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Cache-based intelligent manufacturing edge computing task scheduling method and system

A task scheduling and intelligent manufacturing technology, applied in computing, program control design, genetic law, etc., can solve the problem that the performance of task scheduling method cannot meet the requirements, and achieve the effect of improving access speed and performance.

Active Publication Date: 2021-09-03
XIAN UNIV OF POSTS & TELECOMM
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The embodiment of the present invention provides a cache-based intelligent manufacturing edge computing task scheduling method and system to solve the problem that the performance of the task scheduling method in the prior art cannot meet the requirements

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  • Cache-based intelligent manufacturing edge computing task scheduling method and system
  • Cache-based intelligent manufacturing edge computing task scheduling method and system
  • Cache-based intelligent manufacturing edge computing task scheduling method and system

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Embodiment Construction

[0033] 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.

[0034] In the existing technology, edge computing, as a new computing method after cloud computing, sinks computing to the edge of the network close to users and data sources, and has the characteristics of low latency, high security, and strong location awareness. In recent years, edge computing provides users with low-latency and high-performance computing services by storing and processing data at the edge of the network to meet users' needs for delay-sensit...

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Abstract

The invention discloses a cache-based intelligent manufacturing edge computing task scheduling method and system. The method comprises the following steps: acquiring a data task; dividing privacy degrees for the data tasks; caching the data task by using a dynamic replacement-release caching mechanism; establishing a data task total time delay objective function according to the privacy degree of the data task and a cache mechanism; and solving the objective function by adopting a genetic-differential algorithm to obtain an optimal scheduling scheme. Compared with the prior art, the method has better performance in the aspect of time delay optimization, meanwhile, the security of data tasks is improved, and calculation requests of different tasks can be met. According to the method, the genetic-differential algorithm is used for solving the task scheduling strategy, compared with other scheduling algorithms, the algorithm has better performance in the aspect of time delay minimization, and meanwhile, the proposed dynamic replacement-release cache mechanism has a higher hit rate.

Description

technical field [0001] The invention relates to the technical field of intelligent manufacturing, in particular to a cache-based intelligent manufacturing edge computing task scheduling method and system. Background technique [0002] With the rapid development of smart manufacturing, the number of terminal devices has increased exponentially, and millions of sensors and wireless devices are connected to each other. The purpose is to realize the combination of automation and intelligence in smart manufacturing. However, devices in smart manufacturing have special requirements, such as low latency between terminals, processing massive data, high efficiency, and coordination of various cyber-physical systems. Existing equipment has limited computing power and is not suitable for complex manufacturing processes and data analysis. In the past decade, cloud computing platforms have been widely deployed, which enables industrial equipment to dispatch intensive computations to clo...

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Application Information

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IPC IPC(8): G06F9/48G06F9/50G06N3/12
CPCG06F9/4881G06F9/5022G06F9/5038G06N3/126
Inventor 金小敏王刚王忠民陈彦萍高聪夏虹
Owner XIAN UNIV OF POSTS & TELECOMM