KR20170081404A - Apparatus and method for virtual machine recommendation - Google Patents

Abstract

A virtual machine recommendation apparatus and method are disclosed. A virtual machine recommendation apparatus according to the present invention includes an upload unit for receiving provider terminal information corresponding to the provider terminal, virtual machine information corresponding to a virtual machine, and a virtual machine image from a provider terminal, A storage unit for storing the performance evaluation processing unit, the received provider terminal information, the virtual machine information, the virtual machine image, and the performance evaluation information, the user terminal information received from the user terminal, and one or more A search unit for searching for the virtual machine and calculating a degree of similarity to at least a part of the searched virtual machines, and sorting the searched virtual machines according to the degree of similarity, and using the performance evaluation information corresponding to the virtual machine, Recommend a virtual machine to the user terminal, It includes parts of downloading and transmitting the virtual machine image corresponding to the virtual machine to the user terminal.

Description

[0001] APPARATUS AND METHOD FOR VIRTUAL MACHINE RECOMMENDATION [0002]

The present invention relates to a virtual machine recommendation, and more particularly, to a technique for recommending an optimal virtual machine corresponding to user terminal information and user and user desired information, so that a plurality of users can share a virtual machine.

Since the IT service using the physical server is allocated statically according to the highest resource requirement of the service, the utilization rate of the entire server resource is very low. Server virtualization technology is a typical way to increase the utilization of server resources. Server virtualization technology is a technology that virtualizes hardware and software resources and divides or combines resources as needed to provide a virtual new computing environment that is not bounded by physical resource boundaries.

A virtual machine (VM) used in virtualization technology is a software implementation of a computing environment, which means software that emulates a terminal such as a computer. You can install or run an operating system or application on these virtual machines.

The virtual machine can install the software for the virtualization service and set the resources according to the size of the service and store it as an image. At this time, the virtual machine of the stored image type can be copied and reused by another user.

Recently, a demand for recommending a virtual machine optimized for a user or a user terminal is continuously increasing, but there is no service that helps to select an optimal virtual machine that meets a user's request. This often results in virtual machines not being shared, or users using virtual machines that are not optimized for specific IT services.

Therefore, there is an urgent need for a technology that enables a plurality of users to share and use an optimized virtual machine through various performance verification.

Published Korean Patent Application No. 10-2012-0116773, October 23, 2012 (Name: Cloud Computing Service Center Recommendation Method)

An object of the present invention is to enable a plurality of users to share and use an optimized virtual machine through various performance tests.

It is also an object of the present invention to provide a method and system for enabling a service construction to be quickly performed by setting a series of setting operations for a specific service in advance so that a consuming verification process for optimizing a resource utilization rate of a server can be omitted or reduced .

It is another object of the present invention to provide a recommendation function necessary for selecting a virtual machine for a specific service, thereby preventing resource waste or cost wasted by selecting an inexperienced virtual machine.

It is also an object of the present invention to make it possible for a plurality of users to continuously share optimization results of a virtual machine to recommend the most optimized virtual machine to a user.

According to an aspect of the present invention, there is provided a virtual machine recommendation apparatus including an upload unit for receiving provider terminal information corresponding to a provider terminal, virtual machine information corresponding to a virtual machine, and a virtual machine image from a provider terminal, A storage unit for storing performance evaluation information which is a result of the performance evaluation of the benchmark; a storage unit for storing performance evaluation information for performing a benchmark performance evaluation of the machine; A search unit for searching at least one of the virtual machines corresponding to the received user terminal information and the desired specification information and calculating a similarity degree to at least a part of the searched virtual machines, and sorting the searched virtual machines according to the similarity , Performance evaluation information corresponding to the virtual machine is used And a downloading unit for recommending a virtual machine to the user terminal and transmitting the virtual machine image corresponding to the recommended virtual machine to the user terminal.

At this time, the downloading unit extracts virtual machines having the similarity calculated using the user terminal information and the desired specification information, among the plurality of virtual machine images stored in the storage unit, higher than a predetermined value, And transmit the virtual machine image corresponding to the virtual machine having the highest performance evaluation information among the virtual machines to the user terminal.

At this time, the degree of similarity may be calculated using at least one item similarity score among the central processing unit similarity score, the memory similarity score, the hard disk similarity score, and the network similarity score.

In this case, the degree of similarity may be calculated as the sum of the item similarity scores multiplied by the weights, and the one or more item similarity scores multiplied by the weights.

