KR101636796B1 - Virtual Infra Obstacle Managing System and Method therefor - Google Patents

Abstract

The present invention relates to a virtual infrastructure obstacle managing system and a method thereof. More specifically, the present invention relates to a virtual infrastructure obstacle managing system and a method thereof, in a virtual infrastructure composed of heterogeneous hypervisor and a virtual desktop (VDI) environment, which collect configuration and performance of a heterogeneous virtual infrastructure, lesion data therein, predict malfunctions in the virtual infrastructure, analyze a bottleneck section, and visualize a malfunction prediction result and a section analysis result, thereby predicting the malfunctions of the virtual infrastructure in advance and rapidly supporting accurate diagnosis and recovery, enabling prediction in malfunction in various virtual infrastructures and analysis on the bottleneck section, and also enabling a manager to easily figure out results on the malfunction prediction and the bottleneck section analysis.

Description

Technical Field [0001] The present invention relates to a virtual infrastructure fault management system,

The present invention relates to a virtual infrastructure fault management system and method, and more particularly, to a system and method for managing a virtual infrastructure fault in a virtual infrastructure consisting of a virtual hypervisor and a virtual desktop environment It collects data, predicts failures in virtual infrastructure, analyzes bottleneck sections, and visualizes failure prediction results and bottleneck section analysis results. By providing predictions of failures in virtual infrastructures, it supports rapid and accurate diagnosis and recovery. The present invention relates to a virtual infrastructure fault management system and method that enables a failure prediction and a bottleneck section analysis in a virtual infrastructure and enables an administrator to easily grasp a failure prediction and a bottleneck section analysis result.

The virtual infrastructure consists of this type of hypervisor or virtual desktop (VDI) environment. It is the next generation data center. In this virtual infrastructure, it needs analysis of bottleneck area,

In this case, a fault management framework is required, and there is a problem of collecting fault information in this type of virtual infrastructure, identifying the cause of the fault through complex event analysis, and restoring the fault.

Conventionally, after the occurrence of a failure, follow-up action has been performed to collect the fault information, to identify the cause of the fault occurrence, to repair the fault, and the technology for supporting the fault prediction through the advance prediction has not been developed.

Conventionally, there has not been developed a technology for collecting fault information or analyzing a bottleneck section while integrally managing this type of virtual infrastructure by a fault management framework. Accordingly, an administrator can not only deal with specific virtual infrastructures To restore the fault.

As a conventional technology related to identification and recovery of an obstacle in the IT infrastructure, Korean Unexamined Patent Publication No. 10-2004-0035572 'Integrated Infringement Response System and its Operation Method in Information Infrastructure' Technology, but these techniques are not intended for a virtual infrastructure, nor are they intended for this type of virtual infrastructure, nor are they technologies for predicting a failure or supporting bottleneck section analysis.

SUMMARY OF THE INVENTION The present invention has been made to overcome the above-mentioned problems, and it is an object of the present invention to provide a system and method for collecting configuration, performance, and failure data of a virtual infrastructure of a virtual infrastructure configured with the model hypervisor and a virtual desktop It predicts failures in the infrastructure, analyzes bottleneck sections, visualizes failure prediction results and bottleneck section analysis results, predicts failures in the virtual infrastructure, and supports rapid and accurate diagnosis and recovery. Prediction and bottleneck analysis, and enables the administrator to easily identify the failure prediction and bottleneck analysis results.

The present invention relates to a virtual infrastructure fault management system, which collects configuration, performance and fault data of a virtual infrastructure, predicts faults in the virtual infrastructure, analyzes bottleneck sections, visualizes fault prediction results and bottleneck section analysis results A central server provided to the administrator terminal; A virtual infrastructure including a VDI layer, a VM layer, a hypervisor layer, and a network and storage as an infrastructure for failure prediction and bottleneck section analysis of the central server; And an administrator terminal that receives data visualization information of a failure prediction and a bottleneck section analysis result on the virtual infrastructure from the central server, wherein the configuration, performance, and failure data of the virtual infrastructure collected by the central server include: Performance, fault data, the VM layer configuration, performance and fault data, the hypervisor layer configuration, performance and fault data, the virtual infrastructure network configuration, performance and fault data, the virtual infrastructure storage configuration, Performance, and failure data. The VDI environment includes a Citrix XenDesktop and a VMware View environment. The hypervisor environment includes XEN, KVM, RHEV, VMware vSphere, and Microsoft Hyper-V environments, IBM PowerVM, and HP VM environments, The central server includes statistical analysis of configuration, performance, and failure data of the collected virtual infrastructure, analysis of rule processing for a specific event, A failure prediction analysis based on a statistical analysis and a rule processing analysis, and a function for performing a self diagnosis analysis for a failure prevention based on a failover type.

