Cloud computing cluster mixing job scheduling method and device, server and storage device

A job scheduling and cloud computing technology, applied in the field of cloud computing, can solve problems such as server cluster performance degradation, achieve the effect of improving overall resource utilization and avoiding performance degradation

Active Publication Date: 2020-03-24
SHENZHEN INST OF ADVANCED TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] This application provides a cloud computing cluster mixed job scheduling method, device, server and storage device to solve th

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  • Cloud computing cluster mixing job scheduling method and device, server and storage device
  • Cloud computing cluster mixing job scheduling method and device, server and storage device
  • Cloud computing cluster mixing job scheduling method and device, server and storage device

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Embodiment Construction

[0053] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0054]The terms "first", "second", and "third" in this application are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, features defined as "first", "second", and "third" may explicitly or implicitly include at least one of these features. In the description of the present application, "plurality" means at least tw...

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Abstract

The invention discloses a cloud computing cluster hybrid job scheduling method and device, a server and a storage device, and the method comprises: analyzing the historical operation log data of a plurality of types of loads obtained in advance, and determining the maximum resource value needed during the operation of each load type; simulating and deploying multiple load types to a server in a mixed manner based on the maximum resource value, and obtaining the occurrence frequency of a hardware event in each mixed deployment mode; calculating a recommendation score of each hybrid deployment mode based on the occurrence frequency of the hardware event; when a job scheduling request is received, confirming required resources meeting the job scheduling request; screening out a server list conforming to the required resources, and determining a target hybrid deployment mode with the highest recommendation score from the server list; and performing system scheduling on the job scheduling request according to the target hybrid deployment mode. The job scheduling request is subjected to double-layer hybrid deployment on the resource level and the hardware event level, so that the overallresource utilization rate of the cloud server is improved.

Description

technical field [0001] The present application relates to the technical field of cloud computing, and in particular to a method, device, server, and storage device for scheduling mixed jobs of cloud computing clusters. Background technique [0002] Cloud computing services are widely used in data center service platforms because of their high scalability, on-demand services, and extremely cheap features. More and more enterprises and individuals choose to use cloud computing platforms to run applications. As the types of services in cloud clusters become more and more diverse, the requirements for job scheduling are also getting higher and higher. In order to improve the overall resource utilization of cloud computing clusters, relevant personnel in cloud data centers have begun to pay more attention to the mixed utilization of physical hosts. [0003] At present, there are two main aspects to improve the resource utilization of cloud computing clusters. The first is load ...

Claims

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Application Information

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IPC IPC(8): G06F9/50G06F8/60
CPCG06F9/5083G06F8/60Y02D10/00
Inventor 叶可江陈文艳须成忠
Owner SHENZHEN INST OF ADVANCED TECH
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