Cloud computing system service cost and reliability driven job scheduling method

Abstract

A cloud computing system service cost and reliability driven job scheduling method comprises the following steps: 1) establishing a cloud computing system which is composed of a user module, an operation queue module, a resource management module, an operation scheduling module, a reliability analysis module, a physical resource layer module and a virtual machine; initializing the virtual machine,and receiving operation submitted by a cloud computing system user to an operation queue; 2) querying whether a job waiting queue has a job to be scheduled or not by an operation scheduling method; if not, ending the job scheduling algorithm; if yes, each operation in the operation waiting queue executing the step 3), the step 4), the step 5), the step 6), the step 7) and the like. According to the cloud computing system service request scheduling method, under the constraint of cloud service response time, efficient scheduling of the cloud computing system service request can be achieved bycomprehensively compromising and optimizing the service cost and the computing reliability, and therefore the system performance is improved.

Description

technical field [0001] The present invention relates to the technical field of cloud computing system job adjustment cloud computing system service cost and reliability driven job scheduling method, in particular to the cloud computing system service cost and reliability driven job scheduling method. Background technique [0002] With the rapid deployment of on-demand virtualized IT infrastructure (such as servers, storage, and databases), more and more cloud services are provided to individuals and organizations on a pay-as-you-go basis over wired and wireless Internet. This is due to the most prominent resource delivery model of cloud computing, where all resources such as machines, networks, applications, software, and platforms can be delivered to users as services. Similar to socioeconomic services, cloud quality of service (QoS) such as security, sustainability, reliability, energy consumption, cost, etc. has become an important challenge for cloud service providers, a...

AI Technical Summary

Problems solved by technology

However, these multi-replica reliability enhancement technologies need to use more redundant system virtual machines, which will inevitably lead to high cloud service costs.

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