Cloud computing task smart scheduling method and system, readable storage medium, and terminal

Abstract

The invention discloses a cloud computing task smart scheduling method and system, a readable storage medium, and a terminal. The method comprises the following steps: an intelligent cloud system receives a task processing request sent by an application layer, analyzes the corresponding to-be-processed task from the task processing request, decomposes the analyzed to-be-processed task into multiple corresponding sub-tasks to send to a virtual resource layer, and distributes the corresponding resources for multiple sub-tasks; the virtual resource layer is the information of the resource distributed to multiple sub-tasks, sends the received sub-tasks to an idle fog node nearby the sub-task location to process multiple sub-tasks, obtains the processing results of multiple sub-tasks and sendsto the intelligent cloud system; the intelligent cloud system receives the processing results of multiple sub-tasks and combines the same, thereby obtaining the corresponding processing result of theto-be-processed task, and sending the same to the application layer. Through the above scheme, the cloud computing task scheduling efficiency is improved in the premise of satisfying the quality of service demand, and the use experience of the user is improved.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a cloud computing task intelligent scheduling method and system, a readable storage medium, and a terminal. Background technique [0002] As an emerging business computing model, cloud computing is a product of the development of information technology and a model for the increase, use and delivery of Internet-based related services, usually involving the provision of dynamically scalable and often virtualized services over the Internet. Resources. [0003] The resource types of cloud computing systems are often heterogeneous, including computing resources, storage resources, network resources, etc., and the status of these resources is also in a process of constant change. In addition, there are many types of applications in the cloud computing environment, the user scale is very large and the needs are diverse, and the quality of service (Quality of Service, QoS...

AI Technical Summary

Problems solved by technology

In addition, there are many types of applications in the cloud computing environment, the user scale is very large and the needs are diverse, and the quality of service (Quality of Service, QoS) requirements of the application tasks requested by users are different, and it is difficult to meet the service quality requirements proposed by users. Larger coefficient

[0004] However, existing cloud computing task scheduling methods suffer from low efficiency

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