KR102284264B1 - Cloud system and control method thereof - Google Patents

Abstract

The present invention relates to a cloud system and a method for controlling the same. The control method performed by the cloud system for processing using a container operating in a virtual machine (VM) in response to an external service request according to the present invention consumes resources through analysis of the corresponding container whenever a new container is registered determining an estimate; arranging and executing a container corresponding to the service request on the virtual machine; comparing at least one of the remaining resource consumption of the virtual machine and the estimated resource consumption of each container determined in the step to predict whether resources are insufficient when an additional service is requested; and generating an additional virtual machine in advance when the resource shortage is predicted in the above step.

Description

CLOUD SYSTEM AND CONTROL METHOD THEREOF

The present invention relates to a cloud system and a control method thereof, and more particularly, to a cloud system and a control method thereof for processing using a container operating in a virtual machine (VM) in response to an external service request.

The so-called cloud computing or cloud system refers to the provision of computing services such as a server, storage, software, and analysis through the "cloud", that is, the Internet. For example, NDrive of Naver, Google Docs, and OneDrive, which are installed together with Windows, are representative examples of such services. Currently, many users are using the cloud function easily.

As the number of people using cloud services increases exponentially, the amount of data that can be processed by servers and data centers begins to exceed, and in addition, data delays are occurring in the process of analyzing and transmitting the collected data. .

Edge computing has been introduced as one of the methods to solve the problems in the conventional cloud computing, particularly problems related to data processing speed and capacity.

Edge computing, also called fog computing and mobile edge computing (MEC), refers to performing computing at an end device, that is, at the 'edge'.

It means that the computing device is located close to the terminal devices used by users, rather than in a remote data center where data is processed and computed like in cloud computing.

In particular, if the devices located at the 'edge' have only played the role of data transmission or data storage so far, edge computing adds computing power to this 'edge' device to enable data analysis as well.

Such edge computing is used as a modified form of the cloud rather than being configured alone. In the cloud system including such edge computing, various services are provided based on 'container'.

Here, a container is a kind of virtualization technology and contains data, programs, and information necessary for providing each service, so the same container can perform the same function regardless of the server operating system version, and thus is widely used.

That is, when each service is provided by various servers, the burden of newly setting, for example, setting values or other items necessary for providing services for each server can be reduced by using such a container.

Such a container may be run on each virtual machine using virtualization technology.

That is, the cloud system may include a plurality of virtual machines, and a plurality of containers may be similarly disposed and executed in each virtual machine.

Therefore, although the container is driven on the virtual machine, it takes some time for the virtual machine to be created. Therefore, when there is a service request, it is not desirable to create a virtual machine in which a container for providing the service is to be placed only at that time because it causes a delay in providing the service.

Therefore, it is necessary to create a virtual machine in which the container will be placed in advance, but creating a few virtual machines in advance is not good in terms of resource efficiency even though there are not many service requests yet.

Therefore, there is a demand for a method for accurately predicting a required time and generating a virtual machine at an appropriate time in advance.

Patent Publication No. 10-2015-0068554

The present invention has been devised to meet the above-mentioned conventional request, and an object of the present invention is to provide a cloud system and a method thereof for accurately predicting the creation time of a virtual machine in which a container is placed and executed and prepared in advance.

In order to achieve the above object, the control method performed by the cloud system for processing using a container operating in a virtual machine (VM) in response to an external service request according to the present invention is performed whenever a new container is registered. determining an estimate of resource consumption through analysis of ; arranging and executing a container corresponding to the service request on the virtual machine; comparing at least one of the remaining resource consumption of the virtual machine and the estimated resource consumption of each container determined in the step to predict whether resources are insufficient when an additional service is requested; If the resource shortage is predicted in the above step, the step of generating an additional virtual machine in advance is performed.

Here, when a new service request is generated, the method may further include arranging a container corresponding to the new service request in the additional virtual machine previously created in the above step, and then executing the container.

Here, when a new service request occurs, the estimated resource consumption determined in the above step for the container corresponding to the new service request is compared with the remaining resource consumption of the current virtual machine. If the remaining amount of resource consumption is smaller, the new service request After placing the container corresponding to the additional virtual machine created in advance in the above step, it can be executed.

Here, by comparing the resource consumption estimate corresponding to the container disposed in the virtual machine immediately before with the remaining resource consumption of the virtual machine, it is possible to predict whether the resource is insufficient when an additional service is requested.

Here, by selectively comparing the resource consumption estimate corresponding to the container additionally placed in the virtual machine the most during a preset time with the remaining resource consumption of the virtual machine, it is possible to predict whether the resource is insufficient when an additional service is requested.

