Container arrangement method and system for CPU heterogeneous cluster in cloud edge environment and medium
A heterogeneous cluster and CPU resource technology, applied in the computer field, can solve problems such as extensive CPU resource allocation, target CPU architecture and performance cannot be determined in advance, and insufficient multi-architecture mirror image deployment capabilities, so as to improve container deployment efficiency and priority Accurate, the effect of improving dispatching efficiency
Pending Publication Date: 2021-05-25
NAT UNIV OF DEFENSE TECH
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Benefits of technology
This patented technology solves problems related to Multi-Architecture Container (MAC) mirrored data from Cloud Computers without any significant changes or improvements over their original design. By analyzing these modifications, it suggests converting certain aspects into an executable form called XAML files instead of storing them separately at each step during execution time. These modified versions may have better processing power than previous versions but they still require some memory space compared to older models due to their larger size. To address this issue, there also describes a method where the server analyzes its own hardware resources usage based upon factors like processor speed and RAM capacity. Based on those analysis values, the system automatically adjusts how many servers should receive input/output requests per unit of work hours while ensuring efficient allocation across all possible configurations within one computer network. Overall, this innovation helps optimize computing environments and enhance overall management efforts.
Problems solved by technology
This patents discusses various technical problem addressed by current solutions like Cloud Compute Hub Platform LXC® and Xbox Express™ platforms. These technologies provide flexibility but lack efficient execution of container configurations due to limitations associated with hardware components and software interfaces. Additionally, existing techniques require human intervention during configuration process leading to inconvenience for operators who want to apply new functionality without reconfiguration being done.
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[0039] In order to make the purpose, technical solution and advantages of the present invention clearer, the container orchestration method, system and medium for CPU heterogeneous clusters in the cloud edge environment of the present invention will be described below by taking the Kubernetes container orchestration system as an example, in conjunction with the accompanying drawings and embodiments For further details. It should be noted that the container orchestration method, system and medium for CPU heterogeneous clusters in the cloud edge environment of the present invention do not depend on the Kubernetes container orchestration system, and can also be applied to other container orchestration systems.
[0040] like figure 1 and figure 2 As shown, the container orchestration method for CPU heterogeneous clusters in the cloud-edge environment of this embodiment includes:
[0041] 1) For the scheduled container unit, filter the cluster nodes according to the CPU architectur
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The invention discloses a container arrangement method and system for a CPU heterogeneous cluster in a cloud edge environment and a medium, and the method comprises the steps of screening cluster nodes according to a CPU architecture supported by a container for a scheduled container unit, and carrying out the sorting according to the CPU performance of the cluster nodes; based on the sorted cluster nodes, performing a scheduling process irrelevant to a CPU architecture, and determining a corresponding target node; updating a container mirror name in the configuration of the scheduled container unit according to the CPU architecture of the target node, and updating the CPU resource configuration in the configuration of the scheduled container unit according to the CPU performance of the target node; and performing node binding on the scheduled container unit and the target node. According to the invention, the container mirror image matched with the node CPU architecture can be correctly pulled in the deployment process of the deployment container, the same container has similar performance when being deployed on different nodes, and the node CPU architecture and the transparent performance are realized when the container is deployed under a heterogeneous cluster.
Description
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