Containerized service scheduling framework and elastic scheduling algorithm

A scheduling algorithm and container technology, applied in the direction of instruments, computing, multi-programming devices, etc., can solve problems such as poor flexibility, low service scalability, and low distribution efficiency

Pending Publication Date: 2022-05-13
GUANGDONG POWER GRID CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the existing resource distribution efficiency and flexibility of the edge-side scheduling strategy of the electric power Internet of Things are low, which leads to high data processing delay and low service scalability.

Method used

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  • Containerized service scheduling framework and elastic scheduling algorithm
  • Containerized service scheduling framework and elastic scheduling algorithm
  • Containerized service scheduling framework and elastic scheduling algorithm

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Embodiment 1

[0052] refer to figure 1 , is the first embodiment of the present invention. This embodiment provides a containerized service scheduling framework and an elastic scheduling algorithm. The containerized service scheduling framework and the elastic scheduling algorithm include: figure 1 As shown, the overall architecture adopts a distributed master / slave architecture, and the master node acts as the control center of the entire cluster and is mainly responsible for resource allocation, scheduling, and recovery. All slave nodes are used as resource pools, as partition objects of the master node. All nodes use virtual machines, and multiple virtual machines ensure the availability of nodes and minimize the possibility of node failure. All nodes in the entire architecture run as containers through the Docker engine. The cluster storage uses the distributed database etcd to store metadata and the expected and current status of all resources in a highly available key-value storage ...

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Abstract

The invention discloses a containerized service scheduling framework and an elastic scheduling algorithm. The algorithm comprises the steps that a user request is subjected to semantic analysis and forwarding through an API gateway of a main node; the analyzed actual operation objects are created and scheduled, and all the objects are stored in a key value database; additional controller processes perform health monitoring on the objects in the cluster. According to the invention, a Docker container technology and a Kubentes container management technology are integrated, a power Internet of Things edge side service scheduling framework based on the container technology is provided, and under the power Internet of Things edge side service scheduling framework based on the container technology, in order to make up for the defects of a power Internet of Things edge side service scheduling algorithm, on the basis of an annotated ant colony algorithm, a power Internet of Things edge side service scheduling algorithm is provided. In order to optimize and improve initialization and updating of pheromones, setting of heuristic factors and the like, an elastic resource dynamic scheduling algorithm based on an ant colony algorithm is designed, load balancing of edge end task allocation is achieved, and limited edge resources are made to play the maximum effect.

Description

technical field [0001] The invention relates to the technical field of electric power internet of things, in particular to a containerized service scheduling framework and an elastic scheduling algorithm. Background technique [0002] In the new generation of power Internet of Things, high bandwidth, high density, and low latency are the mainstream characteristics of services. If the original cloud computing model is still used, the speed, latency and stability cannot be guaranteed at all. Edge computing is a computing model that provides services to users at the edge of the network, featuring low latency and high bandwidth. With the application of edge computing technology, the service scheduling function is gradually tilted to the edge side. However, the resource distribution efficiency and flexibility of the existing power Internet of Things edge-side scheduling strategy are low, which leads to high data processing delay and low service scalability. Contents of the in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/455G06F9/50
CPCG06F9/45558G06F9/5077G06F9/5083G06F9/5038G06F9/5072G06F2009/45595G06F2009/4557G06F2009/45591G06F2209/502
Inventor 曾纪钧龙震岳张小陆梁哲恒
Owner GUANGDONG POWER GRID CO LTD
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