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Multi-sequence-mode task execution method, device and system and storage medium

A task execution and sequential mode technology, applied in the network field, can solve problems such as low scheduling efficiency and complex processing of different types of tasks

Pending Publication Date: 2022-02-11
技象科技(浙江)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a multi-sequence mode task execution method, device, system and storage medium to solve the technical problems of low scheduling efficiency of multi-core processing task scheduling of the Internet of Things and complex processing of different types of tasks in the prior art

Method used

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  • Multi-sequence-mode task execution method, device and system and storage medium
  • Multi-sequence-mode task execution method, device and system and storage medium
  • Multi-sequence-mode task execution method, device and system and storage medium

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Embodiment 1

[0045] figure 1 A flowchart of a task execution method in a multi-sequence mode provided by Embodiment 1 of the present invention. The task execution method in the multi-sequence mode provided in the embodiment can be executed by various operation devices for task execution in the multi-sequence mode. The operation device can be implemented by means of software and / or hardware. The operation device can be two It can be composed of multiple physical entities, or it can be composed of one physical entity.

[0046] Specifically, refer to figure 1 , the task execution method of the multi-sequence mode specifically includes:

[0047] Step S101 : monitor the task status in the multi-core IoT system, each execution core of the multi-core IoT system is allocated a common cache interval correspondingly, and the common cache interval is a first-in-first-out in the multi-core IoT system. A section of the buffer queue is output, and the first-in-first-out buffer queue is further provid...

Embodiment 2

[0071] figure 2 This is a schematic structural diagram of a task execution apparatus in a multi-sequence mode according to Embodiment 2 of the present invention. refer to figure 2 , the multi-sequence mode task execution device includes: a state monitoring unit 210 , a task cache unit 220 and a task acquisition unit 230 .

[0072] Wherein, the state monitoring unit 210 is used to monitor the task state in the multi-core IoT system, each execution core of the multi-core IoT system is assigned a corresponding common cache interval, and the common cache interval is the multi-core IoT system. A section of the FIFO cache queue in the networked system, the FIFO cache queue is also provided with a priority cache section; the task cache unit 220 is used to prioritize the latest task according to the task when monitoring the input of the latest task level cache to the first cache section or priority cache section, so as to be allocated to the execution core corresponding to the fir...

Embodiment 3

[0084] image 3 This is a schematic structural diagram of an IoT node device provided in Embodiment 3 of the present invention. The IoT node device is used to form an IoT system, and then the task scheduling in this solution is comprehensively implemented. like image 3 As shown, the IoT node device includes a processor 310, a memory 320, an input device 330, an output device 340 and a communication device 350; the number of processors 310 in the IoT node device may be one or more, image 3 Take a processor 310 as an example in the above; the processor 310, the memory 320, the input device 330, the output device 340 and the communication device 350 in the IoT node device can be connected through a bus or other means, image 3 Take the connection through the bus as an example.

[0085] As a computer-readable storage medium, the memory 320 can be used to store software programs, computer-executable programs, and modules, such as program instructions / modules corresponding to th...

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Abstract

The embodiment of the invention discloses a multi-sequence-mode task execution method and device, an Internet of Things system and a storage medium. The method comprises the steps that the task state in the multi-core Internet of Things system is monitored, each execution core of the multi-core Internet of Things system is correspondingly distributed with one section of a first-in first-out cache queue, and the first-in first-out cache queue is further provided with a priority cache interval; when it is monitored that the latest task is input, the latest task is cached to a first cache interval or a priority cache interval according to the task priority so as to be correspondingly allocated to an execution core corresponding to the first cache interval or enter a priority allocation state, and the first cache interval is the cache interval with the longest current remaining cache queue in the common cache intervals; and the execution core adaptively adjusts the task acquisition mode according to the acquisition state of the priority task after the current task is processed. According to the scheme, the data processing efficiency of multi-core processing task scheduling in the Internet of Things system is improved, and the processing requirement of the priority task is ensured.

Description

technical field [0001] Embodiments of the present invention relate to the field of network technologies, and in particular, to a task execution method, apparatus, system, and storage medium in a multi-sequence mode. Background technique [0002] The Internet of Things is regarded as a major development and change opportunity in the information field, and is expected to bring revolutionary changes. The field has a full impact. But from a technical point of view, the Internet of Things is not only the main body of changing data transmission, but also has obvious differences from traditional communication. For example, massive IoT is characterized by large numbers of users sending small packets sporadically, unlike traditional cellular communications. [0003] In order to meet the task scheduling requirements in the Internet of Things, high-performance embedded nodes are usually designed for large-scale Internet of Things to process the data collected in the Internet of Thing...

Claims

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Application Information

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IPC IPC(8): G06F9/48G06F9/50
CPCG06F9/4856G06F9/5027
Inventor 刘阳温文坤王琳刘贝彦
Owner 技象科技(浙江)有限公司
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