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Physical machine fault classification processing method, device and virtual machine recovery method and system

A technology of fault classification and processing methods, applied in the field of communication, can solve the problems of fine division of physical machine faults and the inability to achieve high availability of virtual machines, etc., achieve high reliability of physical machine fault repair processing, ensure effectiveness, and reduce misjudgments and leaks Judgmental effect

Active Publication Date: 2020-08-25
ALIBABA CLOUD COMPUTING LTD
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] However, physical machine failures are usually caused by different reasons, and there are many phenomena of physical machine failures. However, the existing technology does not finely classify physical machine failures, and does not classify them in a targeted manner. Therefore, in actual commercial use, there will be more misjudgments and missed judgments, so that it is impossible to achieve high availability (High Availability, HA) of the virtual machine on the physical machine after the failure

Method used

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  • Physical machine fault classification processing method, device and virtual machine recovery method and system
  • Physical machine fault classification processing method, device and virtual machine recovery method and system
  • Physical machine fault classification processing method, device and virtual machine recovery method and system

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Embodiment 1

[0081] refer to figure 1 , which shows a flow chart of the steps of an embodiment of a cluster physical machine fault classification processing method of the present application. The physical machine fault classification processing method can be applied to a virtualized cluster system, and may specifically include the following steps:

[0082] Step 210, obtaining a physical machine fault information list from the physical machine fault information storage center;

[0083] It should be noted that the list of physical machine failure information includes: the physical machine failure information detected by the physical machine failure detection module outside the cluster from the failed physical machine and reported to the physical machine failure information storage center, and Physical machine fault information collected from a faulty physical machine by a physical machine fault collection module outside the cluster and reported to the physical machine fault information stora...

Embodiment 2

[0093] refer to figure 2 , which shows a flow chart of the steps of another embodiment of the cluster physical machine fault classification processing method of the present application, which may specifically include the following steps:

[0094] Step 210, obtaining a physical machine fault information list from the physical machine fault information storage center;

[0095] It should be noted that the list of physical machine failure information includes: the physical machine failure information detected by the physical machine failure detection module outside the cluster from the failed physical machine and reported to the physical machine failure information storage center, and Physical machine fault information collected from a faulty physical machine by a physical machine fault collection module outside the cluster and reported to the physical machine fault information storage center.

[0096] Step 220, if it is detected in the physical machine failure information list ...

Embodiment 3

[0117] refer to image 3 , which shows a schematic diagram of an embodiment of a virtual machine recovery method of the present application, which may specifically include the following steps:

[0118] Step 310, the physical machines in the virtualized cluster system autonomously detect their own failure dynamics;

[0119] Preferably, each physical machine can autonomously detect its own fault dynamics periodically at fixed time intervals, for example, autonomously detect once every 30 seconds.

[0120] Step 320, if a software and hardware failure that can be repaired by the physical machine itself is detected autonomously, it is repaired in a fault-tolerant manner;

[0121] It can be understood that the software and hardware failures that can be repaired by the physical machine itself in the embodiments of the present application may include: failures of disks storing data, abnormalities of kernel modules related to virtualization, abnormalities of file systems storing data,...

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Abstract

A clustered physical machine failure classification handling method and device, and virtual machine recovery method and system. The physical machine failure classification handling method comprises: obtaining a physical machine failure information list from a physical machine failure information storage center (110); if a physical machine failure caused by a network attack is detected in the physical machine failure information list, triggering an attack prevention and protection security center outside a cluster for handling (120); if a software / hardware failure that cannot be fixed by a physical machine is detected in the physical machine failure information list, sending a failed physical machine turn-off instruction to the failed physical machine; and migrating the virtual machine on the failed physical machine to another healthy physical machine in the clustered system by means of a virtualized interface (130). By refined, quick and accurate recognition of failures in multiple physical machine failure scenes and targeted classification handling, the method implements quick and highly-reliable physical machine failure recovery, thereby ensuring quick recovery of virtual machine services on the physical machines.

Description

technical field [0001] The present application relates to the field of communication technology, and in particular to a physical machine fault classification processing method and device applied to a virtualized cluster system, and a virtual machine recovery method and system. Background technique [0002] With the rapid development of computer technology, people began to pay more and more attention to how to reduce energy consumption and improve resource utilization, and the cloud computing model came into being. Cloud computing abstracts all computers into specific computing resources, and then provides these computing resources to users, instead of directly providing one or more computers as traditionally. The biggest advantage of the cloud computing model is that users can apply for resources according to their own needs, avoid unnecessary waste of resources, and improve resource utilization. [0003] In the cloud computing environment, virtual cluster technology is one...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/07G06F11/14
CPCG06F11/0709G06F11/1484G06F11/07
Inventor 张文
Owner ALIBABA CLOUD COMPUTING LTD
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