In addition, in order to achieve the above object, the cloud system that processes using a container operating in a virtual machine (VM) in response to an external service request according to the present invention analyzes the corresponding container whenever a new container is registered a determination unit for determining an estimate of resource consumption through a container arrangement execution unit for arranging and executing a container corresponding to a service request on the virtual machine; a resource shortage prediction unit that compares at least one of the resource consumption estimates of each container determined by the determination unit with the remaining resource consumption of the virtual machine and predicts whether there is a shortage of resources when an additional service is requested; and a virtual machine manager configured to generate an additional virtual machine in advance when a resource shortage is predicted by the resource shortage predictor.

Here, when a new service request occurs after the additional virtual machine is created in advance, the container arrangement execution unit may arrange and execute a container corresponding to the new service request in the additional virtual machine.

Here, when a new service request occurs, the container arrangement execution unit compares the estimated resource consumption determined by the determination unit with the remaining resource consumption of the current virtual machine for a container corresponding to the new service request, and the remaining resource consumption is smaller. In this case, the container corresponding to the new service request may be placed in the additional virtual machine and then executed.

Here, the resource shortage prediction unit compares the resource consumption estimate corresponding to the container placed in the virtual machine immediately before the container arrangement execution unit with the remaining resource consumption of the virtual machine to determine whether the resource is insufficient when an additional service is requested. predictable.

Here, the resource shortage predicting unit may compare the resource consumption estimate corresponding to the container additionally placed in the virtual machine the most during a preset time with the remaining resource consumption of the virtual machine to predict whether the resource is insufficient when an additional service is requested. .

As described above, according to the present invention, by predicting the scale-out situation of a virtual machine in advance and creating an additional virtual machine in advance at an appropriate time, it is possible to expedite processing according to a new service request and unnecessarily many virtual machines in advance. Resource efficiency is increased because it does not need to be created.

1 is a schematic configuration diagram of an entire system including a cloud system according to an embodiment of the present invention;
Figure 2 is a functional block diagram of the cloud system of Figure 1,
3 is a control flow diagram of a cloud system according to an embodiment of the present invention;
4 is a diagram illustrating a state in which a virtual machine is additionally created.

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

Hereinafter, each embodiment according to the present invention is merely an example for helping understanding of the present invention, and the present invention is not limited to these embodiments. In particular, the present invention may be composed of a combination of at least any one of individual components, individual functions, or individual steps included in each embodiment.

In particular, for convenience, some of the claims include an alphabet such as '(a)', but the alphabet does not define the order of each step.

In addition, each signal referred to in each embodiment according to the present invention may mean one signal transmitted by one connection, etc., but may also mean a series of signal groups transmitted for the purpose of performing a specific function to be described later. . That is, in each embodiment, a plurality of signals transmitted at a predetermined time interval or transmitted after receiving a response signal from a counterpart device may be expressed as one signal name for convenience.

A schematic configuration of the entire system including the cloud system 100 according to an embodiment of the present invention is shown in FIG. 1 .

As shown in the figure, the entire system may include the user terminal 200 and the cloud system 100 .

Here, the user terminal 200 is used by customers who request and use various services, and may be, for example, a wireless communication terminal such as a smart phone or a computer provided in the house, but is not limited thereto.

The cloud system 100 processes various requests from the user terminal 200 , and may provide various services such as a web service, a file storage service, and a messenger service.

In particular, the cloud system 100 processes these various services using containers, and an example of a specific functional block of the cloud system 100 is shown in FIG. 2 .

As shown in the figure, the cloud system 100 may be configured to include a determination unit 110 , a container arrangement execution unit 120 , a resource shortage prediction unit 130 , and a virtual machine management unit 140 , Furthermore, it may further include a container registration unit 150 , a service request receiving unit 160 , and a storage unit 170 .

First, the storage unit 170 stores various setting information, data, and applications necessary for the operation of the cloud system 100 , and also functions to store information newly generated or received from the outside during the operation of the cloud system 100 . carry out

In particular, various containers to be described later may be registered in the storage unit 170 , and a virtual machine may be created and stored.

The service request receiving unit 160 performs a function of receiving a service request signal from the user terminal 200 .

For example, a function of receiving various request signals such as a web service request, a file providing service request, and a messenger service request from the user terminal 200 is performed.

The container registration unit 150 performs a function of registering various containers in the storage unit 170 according to a request of an administrator.

Here, the container corresponds to a basic unit for processing each service request of the user terminal 200 as described above, and since the container itself corresponds to a known technology, a more detailed description will be omitted.

Each time a new container is registered in the storage unit 170 , the determination unit 110 performs a function of determining an estimate of resource consumption by analyzing the corresponding container.