At this time, the VDI layer configuration, performance, and failure data collected by the central server include data defining configuration, performance, and failure data for each node constituting the VDI service, association information between the nodes, Performance, and failure data collected by the central server include data defining configuration, performance, and failure data for the VM, association information between the VM and the hypervisor, and data related to the VM Performance, and failure data for the hypervisor, and the hypervisor layer configuration, performance, and failure data collected by the central server include configuration, performance, and failure data for the virtual infrastructure type, , Performance and fault data for networks and storage that are associated with the hypervisor, and the central server The virtual infrastructure network configuration, performance, and failure data to be collected may include configuration, performance, and failure data for a virtual network constituting a virtual infrastructure, hypervisor data connected to the virtual network, performance for a hypervisor having association with the virtual network, The virtual infrastructure storage configuration, performance, and failure data collected by the central server include configuration, performance, and failure data for the virtual storage constituting the virtual infrastructure, Hypervisor data linked to the virtual storage, Performance, fault data for hypervisors that are relevant to storage.

In this case, the central server visualizes plug-in data visualization in visualizing the failure prediction result and the bottleneck section analysis result of the virtual infrastructure, and the plug-in data visualization includes a gadget-based dashboard configuration, Configuration, installation of visualization components, and collection of mapping relationships between virtual infrastructures.

According to another aspect of the present invention, there is provided a virtual infrastructure fault management method comprising the steps of: (A) collecting configuration, performance and fault data of a virtual infrastructure from a virtual infrastructure; (B) performing the bottleneck section analysis by predicting a failure in the virtual infrastructure by the central server; And (C) the central server performs data visualization of the failure prediction of the virtual infrastructure and the analysis result of the bottleneck section to provide the data visualization result to the administrator terminal. In the step (A) The configuration, performance, and failure data of the virtual infrastructure collected by the central server includes VDI layer configuration, performance and fault data, VM layer configuration, performance, fault data, hypervisor layer configuration, performance, fault data, Performance, fault data, and the virtual infrastructure storage configuration, performance, and fault data. In the step (A), the central server analyzes the configuration, performance, and fault data of the virtual infrastructure Supported VDI environments include Citrix XenDesktop, and VMware View environments. Hypervisor environments include XEN, KVM, RHEV, VMware vSphere, and Microsoft Hyper-V environments , An IBM PowerVM, and an HP VM environment, wherein the virtual infrastructure storage includes an RDBMS (relational database) DB and a NoSQL DB, and the step (B) Performing statistical analysis on the configuration, performance, and failure data of the infrastructure, performing the rule processing analysis on various events of the central server, and analyzing the rule processing on the basis of the statistical analysis and rule processing analysis Wherein the central server performs a self-diagnostic analysis for a failure precaution based on a failover type.

In step (A), the VDI layer configuration, performance, and failure data collected by the central server include data defining configuration, performance, fault data, and association information between nodes configuring the VDI service, Performance and failure data collected by the central server in the step (A), the configuration, performance, and failure data of the VM, and the association between the VM and the hypervisor Performance data and failure data for a hypervisor having an association with a VM, wherein the hypervisor layer configuration, performance, and fault data collected by the central server in the step (A) Data that defines configuration, performance, and fault data, association information between the hypervisor and the network and storage, and network and storage associations with the Hypervisor. Performance, and failure data, and the virtual infrastructure network configuration, performance, and failure data collected by the central server in the step (A) includes configuration, performance, and failure data for a virtual network constituting a virtual infrastructure, The virtual infrastructure storage configuration, performance, and failure data collected by the central server in the step (A) may include at least one of virtual Performance, fault data for the virtual storage that constitutes the infrastructure, Hypervisor data linked to the virtual storage, and performance and fault data for the hypervisor having associations with the virtual storage.

