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Lightweight resource virtualization and allocation method

An allocation method, a lightweight technology, applied in the network field, to achieve the effects of optimizing resource utilization, fast service startup, and low system resource consumption

Active Publication Date: 2020-07-17
ZHONGKE JIUDU BEIJING SPATIAL INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Aiming at the disadvantage that the traditional ant colony algorithm is easy to fall into local optimum when solving the problem of task allocation, Wang Junying and others proposed a probability-adaptive ant colony algorithm, which sorts the assigned tasks

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  • Lightweight resource virtualization and allocation method

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Embodiment Construction

[0025] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0026] The lightweight resource virtualization and allocation method of the present invention comprises the following steps:

[0027] (a) Divide the container public image in the service center into different image layers, and obtain image layer management information; the image layers are the kernel layer, operating system layer, public component layer, development language layer and development layer from bottom to top. frame layer (such as figure 1 to make);

[0028] (b) Select the image of any node in the container public image as the base image, develop the application service image on the basis of the base image, and divide the necessary basic common image layers according to the base image; developers can choose according to the needs figure 1 The image of any node in the container is used as its basic image, and the application se...

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Abstract

The invention relates to a lightweight resource virtualization and allocation method, which comprises the following steps of: (a) dividing a container public mirror image in a service center into different mirror image layers, and acquiring mirror image layer management information; (b) selecting a mirror image of any node in the container common mirror image as a basic mirror image, developing anapplication service mirror image on the basis of the basic mirror image, and dividing a necessary basic common mirror image layer according to the basic mirror image; (c) analyzing the mirror image layer management information, and pre-loading the necessary basic common mirror image layer in combination with hardware characteristics and task missions of the nodes; and (d) utilizing the containerengine to pull the mirror image layer data in the same service center in a blocking manner or establish a P2P network for mirror image data transmission between different service centers. In this way,the resource utilization rate in the container stack can be optimized, meanwhile, the mirror image distribution speed and the mirror image loading speed are increased, and finally service starting asfast as possible and system resource consumption as low as possible are achieved.

Description

technical field [0001] The invention belongs to the field of network technology and relates to a lightweight resource virtualization and allocation method. Background technique [0002] Traditional virtualization technologies such as vSphere or Hyper-V are operating system-centric, while container technology (Container technology) is an application-centric virtualization technology. In 2013, the lightweight virtualization technology represented by Docker received widespread attention, so container technology also received widespread attention (Docker is an advanced LXC-based container engine open sourced by PaaS provider dotCloud). At the same time, Docker itself is actively developing a management solution based on Docker containers; Docker Machine is a tool that can directly install the Docker engine with a single command; Docker Swarm is a cluster and scheduling tool that will , The use and performance requirements of containers self-optimize the infrastructure of distri...

Claims

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Application Information

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IPC IPC(8): H04L29/08G06F9/455
CPCH04L67/104H04L67/1074G06F9/45558G06F2009/45595Y02D10/00
Inventor 李新明刘斌
Owner ZHONGKE JIUDU BEIJING SPATIAL INFORMATION TECH