35 results about "Static dispatch" patented technology

The invention relates to the technical field of simulation scheduling combining static scheduling and centralized scheduling, and discloses a simulation scheduling method and system combining static scheduling and centralized scheduling. According to the simulation scheduling method and system combining the static scheduling and the centralized scheduling, pre-allocation and resource planning of tasks are carried out through the static scheduling, and the execution efficiency of periodic tasks is ensured. In combination with centralized scheduling, resource allocation is adjusted in real time in the simulation operation process, the phenomena of resource idleness and overload are reduced to the maximum extent, and dynamic optimization of resources is achieved. The execution sequence of key tasks is locked in advance by static scheduling, and the time constraint of deterministic tasks is ensured. The centralized scheduling can perform global coordination on burst tasks, adjust task priorities in real time and ensure timely response of the burst tasks, so that the real-time response capability of the simulation system is improved.

The invention relates to the technical field of construction resource scheduling, in particular to a water conservancy construction equipment scheduling method and system, and the method comprises the following steps: obtaining on-site point cloud and soil data to construct an environmental resistance field; calculating a dynamic work efficiency matrix by combining the equipment power parameters and the resistance field; generating an initial time sequence chain based on the work efficiency matrix, and calculating an overlapping volume of a three-dimensional space envelope body of the equipment; if there is overlap, the job time is adjusted according to the priority to generate a conflict-free scheduling instruction set. According to the method, the rated work efficiency parameters of different machine types in a specific operation area are corrected in real time by constructing the equipment passing resistance model fusing the terrain gradient and the soil moisture content, the problem that static scheduling cannot adapt to environmental changes is solved, and meanwhile space-time conflict detection logic based on the three-dimensional operation envelope surface is introduced; and when it is recognized that the multi-machine moving tracks are overlapped, avoiding or peak shifting instructions with priorities are automatically generated, and conflict-free collaborative operation of the equipment cluster in a complex water conservancy scene is achieved.

The invention relates to the technical field of industrial control, and discloses an industrial control system task scheduling method and system based on dynamic priority. The method comprises the following steps: acquiring equipment inclination angle data and performing data cleaning; analyzing a state change trend according to the cleaned data, extracting dynamic features, and mapping the feature values into risk levels by applying a risk assessment rule base; if the risk level exceeds a threshold value, determining a task emergency degree in combination with the risk level and equipment importance, and generating a task redistribution instruction; a task queue is adjusted according to the instruction and the emergency degree, and an adjusted task scheduling sequence is obtained after it is verified that resources are sufficient; and the queue state is continuously monitored to realize closed-loop adjustment. According to the method, by establishing closed-loop association of physical risk perception and task scheduling, the problem that a traditional static scheduling strategy cannot cope with dynamic changes of equipment is solved, and the safety and the operation efficiency of the industrial control system are remarkably improved.

The embodiment of the invention provides an embedded operation method and system based on preemptive multi-task scheduling, and belongs to the technical field of multi-task scheduling. The method comprises the following steps: initializing a global task priority group, a start-stop bit field group and an execution quality feedback table, and configuring parameters of a time base interrupt source; loading task parameters, and generating a task configuration table; driving each task cycle counter to accumulate through the time base interrupt source, and when the current accumulated value of the cycle counter is matched with the cycle parameter in the task configuration table and the start-stop bit field group is started, generating a ready mark graph; updating the global task priority group, determining a to-be-executed task, and completing task scheduling; and executing the to-be-executed task, calculating a task priority compensation value, and adjusting the priority value of the corresponding task in the global task priority group in the next period based on the task priority compensation value. According to the method, the defect of static scheduling accumulative errors is overcome through a dynamic priority compensation mechanism.

The invention relates to a context delay switching method and system based on an embedded operating system, and belongs to the technical field of embedded operating systems. According to the method, a dependency graph is constructed, a dependency state is analyzed, judgment and adjustment are carried out, conflict-free tasks are screened, sorting is carried out, and switching is executed; according to the method, the limitation that traditional static scheduling cannot adapt to task dependency relationship changes during operation is solved by constructing the dependency relationship graph and collecting and analyzing the dependency strength and the execution state between the tasks in real time, and in a complex embedded scene, the correlation degree between the tasks is quantified through a dependency strength formula, and the real-time state analysis is combined, so that the real-time state analysis is realized. The task switching sequence can be dynamically adjusted, it is ensured that key tasks are executed according to the dependency sequence, execution blocking or data errors caused by the fact that front tasks are not completed are avoided, switching of the tasks which do not meet dependency can be flexibly suspended, conflict-free tasks are executed, and therefore the real-time response capacity and the operation stability are improved.