In this case, the step (C) includes a step of the plug-in-type data visualization by the central server, and the step of performing plug-in-type data visualization includes a gadget-based dashboard configuration step, a data visualization component configuration step, A component installation step, and a mapping relationship between virtual infrastructure structures.

According to the present invention, the configuration, performance, and failure data of the model virtual infrastructure are collected in the virtual infrastructure configured by the model hypervisor and the virtual desktop (VDI) environment, the failure in the virtual infrastructure is predicted, By providing visualization of failure prediction results and bottleneck analysis results, it is possible to predict rapidly and precisely the failure of the virtual infrastructure, to enable quick and accurate diagnosis and recovery, to enable prediction of failures and bottleneck analysis in various virtual infrastructures, Prediction and bottleneck section analysis results can be easily grasped.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a general configuration diagram of a virtual infrastructure fault management system according to a preferred embodiment of the present invention; FIG.
BACKGROUND OF THE INVENTION 1. Field of the Invention [0002] The present invention relates to a virtual infrastructure fault management system.
3 is a reference diagram for explaining a virtual infrastructure fault management framework according to a preferred embodiment of the present invention;
4 is a reference diagram for explaining data collection of an information collecting means according to a preferred embodiment of the present invention.
5 is a reference diagram for explaining failure prediction and bottleneck section analysis of a failure prediction unit according to a preferred embodiment of the present invention.
6 is a reference diagram for explaining data visualization of information providing means according to a preferred embodiment of the present invention.
FIG. 7 is an overall flowchart of a virtual infrastructure fault management method according to a preferred embodiment of the present invention. FIG.

Before describing the specific details for the practice of the invention, terms and words used in the specification and claims should be construed to enable the inventor to properly define the concept of a term in order to best describe its invention It should be interpreted as meaning and concept consistent with the technical idea of the present invention.

It is to be noted that the detailed description of known functions and constructions related to the present invention is omitted when it is determined that the gist of the present invention may be unnecessarily blurred.

Hereinafter, a virtual infrastructure fault management system according to a preferred embodiment of the present invention will be described in detail with reference to FIGS. 1 to 6. FIG.

FIG. 1 is a general configuration diagram of a virtual infrastructure fault management system according to a preferred embodiment of the present invention, FIG. 2 is a reference diagram for explaining a virtual infrastructure fault management system according to a preferred embodiment of the present invention, FIG. 4 is a reference diagram for explaining data collection of the information collecting means according to the preferred embodiment of the present invention, and FIG. 5 is a view for explaining the data collection of the information collecting means according to the preferred embodiment of the present invention. 6 is a reference diagram for explaining data visualization of the information providing means according to the preferred embodiment of the present invention. FIG. 6 is a view for explaining data visualization of the information providing means according to the preferred embodiment of the present invention .

The virtual infrastructure fault management system according to the preferred embodiment of the present invention comprises a central server 100, a virtual infrastructure 200, and an administrator terminal 300.

The central server 100 is a server for providing a virtual infrastructure fault management service according to a preferred embodiment of the present invention. The central server 100 collects configuration, performance, and fault data of the type virtual infrastructure, predicts faults in the virtual infrastructure, And provides visualization of failure prediction results and bottleneck section analysis results.

The central server 100 may include a security server, a management server, an authentication server, a virtualization management console, and the like. Information exchange with the virtual infrastructure 200 and exchange of information with the administrator terminal 300, As shown in FIG.

The central server 100 includes an information collecting unit 110, a failure predicting unit 120, and an information providing unit 130.

The information collection means 110 collects the configuration, performance and fault data of the virtual infrastructure 200 from the virtual infrastructure 200. The structure of the virtual infrastructure 200 may vary, Can support the failure prediction and bottleneck segment analysis.

