Multitask unloading method and system in time-sensitive network

A time-sensitive, multi-tasking technology, applied in the field of multi-task offloading methods and systems, can solve the problems of limited computing and storage resources, waste of computing resources, and affecting the real-time performance of tasks.

Active Publication Date: 2020-12-04
致瓴探(上海)科技有限公司
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  • Abstract
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Problems solved by technology

Edge computing nodes are different from centralized central processing units, with limited computing and storage resources. When an edge device receives a large amount of computing processing demand in a short period of time, ECN may not be able to meet the computing demand and cause tasks to be queued, affecting the real-time performance of tasks.
At the same time, the load between edge computing nodes is unbalanced. When some edge computing nodes are overloaded, other nearby edge nodes may be relatively idle, resulting in a waste of computing resources.
[0003] In industrial network scenarios, different industrial applications or various emergencies may also cause load imbalance between ECNs

Method used

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Embodiment Construction

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0021] figure 1 It is a flow chart of the multi-task unloading method of the present invention, such as figure 1 As shown, the method includes the following steps:

[0022] S1. Establish a task model for the task to be offloaded according to its attributes, and the attributes at least include the amount of code of the task, the amount of data input by the task, and the density of code calculation;

[0023] Firstly, to model the task to be offloaded, it is ne...

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Abstract

The invention belongs to the technical field of edge computing and time sensitive networks, and provides a multitask unloading method and system in a time sensitive network, and the method comprises the steps: building a task model for a task to be unloaded according to the attribute of the task, and the attribute at least comprises the code quantity of the task, the data quantity input by the task and the code computing density; in the task model, solving the total time consumed by the task under each decision according to an unloading decision basis, and constructing an optimal decision function of each task by taking minimization of the consumed total time as a target; according to a game algorithm, in a multi-task scene, performing finite iterative computation on the optimal decision function of each task, and calculating a decision result that multiple tasks reach Nash equilibrium. According to the technical scheme, insufficient computing resources can be relieved, meanwhile, thereal-time performance of tasks is not affected, and even the real-time performance of task delivery is improved to a certain extent, so that loads between computing nodes are balanced, and the methodhas good practical significance and application value.

Description

technical field [0001] The invention belongs to the technical field of edge computing and time sensitive network (TSN, Time sensitive network), and proposes a method and system for offloading multiple tasks in a time sensitive network. Background technique [0002] At present, the research on edge task offloading mainly focuses on the situation of moving users to edge servers or to the cloud, and there is almost no discussion on task offloading between edge nodes (ECN, Edge Computing Node). Edge computing nodes are different from centralized central processing units, and have limited computing and storage resources. When edge devices receive a large number of computing processing demands in a short period of time, ECN may not be able to meet the computing demands and cause tasks to be queued, affecting the real-time performance of tasks. At the same time, the load among edge computing nodes is unbalanced. When some edge computing nodes are overloaded, other nearby edge nodes...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08
CPCH04L67/1023Y02D10/00
Inventor 陈俊华张磊钟雪梅黄学达
Owner 致瓴探(上海)科技有限公司
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