Cloud Computing Energy Saving Scheduling Implementation Method Based on QoS Feature Discovery

An implementation method, cloud computing technology, applied in computing, energy-saving computing, program control design, etc.
CN109445903BActive Publication Date: 2022-03-29SOUTH CHINA UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTH CHINA UNIV OF TECH
Publication Date
2022-03-29

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Abstract

The invention discloses a cloud computing energy-saving scheduling realization method based on QoS feature discovery. The present invention reconstructs the QoS features of the data center load log information through the stacked noise-reduction autoencoder to obtain feature vectors strongly correlated with the QoS features; Yes, screen out the host queues that are positively correlated with QoS optimization in the scheduling evaluation machine, and perform operations such as resource migration and integration in the virtual machine scheduling module, and finally connect supervised learning and other classifiers to calculate the loss function. The present invention focuses on analyzing the historical data of network traffic in the data center and the load information of each physical machine, and digs out features with a high degree of correlation with QoS indicators to perform resource migration and scheduling work, and finally guarantees the service quality of the data center and reduces its energy consumption goals.
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Description

technical field

[0001] The invention belongs to the field of cloud computing energy-saving scheduling, and in particular relates to a method for implementing cloud computing energy-saving scheduling based on QoS feature discovery. Background technique

[0002] With the increasing popularity of cloud computing technology and the surge of data-intensive services, organizations in various countries and many IT companies are promoting the construction of data centers. The establishment of data centers can better provide enterprises and the public with access to shared configurable system resource pools or even higher-level services at any time, and quickly supply them to users with minimal management costs through the Internet. Due to the surge in the number and scale of data centers, a large amount of power consumption and energy consumption have become a serious challenge for all countries. According to statistics, the current electricity consumption of data centers accounts ...

Claims

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