The invention belongs to the technical field of task scheduling of a storage system, and discloses a user-mode-oriented storage task self-adaptive scheduling method and system, and a more efficient task processing framework is realized by replacing an original kernel thread-based storage task scheduling scheme with a user-mode coroutine scheduling mechanism. The multi-level priority queues are directly managed in task scheduling, and CPU core binding configuration is carried out, so that the switching delay of a user mode / kernel mode is reduced, and the task execution controllability is improved. A dual-threshold self-adaptive scheduling strategy switching technology is introduced, and a greedy scheduler and a reinforcement learning scheduler are combined, so that the problem of adaptability of a static scheduling strategy in a dynamic load environment is relieved, performance loss caused by scheduling strategy solidification is avoided, and the self-adaptive capability and service quality guarantee of a system under a complex load are improved. Compared with an existing task scheduling method based on a kernel thread, the task scheduling method has the advantages that the overall performance and the resource utilization rate of a storage system can be remarkably improved while the task execution efficiency and the SLA requirement are guaranteed.

This application provides a HARQ-ACK information feedback method and apparatus. The DCI sent by the network device to the terminal device activates semi-static scheduling and also dynamically schedules downlink data. The timing offset value from the PDSCH to the HARQ feedback indicated by the DCI can simultaneously indicate the time-domain position of the PUCCH carrying the HARQ-ACK information corresponding to the semi-static scheduled data, as well as the time-domain position of the PUCCH carrying the HARQ-ACK information corresponding to the aforementioned downlink data. Through this scheme, the time-domain position of the PUCCH carrying the HARQ-ACK information corresponding to the semi-static scheduled data determined by the terminal device is valid, thereby ensuring timely feedback of the HARQ-ACK information corresponding to the semi-static scheduled data and guaranteeing the transmission performance of the semi-static scheduled data.

The application provides a container pipeline scheduling management method and system based on an ARM+DSP heterogeneous multi-core processor and a medium, and the method comprises the following steps: configuring scheduling related attributes of a container, wherein the scheduling related attributes of the container comprise a container duration time DT and a container interval time IT, and the container comprises an ARM container and a DSP container; according to the scheduling related attributes of the container and a pre-established container linked list, a next container to be run is selected according to a time window static scheduling strategy, and the container pipeline is controlled to run. Compared with the prior art, the application realizes independent running of various containers under the premise that the containers are sequentially arranged, do not affect each other and can interact with each other under the condition of sharing physical resources.

This invention discloses a production data-driven intelligent scheduling method and system for mechanical equipment, relating to the technical field of equipment scheduling. The method includes: constructing a set of equipment operating characteristics; comprehensively evaluating the current load rate, processing capacity, and failure risk of each piece of mechanical equipment; constructing a scheduling objective function using equipment survivability scores as scheduling decision weight parameters; performing task allocation and processing path optimization calculations to generate an intelligent scheduling scheme for the mechanical equipment; and monitoring the scheduling execution process in real time to adaptively adjust the production scheduling scheme. This invention solves the technical problems in existing technologies where static scheduling cannot adapt to real-time changes in equipment status and lacks a dynamic risk feedback mechanism, leading to equipment overload, unplanned downtime, and cascading production delays during scheduling scheme execution. It achieves the technical effects of improving the production scheduling system's adaptability to dynamic equipment operating conditions, reducing the risk of unplanned downtime, and optimizing equipment utilization and production delivery reliability.

This invention relates to the field of construction resource scheduling technology, specifically to a method and system for scheduling water conservancy construction equipment. The method includes the following steps: acquiring site point cloud and soil data to construct an environmental resistance field; calculating a dynamic efficiency matrix by combining equipment dynamic parameters and the resistance field; generating an initial time sequence chain based on the efficiency matrix and calculating the overlapping volume of the equipment's three-dimensional spatial envelope; if overlap exists, adjusting the operation time according to priority to generate a conflict-free scheduling instruction set. In this invention, by constructing an equipment passage resistance model that integrates terrain slope and soil moisture content, the rated efficiency parameters of different machine models in specific operating areas are corrected in real time, solving the problem that static scheduling cannot adapt to environmental changes. Simultaneously, a spatiotemporal conflict detection logic based on the three-dimensional operating envelope surface is introduced, automatically generating priority avoidance or staggered operation instructions when overlapping of multiple machine operating trajectories is detected, thus realizing conflict-free collaborative operation of equipment clusters in complex water conservancy scenarios.