At this time, the download unit calculates first data, which is a difference between a maximum value and a minimum value among benchmark scores of the central processing unit corresponding to the plurality of virtual machines, Calculating a second data, which is a difference between a benchmark score of the central processing unit and a benchmark score of the central processing unit searched for using the desired specification information, and dividing the absolute value of the first data by the second data, The similarity score can be calculated.

In this case, the upload unit may receive a capacity value including at least one of a memory capacity, a hard disk capacity, and a network capacity from the provider terminal.

In this case, the download unit may calculate first data that is a difference between a maximum value and a minimum value among the capacity values corresponding to a plurality of virtual machines, and may calculate a capacity value corresponding to the virtual machine searched using the user terminal information Calculating a second degree of similarity between the first data and the second degree data, calculating a second degree of similarity between the first degree and the second degree, The disk similarity score, and the network similarity score.

At this time, the virtual machine information includes at least one of central processing unit information, memory information, disk information, and network information of the virtual machine, and the provider terminal information or the user terminal information includes at least one of the provider terminal or the user At least one of operating system information, installed software information, and network setting information corresponding to the terminal.

At this time, the upload unit may receive performance evaluation information including at least one of system resource utilization rate, throughput per unit time, and energy efficiency (PPW) from the provider terminal.

At this time, the download unit transmits the recommended virtual machine list generated based on the similarity to the user terminal together with the performance evaluation information corresponding to the virtual machines included in the recommended virtual machine list, And transmits the virtual machine image corresponding to the selected virtual machine to the user terminal.

In addition, the virtual machine recommendation method performed by the virtual machine recommendation apparatus according to an embodiment of the present invention is a method of recommending virtual machine recommendation from a provider terminal by providing provider terminal information corresponding to the provider terminal, virtual machine information corresponding to the virtual machine, Performing a benchmark performance evaluation of the virtual machine or receiving performance evaluation information corresponding to the virtual machine from the provider terminal, receiving the received provider terminal information, the virtual machine information, the virtual machine image Storing the performance evaluation information, searching at least one virtual machine corresponding to user terminal information and desired specification information received from the user terminal, calculating a similarity to at least a part of the retrieved virtual machines The virtual machines are searched based on the degree of similarity And recommending one or more of the virtual machines to the user terminal using performance evaluation information corresponding to the virtual machine; and selecting one of the recommended virtual machines from the virtual terminal, And transmitting the machine image to the user terminal.

According to the present invention, a plurality of users can share and use an optimized virtual machine through various performance verification.

Also, the present invention can omit or reduce the consuming verification process for optimizing the resource utilization rate of the server, and can rapidly establish a service by setting a series of setting tasks for a specific service.

In addition, the present invention provides a recommendation function necessary for selecting a virtual machine for a specific service, thereby preventing waste of resources or cost due to selection of an inexperienced virtual machine.

Further, the present invention allows a plurality of users to continuously share optimization results of a virtual machine, thereby recommending the most optimized virtual machine to a user.

1 is a diagram illustrating a virtual machine recommendation system according to an embodiment of the present invention.
2 is a block diagram showing a configuration of a virtual machine recommendation apparatus according to an embodiment of the present invention.
3 is a flowchart illustrating a virtual machine recommendation method according to an embodiment of the present invention.
4 is a view for explaining a virtual machine item according to an embodiment of the present invention.
5 is a view for explaining a virtual machine item information DB according to an embodiment of the present invention.
FIG. 6 is a diagram showing a CPU similarity matrix for calculating a degree of similarity according to an embodiment of the present invention.
7 is a flowchart illustrating a virtual machine uploading process of the virtual machine recommendation apparatus according to an embodiment of the present invention.
8 is a flowchart illustrating a process of downloading a virtual machine of a virtual machine recommendation apparatus according to an embodiment of the present invention.
9 is a view illustrating an example of a virtual machine search process according to an embodiment of the present invention.

The present invention will now be described in detail with reference to the accompanying drawings. Hereinafter, a repeated description, a known function that may obscure the gist of the present invention, and a detailed description of the configuration will be omitted. Embodiments of the present invention are provided to more fully describe the present invention to those skilled in the art. Accordingly, the shapes and sizes of the elements in the drawings and the like can be exaggerated for clarity.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating a virtual machine recommendation system according to an embodiment of the present invention.

1, the virtual machine recommendation system includes a provider terminal 100, a virtual machine recommendation apparatus 200, and a user terminal 300, and includes a provider terminal 100, a virtual machine recommendation apparatus 200, The user terminal 300 is connected to be able to communicate through a network. Here, the network is collectively referred to as a wireless or wired communication network, and the type of communication network is not limited.