Here, the container analysis includes the analysis of the container itself and the analysis of information related to the container.

For example, if the container itself includes information necessary for performing the container function, the determination unit 110 may analyze the information included in the container to determine an estimate of resource consumption required for the operation of the container. there is.

Alternatively, when a separate table to which functions of each container type is mapped exists, the determination unit 110 may determine an estimate of resource consumption of the newly registered container with reference to the table whenever a new container is registered.

Here, the resource consumption estimate is an estimate of the consumption of system resources required for the operation of each container, and may be, for example, an estimate of the consumption of CPU, memory, network resources, and the like.

The container arrangement execution unit 120 performs a function of placing a container corresponding to the service request received by the service request receiving unit 160 on the virtual machine and then executing it. That is, the container registered in the storage unit 170 can operate only after being placed in a specific virtual machine, and thus can process the service request of the user terminal 200 .

In particular, when any one virtual machine is created and at least one container is placed and operated on the virtual machine, the container arrangement execution unit 120 generates a new virtual machine when an additional virtual machine is previously created as will be described later. When a service request occurs, a container corresponding to the new service request may be placed and executed in either an existing virtual machine or a new virtual machine.

Specifically, when a new service request occurs, the container arrangement execution unit 120 compares the estimated resource consumption determined by the determination unit 110 with the remaining resource consumption of the current virtual machine for the container corresponding to the new service request. If the remaining amount of consumption is smaller, the container corresponding to the new service request may be placed in an additional virtual machine and then executed.

Here, the remaining amount of resource consumption of the virtual machine means the remaining amount after deducting the amount consumed by the pre-deployed container from among the resource allocations corresponding to the current virtual machine.

The resource shortage prediction unit 130 compares at least one of the resource consumption estimates of each container determined by the determination unit 110 with the remaining resource consumption of the virtual machine to predict whether or not there is a resource shortage when an additional service is requested. .

That is, in the present embodiment, each container is placed and executed on a virtual machine. When a resource quota is determined for each virtual machine, each container can be executed within the resource quota range of the virtual machine in which it is deployed, but lack of resources. The prediction unit 130 predicts such a situation in advance.

For example, the resource shortage predicting unit 130 compares the resource consumption estimate corresponding to the container placed in the virtual machine immediately before the container arrangement execution unit 120 with the remaining resource consumption of the virtual machine to request additional service. shortages can be predicted.

In particular, the resource shortage predicting unit 130 compares the resource consumption estimate corresponding to the container additionally placed in the virtual machine the most for a preset time with the remaining resource consumption of the currently used virtual machine, and when an additional service is requested, the resource is insufficient. It can be predicted whether

That is, the above-described example is described on the assumption that the same container can be additionally created. For example, when container A is placed and executed in the virtual machine and container B is additionally placed and executed in the virtual machine , the resource shortage predicting unit 130 may predict whether the resource is insufficient by comparing the estimated resource consumption determined for the container B with the remaining amount of resource consumption of the current virtual machine.

Meanwhile, the virtual machine management unit 140 manages each virtual machine, which is a kind of space in which containers are placed and executed, and may generate or destroy each virtual machine.

In particular, the virtual machine manager 140 may generate an additional virtual machine in advance when a resource shortage is predicted by the resource shortage predictor 130 .

In this case, the virtual machine manager 140 may leave the previously created virtual machine in an off state for a while without operating it, and may switch it to an on state when a new container arrangement is required later.

Hereinafter, a control process of the cloud system 100 according to an embodiment of the present invention will be described with reference to FIG. 3 .

When a new container registration is detected, the cloud system 100 analyzes the corresponding container to determine and store the estimated resource consumption.

Thereafter, when a service request is detected from the user terminal 200 , a container corresponding to the requested service is placed and executed in a currently created virtual machine.

Service provision is made by the operation of such a container.

Meanwhile, when a new container is deployed and executed in the virtual machine, the cloud system 100 compares the estimated resource consumption of each previously registered container with the remaining resource consumption of the current virtual machine.

As a result of the comparison, if the remaining amount of resource consumption of the virtual machine is smaller, the cloud system 100 creates an additional virtual machine in advance and puts it in a standby state.

For example, the cloud system 100 compares each of the resource consumption estimates of the previously registered containers with the remaining resource consumption of the virtual machine, and when the estimated resource consumption of any one container is greater than the remaining resource consumption of the virtual machine, the additional virtual machine can create

Referring to FIG. 4 , in a state in which a plurality of containers are registered in the container storage, when container B is deployed and driven in response to a new service request in a virtual machine in which container A is currently deployed and driven, the cloud system 100 . compares the current amount of resource consumption of the virtual machine with the estimated resource consumption of each container stored in the container storage. Reference numeral 100 indicates that an additional virtual machine may be created in advance and placed in a standby state as shown in FIG. 4 .