The present invention relates to the field of industrial control technology, and in particular to a TSN-based industrial equipment collaborative control method, system, and readable storage medium. The method comprises the following steps: a switch obtains the TSN network from a preset start detection time t1 to the current time t K The present invention adopts a static traffic scheduling strategy to ensure that critical control traffic is transmitted first; it uses an intelligent traffic dynamic scheduling algorithm, combined with the ant colony optimization algorithm, to analyze network status in real time and optimize network resource allocation. This effectively solves the problem that traditional traffic scheduling cannot adapt to network changes in real time.

The application relates to the technical field of simulation scheduling combining static scheduling and centralized scheduling, and discloses a simulation scheduling method and system combining static scheduling and centralized scheduling, which comprises the following steps: the simulation scheduling method and system provided by the application perform pre-allocation of tasks and resource planning through static scheduling, so that the execution efficiency of periodic tasks is ensured; in combination with centralized scheduling, resource allocation is adjusted in real time during simulation operation, the phenomena of resource idling and overloading are minimized, and dynamic optimization of resources is realized; the static scheduling locks the execution sequence of key tasks in advance, so that the time constraint of deterministic tasks is ensured; the centralized scheduling can globally coordinate burst tasks, adjust the task priority in real time, ensure timely response of emergency tasks, and thus the real-time reaction capability of the simulation system is improved.

The embodiment of the invention provides a dynamic resource scheduling method, electronic equipment and a storage medium, and relates to the field of resource scheduling. The method comprises the following steps: an upper computer obtains a source event triggering condition, and determines a triggering source and a source event priority in combination with a preset event priority table; when the trigger source is a lower computer, a starting signal is received, and whether the source event is executed or not is judged according to current task state information, the priority of the source event and a preset table; if execution is determined, sending a starting feedback signal to obtain a lower computer state message, converting the lower computer state message, and inputting the converted lower computer state message into the large language model agent to obtain a first instruction and an auditing result; if the verification is passed, the instruction is converted into a message to be issued, and after the lower computer permission decision is passed and executed, a first completion signal is received. The method is used for improving real-time performance, adaptability and reliability of resource scheduling, and avoiding insufficient system stability caused by the fact that static scheduling cannot respond to sudden demands or resource distribution is unbalanced.

The present application belongs to the field of industrial automation control and intelligent manufacturing technology, and relates to a manufacturing execution dynamic scheduling method and system based on multi-agent cooperation. The present application solves the problems that the traditional centralized static scheduling cannot adapt to the dynamic changes of the workshop, the decoupling of processing and logistics, the slow response of equipment failure, etc. The present application analyzes the production task into manufacturing intent nodes with front and rear dependencies. The device agent generates a bidding certificate based on the transient physical data of the underlying programmable logic controller and numerical control system. The order agent filters the optimal device to establish a point-to-point execution contract accordingly. During the processing, the physical completion timestamp of the workpiece is dynamically deduced, and the pre-logistics generates a carrying path with a time window, realizing the space-time synchronization of processing and logistics. When the equipment fails, the system locks the processing completion degree, initiates a relay processing request between adjacent devices and synchronously changes the logistics path, generating a local physical self-healing state, and improving the production robustness.

The invention relates to the technical field of wireless communication, and discloses a semi-persistent scheduling method, base station equipment and user equipment.The semi-persistent scheduling method comprises the steps that configuration information of semi-persistent scheduling parameters is sent to user equipment UE, so that the UE conducts semi-persistent scheduling data transmission based on the configuration information; and performing semi-static scheduling data transmission based on the configuration information of the semi-static scheduling parameters. According to the method provided by the embodiment of the invention, the low-delay requirement of URLLC can be met, so that the existing semi-static scheduling transmission mechanism can support higher low-delay requirements, multiple semi-static scheduling configurations are introduced at the same time, and different time-frequency resources are allocated for each semi-static scheduling configuration, so that multiple services can be supported at the same time.