First, the provider terminal 100 refers to a terminal providing a virtual machine image to be shared. A keyword corresponding to the virtual machine, major services and features of the virtual machine are uploaded to the virtual machine recommending device 200 together with the virtual machine image (upload). In addition, the provider terminal 100 can upload the virtual machine setting information, the information of the provider terminal 100, and the performance evaluation information of the virtual machine to the virtual machine recommendation apparatus 200. [ At this time, the performance evaluation information of the virtual machine may be the result of executing the benchmark program.

The provider terminal 100 supports virtualization, can create a virtual machine, install a guest OS on a virtual machine, and can install and run applications supported by the guest operating system. Here, the provider terminal 100 may be a desktop, a tablet PC, a notebook, a netbook, a smart phone, a smart pad, In particular, it may be in the form of a server providing services such as a web service, an e-mail service, a video play service, and the like.

Next, the virtual machine recommendation apparatus 200 stores the virtual machine image uploaded by the provider terminal 100, and provides the virtual machine corresponding to the recommendation request received from the user terminal 300 to the user terminal 300 . The virtual machine recommendation apparatus 200 can receive and store a virtual machine image from a plurality of provider terminals 100 and can recommend and transmit a virtual machine image corresponding to each recommendation request to a plurality of user terminals 300 .

Here, the recommendation request includes at least one of the user terminal information and the desired specification information received from the user terminal 300, and the virtual machine recommendation apparatus 200 uses the recommendation request received from the user terminal 300 to create a virtual machine The similarity degree to the virtual machines stored in the recommendation apparatus 200 may be calculated and the virtual machine corresponding to the user terminal 200 may be recommended based on the calculated similarity degree. At this time, the virtual machine recommendation apparatus 200 can recommend the virtual machine having excellent performance evaluation to the user terminal 300 by using the performance evaluation information for each virtual machine.

Finally, the user terminal 300 refers to a terminal of a user who wants to receive a virtual machine. The user terminal 300 receives the desired virtual machine feature information from the user and transmits the virtual machine feature information to the virtual machine recommendation apparatus 200. The virtual machine recommendation apparatus 200 receives a virtual machine list You can also choose.

The user terminal 300 may be connected to the provider terminal 100 through a network such as a desktop, a tablet PC, a notebook computer, a net book, a smart phone, ) And the like. In particular, the user terminal 300 may be in the form of a server for installing a virtual machine to provide services such as a web service, an e-mail service, a video play service, and the like.

2 is a block diagram showing a configuration of a virtual machine recommendation apparatus according to an embodiment of the present invention.

2, the virtual machine recommendation apparatus 200 includes an upload unit 210, a performance evaluation processing unit 220, a storage unit 230, a search unit 240, and a download unit 250.

First, the upload unit 210 receives the provider terminal information corresponding to the provider terminal 100 from the provider terminal 100, the virtual machine information corresponding to the uploaded virtual machine, and the virtual machine image. Here, the provider terminal information includes at least one of operating system information, installed software information, and network setting information corresponding to the provider terminal 100, and the virtual machine information includes at least one of central processing unit information of the virtual machine, And information.

The upload unit 210 may receive performance evaluation information for the virtual machine including at least one of system resource utilization rate, work throughput per unit time, and energy efficiency (PPW) from the provider terminal 100. In addition, the upload unit 210 may receive a capacity value including at least one of a memory capacity, a hard disk capacity, and a network capacity from the provider terminal 100.

Next, the performance evaluation processing unit 220 performs a benchmark performance evaluation of the virtual machine. The performance evaluation processing unit 220 controls the provider terminal 100 that uploads the virtual machine image to execute the benchmark program when the upload unit 210 does not receive the performance evaluation information of the virtual machine from the provider terminal 100 , And can receive the execution result of the benchmark program from the provider terminal 100. The performance evaluation processing unit 220 may also perform a benchmark performance evaluation of the virtual machine corresponding to the uploaded virtual machine image from the provider terminal 100. [

The storage unit 230 stores the provider terminal information, the virtual machine information, and the virtual machine image received from the provider terminal 100. The storage unit 230 may store provider terminal information, virtual machine information, performance evaluation information, capacity values, and the like so as to correspond to the virtual machine images received from the plurality of provider terminals 100. [

Next, the search unit 240 searches for a virtual machine corresponding to the user terminal information and the desired specification information, which are recommendation requests received from the user terminal 300. Here, the user terminal information includes at least one of operating system information, network information, and software information installed in the user terminal 300, which correspond to the user terminal 300 to create a virtual machine. The desired specification information includes at least one of the type of the IT service and the session size that the user wants to service using the virtual machine.