The configuration, performance, and fault data of the virtual infrastructure 200 may include configuration, performance, fault data, VM layer 220 configuration, performance, fault data, hypervisor layer 230 configuration, Data, virtual infrastructure 200 network configuration, performance, fault data, virtual infrastructure 200 storage configuration, performance, and fault data.

More specifically, the configuration, performance, and failure data of the VDI layer 210 include data defining configuration, performance, and failure data for each node constituting the VDI service, association information between nodes, performance of each section, This can be.

The VM layer 220 configuration, performance, and failure data includes data defining configuration, performance, and failure data for the VM, association information between the VM and the hypervisor, performance and failure data for the hypervisor having a relationship with the VM Can be.

The Hypervisor Layer (230) configuration, performance, and fault data is composed of configuration, performance, and fault data for the hypervisor by type of virtual infrastructure, data defining the association between the hypervisor and the network and storage, Performance, fault data, and the like.

Performance, and failure data for the virtual network constituting the virtual infrastructure, the hypervisor data connected to the virtual network, the performance for the hypervisor having the association with the virtual network, Fault data, and the like.

Virtual infrastructure (200) The storage configuration, performance, and failure data is composed of configuration, performance, and failure data for the virtual storage that constitutes the virtual infrastructure, Hypervisor data connected to the virtual storage, Fault data, and the like.

The VDI environment supported by the information collecting means 110 is various types of environments, and supports two or more of these types of VDI environments such as Citrix XenDesktop and VMware View.

The Hypervisor environment supported by the information gathering means 110 is a variety of heterogeneous environments including three or more x86 virtual infrastructures such as XEN, KVM, RHEV, VMware vSphere, and Microsoft Hyper-V, Supports two or more infrastructure.

The virtual infrastructure storage supported by the information collecting means 110 is a variety of model databases, and supports two or more databases such as an RDBMS (relational database) DB and a NoSQL DB. Generally, the general cloud control software uses RDBMS and the big data software uses NoSQL. According to the present invention, data can be processed by merging them.

In addition, the failure prediction unit 120 predicts a failure in the virtual infrastructure 200 and performs a bottleneck section analysis.

Specifically, the failure predicting means 120 is configured to analyze the configuration, performance, and fault data of the collected virtual infrastructure 200, rule processing analysis for various events, statistical analysis, and rule processing analysis Performs self-diagnostic analysis for failure prediction analysis and failure prevention based on failover type.

It is preferable that the analysis algorithm supported by the failure predicting means 120 is four or more different types.

The information providing unit 130 provides the failure prediction and the bottleneck section analysis results to the administrator terminal 300.

Specifically, the information providing unit 130 performs data visualization on the failure prediction and bottleneck section analysis results, and provides the data visualization execution result to the administrator terminal 300. The data visualization is, for example, a plug- Method, a plug-in analysis wizard method, an HTML5-based responsive web client method, and the number of data visualization components is preferably 10 or more.

More specifically, plug-in data visualization during data visualization of the information providing means 130 performs a gadget-based dashboard configuration, a data visualization component configuration, a visualization component installation, and a mapping relationship between virtual infrastructure structures.

Next, the virtual infrastructure 200 is an infrastructure to be subjected to the fault management according to the preferred embodiment of the present invention. When the detailed components are classified based on the information collection object in the central server 100, the VDI layer 210, A VM layer 220, a hypervisor layer 230, and the like, and includes a specific network and storage.

Meanwhile, the administrator terminal 300 receives the failure prediction and bottleneck section analysis results from the central server 100, and preferably provides the data visualization results of the failure prediction and bottleneck section analysis results.

According to the present invention, failure prediction and bottleneck analysis of a virtual infrastructure is possible, and two or more types of virtual desktops (VDI) are supported, and failure prediction and bottleneck analysis including x86 virtual infrastructure and Unix virtual infrastructure Various algorithms are used for analysis, and large-capacity data processing suitable for the structural characteristics of the model virtual infrastructure is performed.

Hereinafter, a virtual infrastructure fault management method according to a preferred embodiment of the present invention will be described in detail with reference to FIG.

FIG. 7 is an overall flowchart of a virtual infrastructure fault management method according to a preferred embodiment of the present invention.