The invention relates to the technical field of information, in particular to a distributed workflow load parallel scheduling method and device based on Monte Carlo. The method comprises the following steps: sampling execution time by using a Monte Carlo method; multiple scheduling schemes are generated based on static scheduling CPOP, after a critical path is obtained by using a CPOP algorithm, the search time is shortened by using a Monte Carlo search tree, and the scheduling schemes with long time are screened out; and sampling the execution time, calculating the minimum scheduling time obtained according to different scheduling schemes, and selecting the scheduling scheme with the minimum average value of the minimum scheduling time. The invention aims to break through the limitation of the traditional static scheduling method in dealing with the uncertainty of the task execution time, and more accurately grasp the randomness characteristic of the task execution time by means of analogue simulation and sampling analysis so as to realize a better scheduling strategy and overall performance optimization in a decision making process.

Computer-implemented method for generating a parallelized program for a multiprocessor system mounted in a vehicle on-board device (400), comprising: Dividing a sequential program into multiple macro-tasks according to a predetermined procedure using a parallelization compiler running on a computer, which controls an embedded system, wherein the sequential program is executed by a single-processor system; Generating, using the compiler, a macroflow graph based on an analysis of control dependencies and data dependencies between the macro tasks; Specify, by means of the compiler, based on the control dependency specified in the macroflow graph, at least one pair consisting of a start-end task and a finish-end task, wherein the start-end task is a macro task having a conditional branch, and the finish-end task is a macro task that is the first macro task executed common to all of several series of macro tasks executed sequentially from the start-end task as a starting point, wherein the specification includes: analyzing all possible execution paths from the start-end task and identifying the first macro task executed common to all of the series of macro tasks as the finish-end task; Merge, using the compiler, (i) the initiating end task, (ii) the termination end task, and (iii) all macro tasks that are executed after the start-up end-task and before the finish-up end-task into a block task to hide the conditional branch of the start-up end-task in the block task, wherein the block task is designed such that, from the perspective of tasks outside the block task, the conditional branch in the start-up end-task is hidden from tasks outside the block task, and the merging is performed in such a way as to eliminate control dependencies between block tasks, thereby enabling static scheduling; Extracting, by means of the compiler, based on the data dependencies between the macro-tasks, including the block-tasks after fusion, from parallel-executable macro-tasks that can be executed in parallel by multiple processor units included in the multiprocessor system mounted in the vehicle on-board device (400), wherein the block-tasks have no control dependencies among themselves after fusion and the extraction is performed based on data dependencies between the block-tasks and remaining macro-tasks, so that static scheduling between the block-tasks is possible; Execution, using the compiler, a static schedule that assigns the parallel-executable macro tasks to the processor units, thereby executing the parallel-executable macro tasks in parallel by the multiple processor units; and Generating, by means of the compiler, a parallelized program to be executed by the multiprocessor system mounted in the vehicle on-board device (400), based on a result of the static scheduling.

The invention provides a key service scheduling method and system for a service oriented architecture (SOA), and relates to the technical field of automobile SOA service, and the method comprises the steps: introducing unified AP / CP cross-platform priority mapping, special resource allocation and an elastic resource pool mechanism, and combining the real-time monitoring of a high-key service execution state and dynamic resource preemption. The problems that in traditional static scheduling, high-key services are prone to being blocked by low-key services, the resource utilization rate is low, and cross-platform scheduling is inconsistent are effectively solved. According to the method, idle computing resources are fully utilized to process QM-level low-key services while ensuring that ASIL-B and above-level safety key services always meet strict real-time requirements, and the resources are quickly recycled at key moments to guarantee high-quality tasks; therefore, collaborative optimization of scheduling flexibility, system reliability and hardware resource efficiency is realized under the function security constraint.

The application discloses an OpenMP static scheduling method for random loop load balancing. After the configuration of OMPi compiler in the linux environment, the random loop part in the calculation program is isolated. Then the execution time in each loop iteration is obtained by using the idea of iterative compilation, and the execution time is used to represent the load contained in the random loop. Then according to the obtained load information and the actual running thread number required, the load of each iteration in the random loop, the total load and the average load are obtained, the start and end indexes of each thread distribution to the iteration block are calculated, and the start and end index values are respectively stored in the corresponding pointers. Finally, the code about OpenMP scheduling in the compiler is changed to realize the scheduling strategy. The application overcomes the shortcoming of additional time overhead caused by pre-running, has no scheduling overhead, realizes the load balancing and speeds up the execution efficiency of the program.