Finally, the download unit 250 calculates the similarity of at least a part of the stored virtual machines using the user terminal information or the desired specification information. The download unit 250 can recommend one or more virtual machines having excellent performance evaluation information among the virtual machines having similarity calculated using the user terminal information and the desired specification information among the stored plurality of virtual machine images to a threshold value or more And can transmit a virtual machine image corresponding to the virtual machine to the user terminal 300.

The degree of similarity may be calculated using at least one item similarity score among a CPU similarity score, a memory similarity score, a hard disk (HDD) similarity score, and a network similarity score.

Also, the download unit 250 can recommend the virtual machine corresponding to the user terminal 300 based on the calculated similarity, and transmit the recommendation to the user terminal 300. At this time, the download unit 250 can sort the recommended virtual machine list generated based on the similarity using the performance evaluation information, and transmit the ordered recommended virtual machine list to the user terminal 300. [ Also, the download unit 250 may transmit a virtual machine image corresponding to the virtual machine selected from the user terminal 300 to the user terminal.

The download unit 250 calculates first data that is a difference between a maximum value and a minimum value among benchmark scores of a central processing unit corresponding to a plurality of virtual machines, Calculating a second data which is a difference in benchmark score of a central processing unit corresponding to a virtual machine searched by using the benchmark score of the central processing unit and the desired specification information, calculating an absolute value of a value obtained by dividing the first data by the second data Can be calculated as the central processing unit similarity score retrieved using the desired specification information.

Also, the download unit 250 calculates first data, which is a difference between the maximum value and the minimum value, among the capacity values corresponding to the plurality of virtual machines, and calculates a capacity value corresponding to the virtual machine retrieved using the user terminal information, The absolute value of the value obtained by dividing the first data by the second data can be calculated as the similarity score corresponding to the capacity value by computing the second data which is the difference of the capacity value corresponding to the searched virtual machine using the specification information.

Here, the capacity value refers to a capacity value of any one of a memory, a hard disk, and a network, and the download unit 250 can calculate any one of a memory similarity score, a hard disk similarity score, and a network similarity score have. Also, the download unit 250 may calculate the similarity degree of the virtual machine by summing the similarity scores of the plurality of capacity values.

Hereinafter, a method for recommending a virtual machine of a virtual machine recommendation apparatus according to an embodiment of the present invention will be described in more detail with reference to FIG. 3 through FIG.

3 is a flowchart illustrating a virtual machine recommendation method according to an embodiment of the present invention.

First, the virtual machine recommendation apparatus 200 uploads a virtual machine item from the provider terminal 100 (S310), and stores the uploaded virtual machine item (S320).

The virtual machine recommendation apparatus 200 receives and stores the provider terminal information corresponding to the provider terminal 100, the virtual machine information corresponding to the virtual machine to be uploaded, and the virtual machine image from the provider terminal 100.

The virtual machine recommendation apparatus 200 further receives performance evaluation information corresponding to a virtual machine uploaded from the provider terminal 100 and stores the received performance evaluation information. When the virtual machine recommendation apparatus 200 does not receive the performance evaluation information from the provider terminal 100, the virtual machine recommendation apparatus 200 executes the benchmark program for the uploaded virtual machine, It can be saved as information.

4 is a view for explaining a virtual machine item according to an embodiment of the present invention.

As shown in FIG. 4, the virtual machine item uploaded from the provider terminal 100 by the virtual machine recommendation apparatus 200 may include virtual machine resource setting and other setting information, which is virtual machine information. Herein, the virtual machine resource setting information includes a central processing unit (CPU), memory, disk, and network information of the virtual machine, and other setting information includes operating system version information, installed software information, And network configuration information.

The virtual machine item may include performance evaluation information that is a result of benchmark performance evaluation and specification information of the provider terminal 100 that has performed the benchmark performance evaluation by installing the virtual machine. Here, performance evaluation information refers to performance information that is verified through benchmarks such as Web benchmark, input / output benchmark, and energy benchmark. System resource utilization rate, throughput per unit time, and energy efficiency (PPW).

When a virtual machine image is uploaded from a provider terminal 100 in order to recommend a virtual machine optimized for each of a plurality of user terminals 300 according to an embodiment of the present invention, The performance evaluation information corresponding to the received virtual machine image is input, or the benchmark performance evaluation is performed on the virtual machine.

