Virtualized container service elastic scaling method oriented to data center load monitoring

A virtualized container and central load technology, applied in the field of computer science, can solve problems such as single-point bottleneck of cluster node resource utilization, unbalanced cluster resource load, cluster node load imbalance, etc., to achieve the effect of improving cluster resource utilization

Inactive Publication Date: 2018-12-21
BEIHANG UNIV
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Problems solved by technology

[0004] Cluster node load imbalance: The traditional load-triggered random scheduling scaling method does not consider the status of nodes in the cluster and resource dist

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  • Virtualized container service elastic scaling method oriented to data center load monitoring
  • Virtualized container service elastic scaling method oriented to data center load monitoring
  • Virtualized container service elastic scaling method oriented to data center load monitoring

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[0048] In order to make the purpose, technical solutions and advantages of the present invention more clearly, the present invention will be described in detail below in conjunction with the accompanying drawings and specific implementation steps, but it is not intended to limit the present invention.

[0049]A virtualized container service elastic scaling method for data center load monitoring. In the cloud platform cluster, first obtain the real-time load of the container service through the load monitoring service, and judge whether to trigger the container service according to the relationship between the load and the upper and lower bounds of the set threshold After detecting that the container load pressure exceeds the upper bound of the threshold, the expansion of Container Service is triggered. By using multiple algorithms to score different nodes in the cluster, the best suitable node for performing elastic scaling is obtained. Start a new container on the configuratio...

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Abstract

The invention provides a virtualized container service elastic scaling method oriented to data center load monitoring. Within the cloud platform cluster, at first, the real-time load of the containerservice is obtained through the load monitor service, and according to the load and the relationship of the upper bound and the lower bound of the set threshold, whether the elastic scaling of the container service is triggered is determined, after detecting that the container load pressure exceeds the upper limit of the threshold, container service expansion is triggered. By synthetically scoringdifferent nodes in the cluster with various algorithms, the best adapter node for elastic expansion and contraction is obtained, and finally a new container is started on the adapter node to completethe container service expansion. As the load pressure of the container is detected to be low than the lower threshold limit, the container service shrinkage is triggered, and elastic expansion and contraction of the container service are completed by removing the corresponding container on the node marked in the expansion phase. The method can realize the elastic expansion of cluster inner container service on the premise of keeping the load balance of cluster resources.

Description

technical field [0001] The invention relates to resource scheduling of cloud platform clusters, in particular to a virtualized container service elastic scaling method for data center load monitoring, which belongs to the field of computer science and technology. Background technique [0002] As a product of the development and fusion of traditional computer and network technologies such as distributed computing, virtualization, grid computing, and network storage, cloud computing has become one of the most influential changes in global information technology. , also profoundly influenced and changed people's way of life. Cloud computing is a computing method that shares software and hardware resources and information through the Internet. It provides IT-related capabilities to users in the form of services, so that users do not understand the technology that provides services, have no relevant knowledge and equipment operating capabilities. It realizes fast and on-demand u...

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Application Information

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IPC IPC(8): H04L29/08
CPCH04L67/1001
Inventor 肖利民殷成涛丁树勋李昂鸿
Owner BEIHANG UNIV
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