identification processing on the message memory, so as to obtain a first socket buffer; and performing parsing processing on the first socket buffer by means of a network protocol stack, and on the basis of a parsing processing result, reading network message data from a virtual memory corresponding to the message memory, so as to complete the processing of the network message. In the present application, on the basis of a constructed shared memory pool, zero-copy network packet reception can be realized during network message processing, thereby avoiding performance loss caused by the memory copy of messages.

The invention discloses an adaptive vulnerability protection method, device and equipment based on a dynamic game, relates to the technical field of network security protection, and aims to solve the problem of poor protection efficiency for network attacks changing in real time. The method comprises the following steps: collecting a three-dimensional feature set of network traffic through a distributed probe cluster, wherein the three-dimensional feature set comprises a protocol stack level feature, a session time sequence feature and a protocol state machine transfer feature; inputting the three-dimensional feature set into a detection engine integrated with a generative adversarial network and a transfer learning module, and outputting a dynamically weighted target anomaly score; generating an initial protection strategy based on the game tree model and the target anomaly score, wherein the initial protection strategy comprises a dynamic firewall rule, a detection sensitivity parameter and a decoy node topology configuration; and analyzing the space-time correlation characteristics of the initial protection strategy through the space-time attention network, iteratively optimizing the parameters of the initial protection strategy in combination with an incremental learning mechanism, and generating a target protection strategy.

The invention relates to the technical field of intelligent dormancy control of Internet of Things equipment, and discloses an intelligent dormancy control system of the Internet of Things equipment based on environment self-sensing, which comprises an environment feature extraction layer module, an environment dynamic model construction module, a self-adaptive dormancy decision engine module, a lightweight state cache module and a power supply cooperative control module. By acquiring the physical layer signal characteristics and the network layer connection state information of the NB-IoT protocol stack in real time, a dynamic model can be constructed based on the environmental signal fluctuation, the stability of the environment where the equipment is located can be accurately evaluated, the dormancy triggering condition can be dynamically adjusted, false wake-up caused by a fixed threshold value is avoided, dependence on a traditional sensor is reduced, and the reliability of the equipment is improved. The energy efficiency and adaptability of the equipment are improved, the anti-interference capability in an interference environment is improved, and the long-term stable operation of the equipment in a complex industrial environment is ensured.

The invention discloses a secure transmission system based on a multimedia short message, and relates to the technical field of communication and network security, and the system comprises a protocol stack security reinforcement module which carries out the hierarchical reconstruction of an MMS protocol stack, comprises a preprocessing layer, is used for intercepting and filtering illegal characters, and verifies the legality of a message structure through a finite-state machine; the analysis layer is used for pre-judging memory requirements based on message types and lengths by adopting a dynamic memory allocation strategy; the execution layer is integrated with a null pointer checking mechanism, and the validity of a pointer is forcibly verified before a protocol stack calls a function; the encryption and signature module is used for carrying out end-to-end encryption on a message body and metadata by adopting a hybrid encryption algorithm and carrying out message integrity verification through a lightweight hash tree; and the vulnerability real-time monitoring module is embedded into an abnormal behavior detection model based on machine learning and is used for dynamically identifying memory occupation abnormity and illegal instruction calling high-risk operation when the protocol stack runs.

The invention relates to the technical field of computer network security, in particular to a computer data dynamic protection method and system based on fusion factors, and the method comprises the following steps: S1, collecting multi-source heterogeneous data; s2, generating a dynamic fusion factor; s3, performing real-time risk level evaluation; s4, generating a self-adaptive protection strategy; and S5, performing cross-level protection. According to the method, the attack detection accuracy and response speed are remarkably improved through multi-source heterogeneous data fusion and a cross-hierarchy collaborative protection mechanism, and meanwhile, the deployment cost is reduced while the protocol stack hierarchy coupling attack detection problem is solved by utilizing a dynamic weight adjustment and hardware acceleration technology; and the problems of a single-dimensional defense blind area and strategy lag in a traditional scheme are effectively solved.