When recommending a virtual machine to the provider terminal 300, the virtual machine recommendation apparatus 200 uses the performance evaluation information of the virtual machine to compare the provider terminal information of the provider terminal 300 and the desired specification information And recommends the optimized virtual machine to the provider terminal 300.

5 is a view for explaining a virtual machine item information DB according to an embodiment of the present invention.

As shown in FIG. 5, the virtual machine recommendation apparatus 200 may store a virtual machine item in the form of a virtual machine item or a virtual machine group item. Here, the virtual machine group item means a plurality of virtual machines required for a specific IT service.

For example, when the user terminal 300 wants to provide a web service, a plurality of virtual servers such as a web server and a DB server may be required. In order to support a plurality of virtual servers, .

Therefore, the virtual machine recommending apparatus 200 according to the embodiment of the present invention can create and store virtual machine group items for each IT service, and the virtual machine group items can be stored in a virtual machine corresponding to the web server, A plurality of virtual machines, such as machines, and the like.

In addition, the virtual machine recommendation apparatus 200 recommends a virtual machine group item corresponding to the IT service to be provided by the user terminal 300 to the user terminal 300, or a plurality of virtual machines included in the virtual machine group item May provide the virtual machine images corresponding to the user terminal 300 to the user terminal 300.

Next, the virtual machine recommendation apparatus 200 receives a recommendation request from the user terminal 300 (S330).

The recommendation request includes user terminal information and desired specification information, and the user terminal information includes at least one of operating system information, installed software information, and network setting information corresponding to the user terminal 300 to generate a virtual machine. The desired specification information may include a query keyword input by the user for searching for a virtual machine, and may include service information and feature information to be used by applying the virtual machine. In addition, the desired specification information may include a performance level of a virtual machine desired by a user, a type of an IT service to be provided using a virtual machine, a session size, and the like.

The virtual machine recommendation apparatus 200 calculates the similarity of the virtual machines using the recommendation request (S340).

In step S330, the virtual machine recommendation apparatus 200 may calculate the similarity of at least a part of the stored virtual machines. Using the user terminal information and the desired specification information included in the recommendation request received from the user terminal 300, The degree of similarity can be calculated.

In addition, the virtual machine recommendation apparatus 200 may calculate similarity using at least one item similarity score among the central processing unit similarity score, the memory similarity score, the hard disk similarity score, and the network similarity score.

FIG. 6 is a diagram showing a CPU similarity matrix for calculating a degree of similarity according to an embodiment of the present invention.

As shown in FIG. 6, the virtual machine recommendation apparatus 200 may calculate a central processing unit similarity score using a benchmark score of a central processing unit (CPU).

The virtual machine recommendation apparatus 200 calculates first data 44.03 which is a difference between a maximum value (87.69) and a minimum value (43.66) among benchmark scores of a central processing unit corresponding to a plurality of virtual machines. The benchmark score 62.98 of the central processing unit corresponding to the user terminal 300 searched using the user terminal information (Intel Core i7-860 (2.8 GHz)) and the desired specification information (Intel Core i7-870 (GHz) ) To calculate the second data (3.43) which is the difference of the benchmark score (66.41) of the searched central processing unit.

Also, the virtual machine recommendation apparatus 200 calculates the absolute value (12.84) of the value obtained by dividing the first data (44.03) by the second data (3.43) as the similarity score of the central processing unit.

The virtual machine recommendation apparatus 200 may calculate the similarity score using the capacity value corresponding to each virtual machine. Here, the capacity value may be at least one of a memory capacity, a hard disk capacity, and a network capacity.

The virtual machine recommendation apparatus 200 calculates first data which is a difference between a maximum value and a minimum value among the capacity values corresponding to a plurality of virtual machines, and calculates a capacity value corresponding to the virtual machine, Calculating an absolute value of a value obtained by dividing the first data by the second data by a memory similarity score, a hard disk similarity score, and a network similarity score among the scores of the network similarity score It can be calculated as either one.

At this time, the virtual machine recommendation apparatus 200 can multiply each item similarity score by a weight, and calculate the similarity by summing one or more item similarity scores multiplied by the weight.

Finally, the virtual machine recommendation apparatus 200 recommends a virtual machine to the user terminal based on the similarity and performance evaluation information (S350).

The virtual machine recommendation apparatus 200 may select a virtual machine to be recommended to the user terminal 300 based on the degree of similarity or select a virtual machine to be recommended based on the performance evaluation information. And transmit the virtual machine image corresponding to the selected virtual machine to the user terminal 300.