7, the information collection unit 110 of the central server 100 collects configuration, performance, and failure data of the virtual infrastructure 200 from the virtual infrastructure 200 (S10).

In step S10, the configuration, performance, and failure data of the virtual infrastructure 200 include the VDI layer 210 configuration, performance, fault data, VM layer 220 configuration, performance, fault data, Performance, fault data, virtual infrastructure 200 network configuration, performance, fault data, virtual infrastructure 200 storage configuration, performance, and fault data.

Next, the failure prediction unit 120 of the central server 100 predicts a failure in the virtual infrastructure 200 and performs a bottleneck section analysis (S20).

In step S20, the failure prediction unit 120 of the central server 100 performs a statistical analysis on the configuration, performance, and failure data of the collected virtual infrastructure 200, and performs a rule processing analysis on various events Performing a failure prediction analysis based on statistical analysis and rule processing analysis, and performing a self-diagnosis analysis for a failure prevention based on the failover type.

The information providing unit 130 of the central server 100 provides the failure prediction and bottleneck section analysis results to the administrator terminal 300 and performs data visualization on the failure prediction and bottleneck section analysis results to perform data visualization And provides the result to the administrator terminal 300 (S30).

In step S30, the central server 100 performs plug-in data visualization. The plug-in data visualization step includes a gadget-based dashboard configuration step, a data visualization component configuration step, a visualization component installation step , And a virtual infrastructure mapping relationship.

While the present invention has been particularly shown and described with reference to preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. It will be appreciated by those skilled in the art that numerous changes and modifications can be made without departing from the invention. Accordingly, all such modifications and variations are intended to be included within the scope of the present invention.

100: central server 110: means for collecting information
120: failure prediction means 130: information providing means
200: Virtual Infrastructure 210: VDI Layer
220: VM Layer 230: Hypervisor Layer
300: administrator terminal

Claims (6)

