Self-organizing cloud architecture and optimization method and system for edge computing

A technology of edge computing and optimization method, applied in computing, transmission system, energy-saving computing and other directions, can solve the problem that a single drone is difficult to process large-scale data and so on

Active Publication Date: 2019-02-01
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

With the growth of demand, applications such as target recognition and image processing gradually appear, which will generate big data, and it is difficult for a single drone to handle such large-scale data

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  • Self-organizing cloud architecture and optimization method and system for edge computing
  • Self-organizing cloud architecture and optimization method and system for edge computing
  • Self-organizing cloud architecture and optimization method and system for edge computing

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Embodiment Construction

[0067] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to protection domain of the present invention.

[0068] The present invention provides an ad hoc cloud architecture and optimization method and system for edge computing. Such as figure 1As shown, the present invention designs a hierarchical UAV system framework. In this framework, the UAV terminal makes a decision on the way to complete the task according to its own computing power, computing resources of the edge server, communication competition in the process of task transmission, etc. The task can be completed directly locally, or it can be offload...

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Abstract

The invention provides a self-organizing cloud architecture and optimization method and system for edge computing. The method comprises: a model construction step: performing model construction on a hierarchical unmanned aerial vehicle system; a decentralized computing unloading algorithm step suitable for an infinite virtual machine resource situation: respectively performing game decision according to conditions met by an unmanned aerial vehicle terminal bandwidth of the unmanned aerial vehicle system so as to achieve Nash equilibrium; and a decentralized computing unloading algorithm step suitable for a finite virtual machine resource situation: designing a decentralized computing unloading algorithm to perform algorithm computing. The invention provides a layered decentralized unloading method to reduce the communication overhead while maintaining the energy efficiency; and according to the self-organizing cloud architecture and optimization method and system provided by the invention, the energy-saving computing unloading decision problem in the hierarchical unmanned aerial vehicle system is modeled as a non-cooperative game for research, the decentralized computing unloadingalgorithm is designed for the situations of infinite virtual machine resources and finite virtual machine resources, and it is proved that the algorithm can achieve the Nash equilibrium.

Description

technical field [0001] The present invention relates to the field of unmanned aerial vehicle system computing offloading, in particular, to an ad hoc cloud architecture and optimization method and system for edge computing. Background technique [0002] At present, as an emerging technology, drones are widely used in military, public security and other fields. With the growth of demand, applications such as target recognition and image processing have gradually emerged, which will generate big data, and it is difficult for a single drone to process such large-scale data. Therefore, an ad hoc cloud system based on multi-UAVs emerged as the times require. In an ad hoc cloud, a large UAV coordinates multiple small UAVs to handle complex events. On the other hand, in many UAV systems, energy consumption is a key issue, and computing offloading, as an important energy reduction technology, has been applied to task offloading between UAVs and cloud servers based on Duoyun. middl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04L12/24G06F9/455
CPCG06F9/45558G06F2009/4557G06F2009/45595H04L41/0823H04L67/10Y02D10/00
Inventor 姚建国陈备清管海兵周海航潘春阳
Owner SHANGHAI JIAO TONG UNIV
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