In addition, the virtual machine recommendation apparatus 200 can generate a list of recommended virtual machines including a plurality of virtual machines and transmit them to the user terminal 300. Also, the virtual machine recommendation apparatus 200 can generate a virtual machine image corresponding to the virtual machine selected from the user terminal 300 To the user terminal (300).

In this case, the recommended virtual machine list includes virtual machines whose similarity calculated using the user terminal information and the desired specification information is higher than a preset value, and the virtual machine recommendation apparatus 200 includes performance evaluation information corresponding to each virtual machine To the user terminal 300. The recommended virtual machine list may be provided to the user terminal 300. [

Hereinafter, the virtual machine uploading process of the virtual machine recommendation apparatus will be described in detail with reference to FIG.

7 is a flowchart illustrating a virtual machine uploading process of the virtual machine recommendation apparatus according to an embodiment of the present invention.

As shown in FIG. 7, the virtual machine recommendation apparatus 200 receives a virtual machine title from the provider terminal 100 (S710), and receives main services and features of the virtual machine (S720).

The virtual machine title means a keyword or a string representing the virtual machine to be uploaded. The main service and characteristics of the virtual machine are the contents to be served using the corresponding virtual machine such as "Web server" and "disk sharing server" . The virtual machine recommendation apparatus 200 may be included in the virtual machine information received from the provider terminal 100 in step S310 of FIG. 3 .

Next, the virtual machine recommendation apparatus 200 receives virtual machine setting information from the provider terminal 100 (S730). Here, the virtual machine setting information means the virtual machine resource setting information of FIG. 4, and redundant description will be omitted.

In addition, the virtual machine recommendation apparatus 200 receives virtual machine host machine information from the provider terminal 100 (S740).

The virtual machine recommendation apparatus 200 receives the provider terminal information from the provider terminal 100 or the provider terminal 100 receives the provider terminal information from the provider terminal 100. The virtual machine recommendation apparatus 200 receives the provider terminal information from the provider terminal 100, The provider terminal information can be collected using the specific agent program.

The virtual machine recommendation apparatus 200 receives the virtual machine performance evaluation information from the provider terminal 100 (S750).

The virtual machine recommendation apparatus 200 receives the virtual machine performance evaluation information from the provider terminal 100. However, the virtual machine recommendation apparatus 200 is not limited to the virtual machine recommendation apparatus 200, , And receive the execution result as virtual machine performance evaluation information.

In addition, the virtual machine recommendation apparatus 200 may proceed to step S760, which will be described later, without receiving the virtual machine performance evaluation information from the provider terminal 100. [

Finally, the virtual machine recommendation apparatus 200 receives the virtual machine image file from the provider terminal 100 (S760).

The virtual machine recommendation apparatus 200, which has uploaded the virtual machine image file, stores the virtual machine image file. At this time, the virtual machine recommendation apparatus 200 transmits the information received from the provider terminal 100 through steps S710 to S750 And stores it so as to correspond to the virtual machine image file.

Hereinafter, a process of downloading a virtual machine of the virtual machine recommendation apparatus will be described in detail with reference to FIGS. 8 and 9. FIG.

FIG. 8 is a flowchart illustrating a process of downloading a virtual machine of a virtual machine recommendation apparatus according to an embodiment of the present invention. FIG. 9 is a view illustrating a virtual machine search process according to an embodiment of the present invention.

First, the virtual machine recommendation apparatus 200 receives a virtual machine search query term from the user terminal 300 (S810).

The virtual machine recommendation apparatus 200 receives a virtual machine search query term such as a title or keyword corresponding to the virtual machine from the user terminal 300 that is to create the virtual machine. Here, the virtual machine search query word may be information on services and features to be mainly used in a virtual machine such as "Web server" and "disk sharing server ".

The virtual machine recommendation apparatus 200 receives the virtual machine host machine information from the user terminal 300 (S820).

The user terminal 300 may transmit the user terminal information as virtual machine host machine information to the virtual machine recommending device 200 or the virtual machine recommending device 200 may collect the user terminal information using the agent program.

9, the user terminal 300 can receive user terminal information (Target System), a main service to be served using a virtual machine, a session size, and the like from a user . The user terminal 300 transmits the input user terminal information, the main service, and the session size to the virtual machine recommendation apparatus 200.

The search query term and the virtual machine host machine information may be referred to as the recommendation request of FIG.

Next, the virtual machine recommendation apparatus 200 processes the search query word and the virtual machine host machine information input from the user terminal 300 (S830).

The virtual machine recommendation apparatus 200 searches virtual machines corresponding to the search query term and virtual machine host machine information input from the user terminal 300 in steps S810 and S820 among the previously stored virtual machines.