An apparatus in accordance with the present application may monitor a sidelink (SL) connection. The apparatus includes processing circuitry that receives signals in a protocol stack to perform SL-radio link monitoring (SL-RLM), and determines, according to the signals, whether a SL-radio link failure (RLF) has occurred. The signals may include hybrid automatic repeat request (HARQ) feedback. In a case that the signals include a HARQ-NACK, the processing circuitry determines that the SL-RLF has occurred. The processing circuitry further receives configuration information related to the SL-RLM for the signals, the configuration information including configurations for measurement quantities of the signals and a condition for declaring SL-RLF, configures, according to the configuration information, lower layers of the protocol stack for the SL-RLM for the signals, and performs SL-RLM measurements of the measurement quantities.

The invention belongs to the field of underwater acoustic networks, and relates to underwater Internet of Things, underwater environment monitoring, resource development and marine ecological protection. In order to provide an overall architecture of a simulation platform and an implementation technology of a core module of the overall architecture, and further enhance the simulation capability of an underlying protocol and a physical channel on the basis of being compatible with a standard network protocol stack and supporting seamless deployment of an existing application program, the invention provides an underwater Internet of Things semi-physical simulation system based on a container. Comprising a terminal host, a gateway node with underwater sound and wired network communication capabilities, and a plurality of real nodes which can be deployed underwater and have underwater sound communication capabilities, and an MAC simulation module and a channel simulation module are deployed on the terminal host and are used for constructing a simulation environment; and the semi-physical simulation interfaces are simultaneously deployed on the terminal host and the gateway node, so that traffic mapping in a simulation environment of the gateway node and the terminal host is realized. The method is mainly applied to design and manufacturing occasions of an underwater Internet of Things simulation system.

The invention provides an Ethernet network card fault prediction and recovery method and related equipment, and the method comprises the steps: carrying out the feature fusion of a network card physical layer parameter, a protocol stack flow parameter and environment interference data of an Ethernet, and generating a joint feature vector; determining a quantile prediction matrix corresponding to the network card key performance index according to a dynamic quantile prediction model constructed based on the joint feature vector; analyzing a node fault probability according to the quantile prediction matrix, and determining a high-risk node list based on a preset dynamic entropy threshold; constructing a dynamic tree network model through the high-risk node list, and generating a candidate recovery scheme set based on physical switching and protocol reconstruction; and optimizing the candidate recovery scheme set through an improved genetic algorithm, and outputting a global optimal recovery scheme. Through the implementation of the scheme of the invention, the potential risk can be predicted before the fault occurs, the optimal recovery path can be quickly matched, and the stability of the network and the continuity of the service are ensured.

The invention discloses a cross-platform communication protocol stack test system and method based on Autosar. The system comprises a GitLab server, a first source server, a control host, an Autosar CP and a test host AP. The GitLab server generates CP and AP version packages and triggers compiling and testing processes; the first source server remotely controls the embedded software development tool of the control host to complete compiling, and the control host burns a CP compiling product to the Autosar CP by using the embedded software development tool, uploads an AP compiling product to the test host AP, and triggers the Autosar CP and the test host AP to execute a communication protocol stack test service. According to the method, efficient testing of the communication protocol stack between the Autosar CP and the AP platform is achieved through the automatic compiling and testing process, the testing accuracy and universality are effectively improved, and the method is suitable for the testing scene of the automobile cross-platform communication protocol stack.

