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Fog computing task unloading time delay optimization method based on improved particle swarm algorithm

A technology for improving particle swarms and optimization methods. It is applied in computing, computing models, program control design, etc. It can solve the problems of large task load and large delay of terminal equipment, improve system performance and service quality, reduce delay, Obvious effect

Active Publication Date: 2020-12-15
HOHAI UNIV
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Problems solved by technology

[0003] However, the introduction of fog computing also brings a series of challenges. The amount of tasks generated by terminal devices may be large, and distributing them to fewer fog nodes for calculation will bring a large delay

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  • Fog computing task unloading time delay optimization method based on improved particle swarm algorithm
  • Fog computing task unloading time delay optimization method based on improved particle swarm algorithm
  • Fog computing task unloading time delay optimization method based on improved particle swarm algorithm

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Embodiment Construction

[0037] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0038] The choice of scene directly affects the performance of fog computing task unloading delay optimization. The following is a detailed analysis of scene setting and parameter setting.

[0039] 1. Function and quantity of fog nodes

[0040] In the fog computing task offloading system, the terminal node (TN) is a node that generates various data tasks. The terminal node can calculate a small amount of data tasks, and more data tasks are offloaded to many fog nodes (FN...

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Abstract

The invention discloses a fog computing task unloading time delay optimization method based on an improved particle swarm algorithm; a fog computing system comprises terminal nodes for task unloadingand fog nodes for receiving task processing, and one terminal node can unload a task to a plurality of fog nodes for task processing. The method comprises the following steps: firstly, initializing system parameters and an initial population, and setting the speed and position of each particle; then taking minimization of unloading time delay of the system as a target, and taking an unloading timedelay value corresponding to each particle as a fitness function value of a particle swarm algorithm; iteratively calculating the individual optimal value of each particle and the global optimal value of the whole group, evolving the speed and position of the particles, and carrying out boundary condition processing; and finally, when evolution algebra iteration meets a termination condition, stopping the algorithm, and obtaining the optimal unloading time delay of task unloading. On the premise of meeting the user service quality, the task unloading time delay can be effectively reduced, andthe system fog computing task unloading efficiency is improved.

Description

technical field [0001] The present invention relates to the field of fog computing task offloading, in particular to a fog computing task unloading delay optimization method based on an improved particle swarm optimization algorithm (IPSO). Background technique [0002] With the rapid development of communication technology, the global information age characterized by networking has gradually begun. Due to the mature development of the fifth-generation mobile communication technology (5G) and the full deployment of 5G base stations, new applications such as smart cities, smart homes, smart vehicle road systems, and driverless driving continue to emerge. The access of more and more mobile devices and IoT devices will inevitably lead to explosive growth of data traffic. Therefore, in order to meet the huge demand for data traffic of the growing global users and user equipment, new network technologies emerge in an endless stream. The development of cloud computing technology...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50G06N3/00
CPCG06F9/5066G06N3/006
Inventor 李旭杰张光照孙颖辛元雪胡居荣顾燕张云飞李建霓
Owner HOHAI UNIV
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