Collaborative scheduling method, system and device for dynamic edge computing

An edge computing and collaborative scheduling technology, which is applied in the direction of computing, computing models, multi-programming devices, etc., can solve problems such as large scale and quantity, difficulty in increasing the implementation of edge computing, and limited computing power of edge nodes.

Pending Publication Date: 2020-09-29
INST OF AUTOMATION CHINESE ACAD OF SCI +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In edge scenarios, on the one hand, the dynamic changes of edge nodes and mobile devices add difficulties to the implementation of edge computing; on the other hand, the computing power of edge nodes is limited, and the service capability of a single edge node is very limited, but the scale is huge

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  • Collaborative scheduling method, system and device for dynamic edge computing
  • Collaborative scheduling method, system and device for dynamic edge computing
  • Collaborative scheduling method, system and device for dynamic edge computing

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Embodiment Construction

[0052] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than Full examples. 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.

[0053] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, not to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are sho...

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Abstract

The invention belongs to the field of edge computing, particularly relates to a collaborative scheduling method, system and device for dynamic edge computing, and aims to solve the problem of collaborative scheduling of existing large-scale dynamic edge nodes. The method of the system comprises the following steps: acquiring a to-be-allocated computing task queue and configuration information of each edge node, and initializing parameters; randomly distributing ants on each edge node; acquiring an edge node allocated to the current task to be allocated, and moving the ant to the node; modifying the tabu table according to the node allocated to the current task, and calculating the local pheromone concentration; judging whether the currently selected ants allocate an edge node to all the tasks or not; judging whether all ants complete task allocation or not, and calculating global pheromone concentration for updating; and judging whether the current round of iteration reaches the maximum number of iterations or not, and obtaining an optimal allocation scheme. According to the invention, the problem of large-scale dynamic edge node cooperative scheduling is solved.

Description

technical field [0001] The invention belongs to the field of edge computing, and in particular relates to a collaborative scheduling method, system, and device for dynamic edge computing. Background technique [0002] With the development of the Internet of Things, the contradiction of communication delay in the mode of cloud computing directly processing computing tasks from mobile devices has become increasingly prominent, and it has become increasingly difficult to meet high real-time requirements, and edge computing has emerged as the times require. Edge computing provides computing close to the data, which provides new possibilities for low latency and privacy protection. [0003] In edge scenarios, on the one hand, the dynamic changes of edge nodes and mobile devices add difficulties to the implementation of edge computing; on the other hand, edge nodes have limited computing power, and the service capability of a single edge node is very limited, but the scale is huge...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50G06N3/00
CPCG06F9/5027G06F2209/502G06N3/006
Inventor 熊刚付海军陈世超朱凤华谭思敏李伟奚帮文王飞跃
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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