OpenStack-based computational resource capacity elasticity telescoping method and system

Abstract

The invention provides an OpenStack-based computational resource capacity elasticity telescoping method and system. The method involves capacity expanding and capacity reducing and includes the following steps: 1) capacity expanding: namely a step of 1-1) making a computational node mirror template and a switch network configuration template; 1-2) determining a number of hosts and network segmentsto be expanded, determining management IPs and host names of the hosts, restoring the hosts in batches to a computational node operating system with different management IPs and host names accordingto computational node mirror template, and automatically modifying a configuration file; and 1-3) uploading the switch network configuration template to a switch of a restored computational node, andloading to make computational nodes communicate with network and join OpenStack computational resources; and 2) capacity reducing: namely a step of 2-1) determining computational nodes to be removed,transferring or releasing virtual machines on the computational nodes, and clearing configuration information corresponding to switch ports; and 2-2) removing basic information and computing related services of the processed computational nodes from an OpenStack cloud platform.

Description

technical field [0001] The present invention relates to the technical field of cloud computing, in particular to an OpenStack-based method and system for elastic scaling of computing resource capacity. Background technique [0002] With the rapid development of cloud computing technology, governments of various countries have paid more and more attention to the cloud computing service industry, and have taken cloud computing services as new opportunities for the rapid development of the national software industry. Cloud computing services have become one of my country's national development strategies. It has brought new impetus to China's economic engine, and at the same time, it has also brought new challenges. As an emerging resource utilization platform, the cloud computing platform has formed a relatively mature service model, and more users can share and use resources. [0003] OpenStack is currently one of the most popular cloud computing platforms. It can integrate ...

AI Technical Summary

Problems solved by technology

OpenStack supports elastic expansion of computing resources. At present, the commonly used expansion methods are automatic deployment and manual deployment. Both methods need to install the host operating system, download software packages, and configure related services, which are time-consuming and efficient. Low; at the same time, faced with the problem that the required software package upgrade caused the low version to fail to download successfully

OpenStack currently does not have a standardized fast scaling function. When computing resources are elastically scaled down, the removed computing node information in the cloud platform cannot be automatically cleared. Error information will interfere with the normal application and operation of virtual machines, and even affect the OpenStack cloud platform. stability

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