Cloud computing task scheduling method facing real-time demand change

Abstract

The invention discloses a cloud computing task scheduling method facing real-time demand change and belongs to the technical field of cloud computing. According to the difference of demands of tasks required by users on real-time performance, the priority of the required tasks is divided into three levels according to values calculated according to a task classification function, tasks of different levels are distributed to corresponding virtual machines by adopting different scheduling strategies, and the demands of the tasks required by the users on the real-time performance are met. Meanwhile, a non-idle virtual machine cluster and a virtual machine buffering queue are built, the non-idle virtual machine cluster is used for normal task scheduling, and the virtual machine buffering queue achieves buffering of the non-idle virtual machine cluster. Under the condition that execution task load is large, a new virtual machine can be added into the non-idle virtual machine cluster at any time, and computing tasks are executed. When execution task load is small, a part of virtual machines can be closed and exit the virtual machine cluster, and efficient use of virtual machine resources is achieved.

Description

technical field [0001] The invention relates to a cloud computing task scheduling method, in particular to a cloud computing task scheduling method oriented to changes in real-time requirements, and belongs to the technical field of cloud computing. Background technique [0002] As a new technology, cloud computing is receiving more and more attention and has been applied in many fields. The broad definition of cloud computing refers to the delivery and usage mode of services. Services are obtained through the network in an on-demand and easily scalable manner. Such services can be IT infrastructure, software, networks, etc., or other services. Cloud computing can provide users with cheap, flexible, on-demand, and secure services, saving users the overhead cost of hardware. [0003] The emergence of virtualization technology provides an ideal solution for cloud computing. By deploying multiple virtual machines on the server, multiple tasks can run independently on different...

AI Technical Summary

Problems solved by technology

When batch tasks arrive and task scheduling needs to be performed, multiple tasks will be queued in the virtual machine to be executed, resulting in prolonged task response time, which will increase the user's waiting time. For tasks with high real-time requirements, the Unable to meet the user's QoS requirements

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