In addition, the virtual machine recommendation apparatus 200 processes the host machine similarity (S840).

The virtual machine recommendation apparatus 200 calculates the degree of similarity with respect to the one or more virtual machines searched. Here, the process of calculating the degree of similarity is substantially the same as that of step S340 of FIG. 3, and redundant explanations are omitted.

The virtual machine recommendation apparatus 200 aligns the plurality of virtual machines according to the performance evaluation (S850).

The virtual machine recommendation apparatus 200 that calculated the similarity arranges a plurality of virtual machines so as to correspond to the performance evaluation information corresponding to each virtual machine.

For convenience of explanation, the virtual machine recommendation apparatus 200 has been described as arranging the virtual machines according to the performance evaluation information corresponding to the virtual machine. However, the present invention is not limited thereto, You can sort virtual machines accordingly.

Next, the virtual machine recommendation apparatus 200 presents the sorted virtual machine list to the user terminal 300 and selects a virtual machine from the user terminal 300 (S860).

As shown in FIG. 9, the virtual machine recommending apparatus 200 can arrange virtual machine lists in descending order of similarity and present them to the user terminal 300. At this time, the virtual machine list includes virtual machine host machine information, A benchmarking score corresponding to the virtual machine image, and a link for downloading the virtual machine image.

For convenience of explanation, the virtual machine recommendation apparatus 200 arranges the virtual machine list in order of similarity and presents the virtual machine list to the user terminal 300. However, the present invention is not limited to this, and various sorting conditions, filtering, To the user terminal 300.

Finally, the virtual machine recommendation apparatus 200 transmits a virtual machine image corresponding to the selected virtual machine to the user terminal 300 (S870).

The virtual machine recommendation apparatus 200 transmits the virtual machine image corresponding to the virtual machine selected from the user terminal 300 to the user terminal 300 for convenience of explanation, And transmits a link to download the virtual machine having the highest calculated recommended score to the user terminal 300. [

As described above, the apparatus and method for recommending a virtual machine according to the present invention are not limited to the configuration and method of the embodiments described above, but rather, All or some of them may be selectively combined.

100: Provider terminal
200: Virtual machine recommendation device
210:
220: Performance evaluation processor
230:
240:
250: Download section
300: user terminal

Claims (20)