As another example, the cloud system 100 may preferentially compare only the resource consumption estimate of the container immediately deployed and executed with the remaining resource consumption amount of the virtual machine, and generate an additional virtual machine when the resource consumption estimate is larger. .

Subsequently, when another service request is detected from the user terminal 200 , the cloud system 100 places and executes a container corresponding to the another service request in a newly created virtual machine in a standby state.

Meanwhile, it goes without saying that the process of performing each of the above-described embodiments may be performed by a program or application stored in a predetermined recording medium (eg, computer-readable). Here, the recording medium includes an electronic recording medium such as a random access memory (RAM), a magnetic recording medium such as a hard disk, and an optical recording medium such as a compact disk (CD).

In this case, the program stored in the recording medium may be executed on hardware such as a computer or a smart phone to perform each of the above-described embodiments. In particular, at least one of the functional blocks of the cloud system 100 according to the present invention described above may be implemented by such a program or application.

In addition, the present invention is not limited to the specific embodiments described above, but can be practiced with various modifications and modifications within the scope without departing from the gist of the present invention. It will be apparent that such modifications and variations are included in the present invention provided they fall within the scope of the appended claims.

100: cloud system 200: user terminal
110: judgment unit 120: container arrangement execution unit
130: resource shortage prediction unit 140: virtual machine management unit
150: container register 160: service request receiving unit
170: storage

Claims (11)

In the control method performed by a cloud system that processes using a container operating in a virtual machine (VM) in response to an external service request,
(a) determining an estimate of resource consumption through analysis of the corresponding container whenever a new container is registered;
(b) placing a container corresponding to the service request on the virtual machine and then executing the container;
(c) predicting whether a resource is insufficient when an additional service is requested by comparing at least one of the remaining resource consumption of the virtual machine and the estimated resource consumption of each container determined in step (a);
(d) generating an additional virtual machine in advance when the resource shortage is predicted in step (c);
(e) when a new service request occurs after step (d), by comparing the estimated resource consumption determined in step (a) with the remaining resource consumption of the current virtual machine for the container corresponding to the new service request When the remaining amount of resource consumption is smaller, the container corresponding to the new service request is placed in the additional virtual machine previously created in step (d) and then executed. delete delete According to claim 1,
In the step (c), the resource consumption estimate corresponding to the container placed in the virtual machine immediately before the step (b) is compared with the remaining resource consumption of the virtual machine to predict whether there is a shortage of resources when an additional service is requested. A control method of a cloud system, characterized in that. According to claim 1,
In step (c), the resource consumption estimate corresponding to the most additionally placed container in the virtual machine for a preset time is selectively compared with the remaining resource consumption of the virtual machine to predict whether there is a shortage of resources when an additional service is requested. A control method of a cloud system, characterized in that. An application program stored in a computer-readable recording medium in combination with hardware to execute the method of any one of claims 1 to 5. In the cloud system for processing using a container operating in a virtual machine (VM) in response to an external service request,
a determination unit for determining an estimate of resource consumption through analysis of a corresponding container whenever a new container is registered;
a container arrangement execution unit for arranging and executing a container corresponding to a service request on the virtual machine;
a resource shortage prediction unit that compares at least one of the resource consumption estimates of each container determined by the determination unit with the remaining resource consumption of the virtual machine and predicts whether there is a shortage of resources when an additional service is requested;
and a virtual machine management unit which generates an additional virtual machine in advance when the resource shortage is predicted by the resource shortage prediction unit;
When a new service request occurs after the additional virtual machine is created in advance, the container arrangement execution unit calculates the estimated resource consumption determined by the determination unit and the remaining amount of resource consumption of the current virtual machine for the container corresponding to the new service request. In comparison, when the remaining amount of resource consumption is smaller, a container corresponding to the new service request is placed in the additional virtual machine and then executed. delete delete 8. The method of claim 7,
The resource shortage predicting unit is configured to compare an estimate of resource consumption corresponding to a container placed in the virtual machine immediately before by the container arrangement execution unit with the remaining resource consumption of the virtual machine to predict whether or not a resource is insufficient when an additional service is requested. Cloud system, characterized in that. 8. The method of claim 7,
The resource shortage prediction unit compares the resource consumption estimate corresponding to the container additionally placed in the virtual machine the most during a preset time with the remaining resource consumption of the virtual machine to predict whether the resource will be insufficient when an additional service is requested. cloud system.

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