Methods, apparatuses, and systems are disclosed for tracking an actual number of semi-persistent scheduling (SPS) transmissions performed to reduce signaling overhead. In one example aspect, a method of wireless communication includes transmitting, by a base station, a configuration of SPS transmissions to a mobile device. The method also includes transmitting, by the base station, an indication of actual SPS transmissions performed based on the configuration to the mobile device.

The invention provides an instruction scheduling method and device, equipment and a storage medium, and relates to the field of instruction processing, and the method comprises the steps: obtaining a to-be-scheduled instruction and a dependency relationship, constructing a directed acyclic graph, and adding an independent instruction into a ready list; calculating an initial priority according to the instruction characteristic parameters and the initial weight; in each scheduling period, the priority is adjusted by combining the hardware state and the scheduling state data, the instruction with the highest priority is selected for scheduling, and the directed acyclic graph and the list are updated until all the instructions are scheduled. Thus, the priority is adjusted by dynamically combining the hardware state and the scheduling state, the problem of key instruction scheduling delay caused by rigid priority distribution in a traditional method is solved, meanwhile, the limitation that static scheduling cannot adapt to dynamic change of the system state is broken through, and flexible priority adjustment and efficient instruction scheduling are achieved.

Disclosed in an embodiment of the present application are a method, apparatus and electronic device for improving uplink semi-persistent scheduling transmission capability, the method being applied to a terminal, the method comprising: receiving a narrowband radio resource control (RRC) connection establishment message, a narrowband physical uplink shared channel (NPUSCH) dedicated configuration cell in the narrowband RRC connection establishment message comprising a first field, the first field is used for indicating a use scheme of a transmission code block size (TBS) of uplink semi-persistent scheduling (UL SPS), and the use scheme comprises an expansion scheme; and under the condition that the first field is a first indication value or a second indication value, sending uplink data on the NPUSCH by adopting the TBS determined by the extension scheme, wherein the TBS determined by the extension scheme is not less than the TBS specified by a protocol.

The invention relates to the field of distributed computers, and discloses an integrated management system of a distributed computer, which realizes multi-level and dynamic resource management through a resource flow graph construction module, a resource scheduling module, a dynamic load balancing module and a real-time feedback module. The system automatically generates a resource flow graph according to node states and task requirements, optimizes task allocation by using real-time sampling data, and realizes load balancing and rapid fault transfer. An intelligent algorithm and feedback error calculation are adopted, the resource utilization rate and the system stability are effectively improved, the defects of uneven resource distribution, load fluctuation and slow fault response in traditional static scheduling are overcome, and the method is suitable for a large-scale calculation environment. According to the invention, a close information interaction mechanism is established among the modules, and global optimization of resource allocation, task scheduling, load balancing and fault recovery is realized through timing feedback and intelligent regulation and control. The system has the advantages of real-time response, strong adaptability and high fault-tolerant capability, and is obviously superior to the existing static scheduling scheme.

Aspects of the present disclosure provide an apparatus. For example, the apparatus can include a compiler configured to compile a neural network (NN) model to generate a plurality of operations / threads and determine whether each of the operations / threads is compute bound or memory bound, and a memory coupled to the compiler and configured to store the operations / threads. The apparatus can also include a thread scheduler coupled to the memory and configured to schedule the operations / threads of the NN model. The apparatus can also include a multi-engine processing unit that includes a plurality of compute units (CUs), and an executor coupled between the thread scheduler and the multi-engine processing unit. The executor can be configured to allocate the operations / threads of the NN model and activate a number of the CUs of the multi-engine processing unit for each of the operations / threads based on whether the operation / thread is compute bound or memory bound.

The invention discloses a semi-static resource scheduling method, which comprises the following steps of: monitoring downlink channel control information (DCI) of a first format group format, and activating semi-static scheduling (SPS) according to the indication of the DCI of the first format group format; the DCI of the second format group format is monitored, the SPS is released according to the indication of the DCI of the second format group format, and the format load size of the DCI of the second format group format is smaller than the format load size of the DCI of the first format group format. Compared with the prior art, the size of the scheduling DCI format load after the SPS is activated is smaller than the size of the scheduling DCI format load after the SPS is activated, the power consumption of monitoring and detecting the DCI by the UE is reduced, the downlink channel scheduling overhead of the SPS is reduced, the service delay is reduced, and the resource utilization efficiency is remarkably improved. In addition, the invention also discloses user equipment for semi-static resource scheduling.

