Sudden changed load oriented container cloud elastic supplying container number predication method and system thereof

A prediction method, container technology, applied in the computer field

Active Publication Date: 2017-11-28
GUANGXI UNIV
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  • Description
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Problems solved by technology

[0002] With the increasing complexity of the cloud service network environmen

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  • Sudden changed load oriented container cloud elastic supplying container number predication method and system thereof
  • Sudden changed load oriented container cloud elastic supplying container number predication method and system thereof
  • Sudden changed load oriented container cloud elastic supplying container number predication method and system thereof

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Embodiment Construction

[0046] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0047] In the dynamic change of the load of the cloud environment, a large number of requests make the load on the server side too heavy, resulting in a significant increase in service delay and even server downtime. In these scenarios, the service needs to be able to get a timely response. In the high-concurrency application scenarios of the container cloud, such as flash sales in e-commerce a...

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Abstract

The invention discloses a sudden changed load oriented container cloud elastic supplying container number predication method and a system thereof. The method comprises the steps of monitoring load data of a container system, calculating a load gradient of a predication point according to the load data by means of a moving average method, determining the position of a container supplying starting point according to the load gradient; at the position of the container supplying starting point, acquiring container real-time data of n services in the container system, acquiring the actual number of the container for aiming at the containers which correspond with n services on a host machine I, and using the actual number data of the containers as an original sequence; accumulating the original sequence for obtaining a new generated sequence; and calculating a container sequence predication value according to the original sequence and the generated sequence. According to the method of the invention, the container supplying time point and the container supplying number are predicated according to the current system load, thereby predicating the container resource in advance, effectively handling an emergent load, and reducing influence of resource adjustment to service response.

Description

technical field [0001] The invention belongs to the field of computer technology, and more specifically relates to a method and system for predicting the number of containers in the elastic supply of container clouds for sudden loads. Background technique [0002] With the increasing complexity of the cloud service network environment, the request load faced by the system has greater suddenness and uncertainty. In order to solve the problem of elastic control of cloud resources in sudden load scenarios, it is necessary to reasonably schedule and expand cloud resources to meet users' regular and sudden demands on system resources. Existing virtual machine cluster management strategies need to effectively respond to the service response speed requirements in this sudden scenario. The sudden load scenario requires high performance of the application carrier, and the container technology is better adapted to this requirement. The container technology represented by the containe...

Claims

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Application Information

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IPC IPC(8): H04L12/24
CPCH04L41/142H04L41/145H04L41/147
Inventor 陈宁江闫承鑫杨尚林
Owner GUANGXI UNIV
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