Resource allocation method, device and system
A resource allocation device and technology for resource allocation, applied in the fields of devices, systems, and resource allocation methods, can solve problems such as increased cost, waste of resources, and difficulty in meeting the needs of service operation, so as to reduce costs, reduce waste of resources, and improve the possibility of Effects of Stability and Reliability
Active Publication Date: 2022-07-08
NEW H3C BIG DATA TECH CO LTD
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Problems solved by technology
[0004] However, since the resources occupied by services during operation are not fixed, when resources are allocated to services through existing technologies, it may lead to waste of resources or difficulty in meeting the needs of service operations, thereby increasing costs and reducing service costs. Stability and reliability of operation
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[0032] The technical solutions in the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the present disclosure. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, but not all of the embodiments. The components of the present disclosure generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations. Therefore, the following detailed description of the present disclosure provided in the accompanying drawings is not intended to limit the scope of the disclosure as claimed, but merely to represent selected embodiments of the disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present disclosure.
[0033] Before explaining the present disclosure in detail, the application scena...
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The present disclosure provides a resource allocation method, device and system, which relate to the technical field of big data. The method is applied to a big data cluster. The big data cluster includes a master node and a plurality of slave nodes, including: the master node obtains at least one resource configuration group information, and the resource configuration group information includes: each service deployed in the big data cluster occupies The proportion of resources and the triggering conditions of resource configuration information; the master node parses the resource configuration group information to generate a resource configuration message and sends it to each slave node; the resource configuration message includes the configuration data of the resources occupied by each service; the slave node receives the resource configuration message , when the trigger condition is met, a configuration file of the resource occupied by the service is generated according to the configuration data of the resource occupied by the service in the resource configuration message; the slave node allocates the resource to the service according to the configuration file. The present disclosure can reduce resource waste of big data clusters and improve the stability and reliability of service operation.
Description
technical field [0001] The present disclosure relates to the field of big data technologies, and in particular, to a resource allocation method, device, and system. Background technique [0002] With the development of the Internet and the growing demand for big data processing, the application of big data clusters is also increasingly widespread. A big data cluster can be deployed with multiple services, and the multiple services can run on nodes included in the big data cluster. Since the service needs to occupy the resources in the big data cluster when it is running, it is necessary to allocate resources for the service. [0003] In the prior art, a big data cluster includes multiple nodes, including a master node and multiple slave nodes. When the service is started, the master node controls that each node can allocate fixed resources to the service. [0004] However, since the resources occupied by the service during the running process are not fixed, when resources...
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IPC IPC(8): H04L41/0803H04L67/30
CPCH04L41/0803H04L67/30
Inventor 谷宁波户蕾蕾
Owner NEW H3C BIG DATA TECH CO LTD