The invention discloses a mobile carrier collaborative unloading method, system and equipment based on dynamic queue adjustment, and belongs to the technical field of automatic logistics. The specific method comprises the steps of dynamic queue initialization, queue capacity control, validity verification, dynamic queue adjustment, queue priority dynamic update, flexible segment dynamic adaptation, concurrent job control, exception handling, fault-tolerant mechanism and the like. Through three core mechanisms of linkage relation dynamic maintenance, flexible section real-time adjustment and follow-up synchronous control, efficient, safe and flexible cooperative unloading of the mobile carrier and the multiple butt-joint carriers is achieved, the efficient, flexible and real-time scheduling requirements in an automatic logistics scene are met, and the logistics efficiency is improved. The problems of low efficiency, resource waste and poor real-time performance in traditional static scheduling are solved.

Certain aspects of this disclosure provide techniques for transmitting dynamically scheduled transmissions that rewrite transmissions in a semi-static scheduling scenario. A method performed by a user equipment (UE) includes receiving a first control message, activating a first semi-static scheduling configuration and a second semi-static scheduling configuration for full-duplex communication, wherein: the first semi-static scheduling configuration includes a semi-persistent scheduling (SPS) timing and the second semi-static scheduling configuration includes a configured grant (CG) timing. The method may further include receiving a second control message that dynamically schedules a transmission that rewrites a downlink transmission in the SPS timing or an uplink transmission in the CG timing, and taking one or more actions to transmit the transmission that at least rewrites the downlink transmission in the SPS timing or the uplink transmission in the CG timing.

This invention discloses a multi-level fusion communication scheduling method and system, relating to the field of industrial processing communication scheduling technology. It solves the technical problem in existing technologies where, for a single process, the communication needs of each stage cannot be met while avoiding resource idleness. Specifically, it employs a hierarchical progression from "overall process scheduling → specific scenario scheduling → risk and hazard scheduling," covering the communication needs of different dimensions of the industrial processing production line and forming a complete multi-level fusion scheduling system. All scheduling is based on "actual scenario parameters," avoiding the rigidity of static scheduling and achieving dynamic and precise allocation of communication resources, balancing transmission efficiency and stability. By optimizing communication scheduling, from three levels—"reducing unnecessary scheduling," "allocating resources on demand," and "avoiding risks and hazards"—it ultimately ensures the qualified operation, efficient control, and low-risk operation of the industrial production line, providing communication-level support for the overall efficiency of the production line.

The invention discloses an order scheduling method and device, equipment and a storage medium, and relates to the technical field of order processing, and the method comprises the steps: determining the multi-dimensional state data of a current consumption order in an order scheduling scene; converting the order scheduling scene into a zero sum game of a defender and an attacker according to the multi-dimensional state data to obtain a global average net income; performing scheduling decision on the multi-dimensional state data through a PPO solver to obtain scheduling action data; and scheduling the current consumption order based on the global average net income and the scheduling action data. The order scheduling scene is converted into the zero-sum game of the defender and the attacker, and the PPO solver is combined to perform the scheduling decision, so that in the order scheduling process, if the order attack scene exists, the response can be quickly and stably performed, the limitation of the traditional static scheduling is avoided, and the robustness and the resource utilization rate of the order scheduling are improved.

The application discloses a multi-device cooperative control method applied to embedded real-time operating system deployment and relates to the field of embedded real-time operating systems, and comprises the following steps: S1: constructing a real-time dependency graph of a task link, and decomposing a multi-device cooperative task into a sub-task link unit containing an execution path, a real-time constraint threshold and a cross-device communication dependency relationship. The multi-device cooperative control method applied to embedded real-time operating system deployment effectively solves the problems of task priority conflict and resource utilization imbalance in a multi-device heterogeneous environment through a dynamic priority transfer mechanism and a distributed resource elasticity perception model. The system can perceive device load, communication link stability and task real-time requirement in real time, dynamically adjust sub-task weight and an execution path, ensure conflict-free transmission of end-to-end delay constraints, optimize global resource utilization rate and avoid the problems of device overload or idling caused by traditional static scheduling.