Network resource allocation scheduling method and device

Abstract

The invention discloses a network resource allocation scheduling method and a device. The method comprises the following steps: predicting a predicted value of a task arrival based on a preset predicting algorithm; redeploying network resources accordingly according to the predicted values so as to have sufficient processing resources when the task load peak of future tasks arrives; when the arrival prediction time of the future task is reached, readjusting the parameters of the task classifier and the prediction algorithm based on the difference between the actual number of received tasks andthe arrival prediction number of the future task. According to the method and device of the present invention, the moving average forecasting method under normal condition is combined with the trendextrapolation forecasting method under sudden condition, effective workflow bursts in resource deployment can be adapted by detecting emergencies in a timely manner and providing flexible and adaptiveresource reservation strategies to maximize resource utilization and improve resource assurance rates for normal and burst workloads.

Description

technical field [0001] The present invention relates to the technical field of cloud computing, in particular to a method and device for configuring and scheduling network resources. Background technique [0002] Cloud computing has become one of the hottest topics in computer science in recent decades. With the advancement of virtualization, cloud computing now allows on-demand network access to shared pools of configurable computing resources, thereby rapidly providing these to customers on the Internet. As a new form of service no longer limited to traditional Infrastructure as a Service (IaaS), Platform as a Service (PaaS) or Software as a Service (SaaS), Data as a Service (DaaS), Analysis as a Service (AaaS), etc. . In modern computing clouds, workload bursts are increasingly frequent and unpredictable. For example, when a celebrity tweets out a surprise or some online retailer offers a discount at some point, it can create a sudden workload for the associated website...

AI Technical Summary

Problems solved by technology

If computing resources are not reconfigured properly and in a timely manner, websites or applications may crash, causing user dissatisfaction or even financial loss, which is not desired by cloud providers or clients and customers

Typically, cloud providers seek help strategies to deploy excessive resources in the face of sudden workload spikes, but at the expense of overhead costs for customers and sacrificing unnecessary resources

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