An upload unit for receiving, from a provider terminal, provider terminal information corresponding to the provider terminal, virtual machine information corresponding to the virtual machine, and virtual machine image,
A performance evaluation processor for performing a benchmark performance evaluation of the virtual machine,
A storage unit for storing performance evaluation information which is a result of the performance evaluation of the virtual machine and the virtual machine image,
A search unit for searching at least one virtual machine corresponding to the user terminal information and the desired specification information received from the user terminal and calculating the similarity of at least a part of the searched virtual machines,
Arranging the searched virtual machines according to the degree of similarity, recommending a virtual machine to the user terminal using performance evaluation information corresponding to the virtual machine, and transmitting the virtual machine image corresponding to the recommended virtual machine to the user terminal The download unit
And a virtual machine recommendation device. The method according to claim 1,
The downloading unit,
Extracting, from among the plurality of virtual machine images stored in the storage unit, virtual machines having the similarity calculated using the user terminal information and the desired specification information to a predetermined value, And transmits the virtual machine image corresponding to the virtual machine having the highest evaluation information to the user terminal. 3. The method of claim 2,
Preferably,
Wherein the score is calculated using at least one item similarity score among a central processing unit similarity score, a memory similarity score, a hard disk similarity score, and a network similarity score. The method of claim 3,
Preferably,
Wherein the item similarity score is calculated as a sum of the item similarity score multiplied by a weight and one or more item similarity scores multiplied by the weight. The method of claim 3,
The downloading unit,
Calculating a first data which is a difference between a maximum value and a minimum value among benchmark scores of a central processing unit corresponding to the plurality of virtual machines, calculating a benchmark score of the central processing unit searched using the user terminal information, A virtual machine for calculating the absolute value of a value obtained by dividing the first data by the second data by the central processing unit similarity score, calculating a second data which is a difference of a benchmark score of the central processing unit searched by using the specification information, Recommended device. The method of claim 3,
The above-
And a capacity value including at least one of a memory capacity, a hard disk capacity and a network capacity from the provider terminal. The method according to claim 6,
The downloading unit,
Calculating first data that is a difference between a maximum value and a minimum value among the capacity values corresponding to the plurality of virtual machines, and using the capacity value corresponding to the virtual machine retrieved using the user terminal information and the desired specification information Calculating an absolute value of a value obtained by dividing the first data by the second data by the memory similarity score, the hard disk similarity score, the network similarity score, Score of the virtual machine. The method according to claim 1,
The virtual machine information includes:
At least one of central processing unit information, memory information, disk information, and network information of the virtual machine,
Wherein the provider terminal information or the user terminal information comprises:
And at least one of operating system information, installed software information, and network setting information corresponding to the provider terminal or the user terminal. The method according to claim 1,
The above-
And receives performance evaluation information including at least one of system resource utilization rate, work throughput per unit time, and energy efficiency (PPW) from the provider terminal. 10. The method of claim 9,
The downloading unit,
And transmits the recommended virtual machine list generated based on the similarity to the user terminal together with the performance evaluation information corresponding to the virtual machines included in the recommended virtual machine list, And transmits the corresponding virtual machine image to the user terminal. A virtual machine recommendation method performed by a virtual machine recommendation apparatus,
Receiving provider terminal information corresponding to the provider terminal, virtual machine information corresponding to the virtual machine, and virtual machine image from the provider terminal,
Performing benchmark performance evaluation of the virtual machine or receiving performance evaluation information corresponding to the virtual machine from the provider terminal,
Storing the received provider terminal information, the virtual machine information, the virtual machine image, and the performance evaluation information,
Searching at least one virtual machine corresponding to user terminal information and desired specification information received from a user terminal,
Computing a similarity to at least a portion of the retrieved virtual machines,
Sorting the searched virtual machines according to the degree of similarity, recommending one or more virtual machines to the user terminal using performance evaluation information corresponding to the virtual machine, and
And transmitting the virtual machine image corresponding to the virtual machine selected from the user terminals among the recommended virtual machines to the user terminal. 12. The method of claim 11,
Wherein the recommending virtual machine comprises:
Extracting, from among the stored plurality of virtual machine images, virtual machines having the similarity calculated using the user terminal information and the desired specification information to be higher than a predetermined value, and
And recommending the virtual machine having the highest performance evaluation information among the extracted virtual machines. 13. The method of claim 12,
Preferably,
A virtual machine recommendation method using at least one item similarity score among a central processing unit similarity score, a memory similarity score, a hard disk similarity score, and a network similarity score. 14. The method of claim 13,
Preferably,
Wherein each item similarity score is multiplied by a weight, and is calculated as a sum of one or more item similarity scores multiplied by the weight. 14. The method of claim 13,
The step of calculating the degree of similarity may include:
Calculating a first data which is a difference between a maximum value and a minimum value among benchmark scores of a central processing unit corresponding to the plurality of virtual machines, calculating a benchmark score of the central processing unit searched using the user terminal information, A virtual machine for calculating the absolute value of a value obtained by dividing the first data by the second data by the central processing unit similarity score, calculating a second data which is a difference of a benchmark score of the central processing unit searched by using the specification information, Recommended method. 14. The method of claim 13,
The step of receiving the provider terminal information, the virtual machine information corresponding to the virtual machine, and the virtual machine image,
Further receiving, from the provider terminal, a capacity value including at least one of a memory capacity, a hard disk capacity, and a network capacity. 17. The method of claim 16,
The step of calculating the degree of similarity may include:
Calculating first data that is a difference between a maximum value and a minimum value among the capacity values corresponding to the plurality of virtual machines, and using the capacity value corresponding to the virtual machine retrieved using the user terminal information and the desired specification information Calculating an absolute value of a value obtained by dividing the first data by the second data by the memory similarity score, the hard disk similarity score, the network similarity score, Score of the virtual machine. 12. The method of claim 11,
The virtual machine information includes:
At least one of central processing unit information, memory information, disk information, and network information of the virtual machine,
Wherein the provider terminal information or the user terminal information comprises:
And at least one of operating system information, installed software information, and network setting information corresponding to the provider terminal or the user terminal. 12. The method of claim 11,
The step of receiving the provider terminal information, the virtual machine information corresponding to the virtual machine, and the virtual machine image,
And receiving performance evaluation information including at least one of system resource utilization rate, work throughput per unit time, and energy efficiency (PPW) from the provider terminal. 20. The method of claim 19,
And recommending the virtual machine and transmitting the virtual machine to the user terminal,
And transmits the recommended virtual machine list generated based on the similarity to the user terminal together with the performance evaluation information corresponding to the virtual machines included in the recommended virtual machine list, And transmitting the corresponding virtual machine image to the user terminal.

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