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Task scheduling method and system based on distributed system

A technology of distributed system and task scheduling, applied in the field of task scheduling system based on distributed system

Pending Publication Date: 2022-08-02
江苏安超云软件有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are certain defects in the current task scheduling strategy of distributed systems

Method used

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  • Task scheduling method and system based on distributed system
  • Task scheduling method and system based on distributed system
  • Task scheduling method and system based on distributed system

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Embodiment Construction

[0042] The present invention will be described in detail below with reference to the various embodiments shown in the accompanying drawings, but it should be noted that these embodiments do not limit the present invention. Equivalent transformations or substitutions all fall within the protection scope of the present invention.

[0043] Before describing each embodiment of the present application in detail, necessary explanations or definitions are given to the meanings of main technical terms and English abbreviations involved in each embodiment.

[0044] the term" Worker node "refers to the machine that actually performs the task in a distributed system.

[0045] the term" Leader node "refers to a machine in a distributed system responsible for task distribution and is associated with the term " master node ” has the equivalent technical meaning.

[0046] the term" Follower node "refers to a complementary worker node in a distributed system as a leader node, and is ...

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Abstract

The invention provides a task scheduling method and system based on a distributed system. The task scheduling method comprises the following steps: deploying label handles for collecting resource attribute information of working nodes to which the nodes belong in existing master nodes and / or slave nodes in the distributed system; collecting node attribute information of a working node to be added into the distributed system through the label handle, and adding label information to the working node to be added into the distributed system; the distributed system receives the task and obtains resource consumption records and label information of the task allocated to the working nodes, so that when the distributed system receives a new task, the resource consumption records and the label information of all the working nodes based on task execution are collected, and the working nodes responding to the new task are determined. Through the method and the device, the reasonability in the process of matching the working nodes for different tasks is realized, so that the machine performance difference of the working nodes does not need to be considered in the deployment and operation process of the distributed system.

Description

technical field [0001] The invention relates to the technical field of computer resource management, in particular to a distributed system-based task scheduling method and a distributed system-based task scheduling system. Background technique [0002] A distributed system is composed of multiple computers and communicating software connected through a computer network (local area network or wide area network). A distributed system is a software system built on a network, so it has a high degree of cohesion and transparency. Distributed systems have many technical advantages such as reliability, high fault tolerance, scalability, flexible deployment, fast computing speed and high performance. Therefore, it is widely used in technical scenarios such as online shopping, financial payment, data center, and high concurrent access. [0003] Users (or administrators) use the Web, APP, and SDK to connect to the distributed system through HTTP and TCP. In order to achieve high co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50G06F9/48
CPCG06F9/5083G06F9/5027G06F9/4843Y02D10/00
Inventor 不公告发明人
Owner 江苏安超云软件有限公司
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