The invention relates to the technical field of industrial communication networks, in particular to a method for quickly forwarding messages from a PCIE (Peripheral Component Interface Express) interface to a WIA (Wireless Interface Architecture) interface, which comprises the following steps of: simultaneously receiving PCIE messages and WIA-FA protocol messages through a hardware logic circuit; analyzing the message in a data link layer to obtain an analysis result comprising data load and address information; packaging the analysis result according to a pre-configuration rule to generate a data frame conforming to a target protocol; and constructing a sending descriptor for the generated data frame, and sending the data frame from a corresponding interface through a direct memory access mechanism. According to the method, parallel analysis and protocol conversion of messages are achieved through a hardware logic circuit, fast address conversion is achieved through a pre-configured address mapping table, and zero-copy data transmission is achieved through a direct memory access mechanism. According to the invention, software protocol stack processing is replaced by a hardware processing flow, so that communication delay and CPU resource consumption are effectively reduced.

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products to facilitate coordination between multiple radio access technologies (RATs). In certain embodiments, a Stack Data Analytics Coordinator (SDAC) may be provided in association with radio protocol stacks (e.g., 5G NR and / or Wi-Fi) at user equipment and / or network access points (e.g., gNB and / or Wi-Fi AP). The SDAC may coordinate requests and / or collection of information (e.g., protocol stack measurements and / or statistics) among entities of multiple RATs. In certain embodiments, Network Data Analytics Services may be enhanced by being extended beyond a core network, such as to user equipment and / or network access points.

The invention relates to a parallel computing framework based on software definition and an implementation method thereof, the parallel computing framework comprises an operating system domain, a system service domain and a unified interface domain, and the operating system domain comprises equipment drive, task scheduling, signal management, memory management and various protocol stacks; the system service domain comprises a data plane, a control plane and a capability plane, and the data plane is responsible for loading, forwarding, mapping and exporting all data; the control plane is responsible for calculation task preprocessing, load separation, scheduling distribution, dynamic reconstruction, calculation scheduling and task estimation functions and supports expansion customization; the capability plane is mainly responsible for computing node capability registration, capability reconstruction, operator management, capability management and failure detection functions in the system; the unified interface domain has the functions of distributed calculation, model training, model reasoning and resource management. The problem of parallel computing efficiency under a resource-limited embedded heterogeneous system platform is solved, so that computing resources have dynamic self-organizing reconstruction capability according to computing requirements.

The invention relates to the technical field of data processing, in particular to an FPGA (Field Programmable Gate Array) and CPU (Central Processing Unit) cooperative network data processing system, which comprises a network interface module for receiving and forwarding an external data flow, and a protocol analysis module for distinguishing a service message and a protocol message based on a message header characteristic and a load mode; the service processing module executes protocol format conversion, security encryption and data extraction in the FPGA; the protocol stack interaction module transmits a protocol message to the CPU through the MAC layer communication interface; the protocol stack module activates necessary protocol services in the CPU and generates a resource allocation instruction; and the data integration module receives the service data flow and the protocol processing result, and dynamically adjusts the encryption rule. According to the invention, FPGA business data closed-loop processing and CPU protocol service physical isolation are realized, a double-processing-unit architecture supports financial signature and industrial filtering cascade operation, the MAC layer interface is additionally provided with cyclic redundancy check to guarantee transmission reliability, and equipment processing efficiency and anti-attack capability under a fusion scene are improved.

The invention relates to the technical field of computers, discloses a heterogeneous computing low-delay communication method and system, and aims to solve the problem of high delay caused by high communication protocol overhead, lack of dynamic scheduling collaboration, memory migration redundancy and non-uniform cross-node communication abstraction in existing heterogeneous computing. The method comprises the following steps: receiving a task scheduling request and analyzing a task dependency graph; tasks are dynamically allocated based on node loads and link states; rDMA, NVLink or PCIe straight-through protocols are adaptively selected according to node types to establish communication channels; zero-copy data exchange is realized through a shared memory mapping buffer area; hardware timestamps are utilized to synchronize feedback delays with PTP to optimize scheduling. The system comprises a heterogeneous computing node cluster, a unified communication scheduling controller, a low-delay communication protocol stack, a shared memory mapping buffer area and a communication delay sensing task distributor. According to the scheme, the communication delay is remarkably reduced, and the throughput and the task execution efficiency are improved.