Fine-grained resource response system based on load balancing algorithm of container cluster

A load balancing algorithm and container cluster technology, applied in the field of container cluster resource management, can solve problems such as inability to fine-grained access load balancing, service characteristic analysis, etc., to prevent economic losses, ensure response time, and avoid resource stranded.

Active Publication Date: 2016-08-17
SHANGHAI LANDFUN INFORMATION TECH CO LTD
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  • Abstract
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  • Claims
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However, none of these analyzes the characteristics of the servic...

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  • Fine-grained resource response system based on load balancing algorithm of container cluster
  • Fine-grained resource response system based on load balancing algorithm of container cluster
  • Fine-grained resource response system based on load balancing algorithm of container cluster

Examples

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Embodiment 1

[0027] Such as figure 1 with figure 2 As shown, this embodiment includes: a routing module, a request processing module, a data support module, an analysis decision module, a service instance selection module and a request-service instance matcher, wherein: the request of the client is sent to the request processing module through the routing module, and the request The processing module calls the data support module and the analysis and decision-making module to analyze and classify the request, and sends the classification result of the request to the request-service instance matcher; the request-service instance matcher initiates a selection request to the service instance selection module, and the service instance selection The module calls the data support module and the analysis and decision-making module to analyze and select the service instance, and sends the selection result of the service instance to the request-service instance matcher; the request-service instanc...

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Abstract

A fine-grained resource response system based on a load balancing algorithm of a container cluster comprises a request processing module, a data support module, an analysis and decision module, a service instance selection module and a request-service instance matcher, wherein the request processing module calls the data support module and the analysis and decision module to analyze and classify requests and sends a request classification result to the request-service instance matcher; the request-service instance matcher initiates a selection request to the service instance selection module, and the service instance selection module calls the data support module and the analysis and decision module for analyzing and selecting service instances and sends a service instance selection result to the request-service instance matcher; the request-service instance matcher calls the analysis and decision module to perform group matching and individual matching sequentially according to the request classification result and the service instance selection result, and issues the requests to the corresponding service instances according to a matching result, and resource response is realized. The system has a better resource utilization rate.

Description

technical field [0001] The present invention relates to a technology in the field of container cluster resource management, in particular to a fine-grained resource response system based on a container cluster load balancing algorithm. Background technique [0002] In recent years, with the development of container technology, more and more enterprises choose to use lightweight container virtualization technology instead of traditional server virtualization technology to provide cloud services. At the same time, with the development of the mobile Internet, RESTful HTTP requests are becoming more and more mainstream in current cloud services. Therefore, how to increase the number of RESTful requests processed per second under the condition of limited computing resources is an urgent problem to be solved. [0003] RESTful is a resource-centric HTTP interaction method. Resources are the most critical abstraction in RESTful, they are application objects that can be accessed re...

Claims

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Application Information

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IPC IPC(8): H04L29/08
CPCH04L67/1044H04L67/1001
Inventor 夏亦谦张坚鑫孙浩然李桐宇高策任锐蔡鸿明
Owner SHANGHAI LANDFUN INFORMATION TECH CO LTD
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