A Design Method and Device for Computing Grid Based on Large-Scale Container Cloud Scenario
A computing grid and design method technology, applied in the computer field, can solve problems such as hierarchical scheduling, and achieve efficient scheduling and optimized use
Active Publication Date: 2022-04-22
SUZHOU METABRAIN INTELLIGENT TECH CO LTD
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Problems solved by technology
This kind of computing generally requires the collaboration of dozens to hundreds of clusters. Considering the complex scenarios of large-scale container clouds, computing containers (such as Hadoop, Spark, and Flink) cannot be arranged according to the characteristics of discrete physical hosts at the resource layer. Hierarchical Scheduling
[0003] So how to establish resource routing and resource allocation has become a thorny issue
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[0033] Embodiments of the present disclosure are described below. It is to be understood, however, that the disclosed embodiments are merely examples and that other embodiments may take various alternative forms. The figures are not necessarily to scale; some features may be exaggerated or minimized to show details of particular components. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a representative basis for teaching one skilled in the art to variously employ the present invention. As will be understood by persons of ordinary skill in the art, various features shown and described with reference to any one figure can be combined with features shown in one or more other figures to create embodiments not explicitly shown or described . Combinations of features shown provide representative embodiments for typical applications. However, various combinations and modifications of the features consist...
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The present invention provides a computing grid design method based on large-scale container cloud scenarios, including the following steps: according to the resource characteristics of discrete physical hosts, counting the distribution of computing resources in large-scale container cloud clusters; Perform priority modeling, level modeling, resource distribution modeling and scheduling policy modeling on resources to establish a resource scheduling level routing table; and inject the resource scheduling level routing table into the computing grid. Through the method of the present invention, under the control of the computing grid, it is guaranteed that existing big data and AI applications will not be invaded, load balancing at the resource layer is performed, efficient scheduling is performed, and the use of container cloud resources by users is optimized.
Description
technical field [0001] The present invention relates to the field of computers, and more specifically, to a method and device for designing a computing grid based on a large-scale container cloud scenario. Background technique [0002] At present, in the containerization scenario, the resource layer scheduling strategy is still a relatively cutting-edge technical field, that is, the cloud + data strategy. It is conceivable that the car connected to the Internet of Vehicles will continuously report data to the data center during the process from Beijing to Shanghai to Nanjing, perform big data calculations, analyze and predict the safety and energy consumption of the car during driving. This type of computing generally requires the collaboration of dozens to hundreds of clusters. Considering the complex scenarios of large-scale container clouds, computing containers (such as Hadoop, Spark, and Flink) cannot be arranged according to the characteristics of discrete physical hos...
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IPC IPC(8): G06F9/50
CPCG06F9/5072G06F9/505
Inventor 秦凯新
Owner SUZHOU METABRAIN INTELLIGENT TECH CO LTD