Task scheduling method and device, information processing method and device, equipment and storage medium

Abstract

The invention discloses a task scheduling method and device, an information processing method and device, equipment and a storage medium. The task scheduling method comprises the following steps: receiving request information which is sent by a network service component and is used for creating a load balancer or updating the configuration of a first load balancer; querying the pre-collection information based on the request information to obtain a query result; based on the query result, determining a target proxy process component from the at least one proxy process component; and creating a load balancer or updating the configuration of the first load balancer based on the target proxy process component. According to the method and the device, task scheduling and processing are performed by determining the working state of the proxy process component and the resource use condition of the corresponding server, so that high availability of a load balancing open source scheme is ensured, and the resource utilization rate of the server is optimized.

Description

technical field [0001] The present invention relates to the field of cloud computing, and in particular, to a task scheduling method, an information processing method, an apparatus, a device and a storage medium. Background technique [0002] At present, the elastic load balancer based on cloud computing service is favored by the majority of users and widely used because of its flexible and scalable deployment mode and the function of large traffic distribution. [0003] However, in the existing deployment scheme, once the proxy process component goes down, the stock load balancer of the server to which the proxy process component belongs will not be able to perform addition, deletion and modification operations within a certain period of time, that is, the server loses its control over these load balancers. Operation right, even if an available agent process component is randomly assigned, there is still the problem of unbalanced or low utilization of system resources cause...

AI Technical Summary

Problems solved by technology

[0003] However, in the existing deployment scheme, once the agent process component goes down, the stock load balancer of the server to which the agent process component belongs will not be able to perform addition, deletion, and modification operations within a certain period of time, that is, the server loses control of these load balancers. Operating rights, even if an available agent process component is randomly assigned, there is still the problem of unbalanced or low utilization of system resources due to uneven deployment and scheduling of load balancers

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