In a virtual infrastructure fault management system,
Performance, and failure data of the virtual infrastructure 200, predicts the failure in the virtual infrastructure 200, analyzes the bottleneck section, visualizes the failure prediction result and the bottleneck section analysis result, (100);
A virtual infrastructure 200 including a VDI layer 210, a VM layer 220, a hypervisor layer 230, and a network and storage as an infrastructure for failure prediction and bottleneck section analysis of the central server 100; And
And an administrator terminal 300 receiving data visualization information of a failure prediction and a bottleneck section analysis result for the virtual infrastructure 200 from the central server 100,
The configuration, performance, and fault data of the virtual infrastructure 200 collected by the central server 100 include configuration, performance, and fault data of the VDI layer 210, the VM layer 220 configuration, Performance, fault data, the virtual infrastructure 200 network configuration, performance, and failure data, and the virtual infrastructure 200 storage configuration, performance, and fault data. In addition,
The VDI environment that the central server 100 supports for the configuration, performance, and fault data collection of the virtual infrastructure 200 includes a Citrix XenDesktop and a VMware View environment. The hypervisor environment includes XEN, KVM, RHEV, VMware vSphere , A Microsoft Hyper-V environment, an IBM PowerVM, and an HP VM environment, and the virtual infrastructure 200 storage includes an RDBMS (relational database) DB and a NoSQL DB.
The central server 100 analyzes statistical analysis of the configuration, performance, and failure data of the collected virtual infrastructure 200, rule processing analysis for a specific event, and failure prediction based on statistical analysis and rule processing analysis Analysis and a function of performing a self-diagnosis analysis for a failure prevention measure based on the fail-over type,
The configuration, performance, and failure data of the VDI layer 210 collected by the central server 100 include data defining configuration, performance, and failure data for each node constituting the VDI service, association information between the nodes, Star performance, and fault data,
The configuration, performance, and failure data of the VM layer (220) collected by the central server (100) includes data defining configuration, performance, and failure data of the VM, association information between the VM and the hypervisor, Performance, and failure data for the hypervisor that it has,
The configuration, performance, and failure data of the hypervisor layer 230 collected by the central server 100 include data defining configuration, performance, and failure data for the hypervisor according to the virtual infrastructure type, association information between the hypervisor, , Performance and fault data for networks and storage associated with hypervisors,
The network configuration, performance, and failure data collected by the central server 100 include configuration, performance, and failure data for a virtual network constituting the virtual infrastructure, Hypervisor data connected to the virtual network, Performance, fault data for hypervisors that are relevant to the network,
The storage configuration, performance, and failure data of the virtual infrastructure 200 collected by the central server 100 include configuration, performance, and failure data for the virtual storage constituting the virtual infrastructure, Hypervisor data linked to the virtual storage, The virtual infrastructure fault management system is characterized by including performance and fault data for hypervisors having storage associations.
delete The method according to claim 1,
The central server 100 performs plug-in data visualization in visualizing the failure prediction result and the bottleneck section analysis result for the virtual infrastructure 200. The plug-in data visualization includes a gadget-based dashboard configuration, A data visualization component configuration, a visualization component installation, and a virtual infrastructure infrastructure mapping relationship.
In a virtual infrastructure fault management method,
(A) central server (100) collecting configuration, performance, and failure data of the virtual infrastructure (200) from a virtual infrastructure (200);
(B) performing the bottleneck section analysis by predicting a failure in the virtual infrastructure (200) by the central server (100); And
(C) the central server 100 performs data visualization on the failure prediction and bottleneck section analysis results of the virtual infrastructure 200, and provides the data visualization execution result to the administrator terminal 300 ,
The configuration, performance, and failure data of the virtual infrastructure 200 collected by the central server 100 in the step (A) include the VDI layer 210 configuration, performance, fault data, VM layer 220 configuration, Performance, fault data, the hypervisor layer 230 configuration, performance, fault data, the virtual infrastructure 200 network configuration, performance, fault data, and the virtual infrastructure 200 storage configuration, , ≪ / RTI >
In step (A), the VDI environment that the central server 100 supports for the configuration, performance, and fault data collection of the virtual infrastructure 200 includes a Citrix XenDesktop and a VMware View environment. The hypervisor environment includes XEN, KVM, RHEV, VMware vSphere, and Microsoft Hyper-V environments, IBM PowerVM, and HP VM environments, and the virtual infrastructure 200 storage includes an RDBMS (relational database) DB and a NoSQL DB and,
The step (B) includes the steps of: the central server 100 performing statistical analysis on the configuration, performance, and failure data of the collected virtual infrastructure 200; and the central server 100 The central server 100 performs a failure prediction analysis based on statistical analysis and rule processing analysis, and the central server 100 performs a failure analysis based on the failover type And performing a self-diagnostic analysis for the disorder precaution action,
The configuration, performance, and failure data of the VDI layer 210 collected by the central server 100 in the step (A) are configured to define configuration, performance, fault data, and association information between nodes constituting the VDI service And performance and failure data for each section,
The configuration, performance, and failure data of the VM layer 220 collected by the central server 100 in the step (A) include data defining configuration, performance, and failure data of the VM and association information between the VM and the hypervisor And performance and failure data for a hypervisor having an association with a VM,
The configuration, performance, and failure data of the hypervisor layer 230 collected by the central server 100 in the step (A) include configuration, performance, and failure data for the hypervisor according to the virtual infrastructure type, association between the hypervisor, Data that defines information, performance and fault data for networks and storage that are associated with Hypervisors,
The network configuration, performance, and failure data collected by the central server 100 in the step (A) include configuration, performance, and failure data for the virtual network constituting the virtual infrastructure, Including hypervisor data associated with the hypervisor, and performance and failure data for hypervisors associated with the virtual network,
The storage configuration, performance, and failure data of the virtual infrastructure 200 collected by the central server 100 in the step (A) may include configuration, performance, and failure data for the virtual storage constituting the virtual infrastructure, Wherein the hypervisor data includes performance data for a hypervisor having associated hypervisor data and virtual storage, and failure data.
delete 5. The method of claim 4,
In the step (C), the central server 100 performs plug-in data visualization, and the plug-in data visualization step includes a gadget-based dashboard configuration step, a data visualization component configuration step, A component installation step, and a mapping relationship between virtual infrastructure structures.

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