KR20200077391A - Electronic device for performing migration for virtual machine in cloud environment and operation method thereof - Google Patents

Abstract

According to various embodiments of the present invention, an electronic device in a cloud environment can comprise: a communication module; at least one memory for storing instructions; and at least one processor, when executing the instructions, configured to receive a request of a user, identify the type of the workload of a service related to the request of the user in response to the reception, determine a candidate machine corresponding to the identified type of the workload among a plurality of candidate machines in the cloud environment as a target machine, and perform migration for a virtual machine to the determined candidate machine by using the communication module. Therefore, the migration performance can be maintained above the target quality of service (QoS).

Description

ELECTRONIC DEVICE FOR PERFORMING MIGRATION FOR VIRTUAL MACHINE IN CLOUD ENVIRONMENT AND OPERATION METHOD THEREOF}

Various embodiments described below relate to an electronic device for performing migration for a virtual machine in a cloud environment and a method for operating the same.

User demand for cloud environments is increasing. To cope with this increase in demand, electronic devices that perform resource management in a cloud environment using migration for virtual machines have been developed.

An electronic device that controls a plurality of physical machines in a cloud environment may perform resource management in the cloud environment using migration for a virtual machine. Since the performance of the migration can be changed according to the state of the service provided through the cloud environment, a method for maintaining the performance of the migration according to the state of the service may be required.

The technical problems to be achieved in this document are not limited to the technical problems mentioned above, and other technical problems not mentioned can be clearly understood by those skilled in the art from the following description. There will be.

An electronic device in a cloud environment, according to various embodiments, receives a request from a user when a communication module, at least one memory storing instructions, and when executing the instructions, , In response to the reception, identify a type of workload of a service related to the request of the user, and select a candidate machine corresponding to the identified workload type among a plurality of candidate machines in the cloud environment It may include at least one processor configured to be determined as a target machine and configured to perform migration for the virtual machine to the determined candidate machine using the communication module.

According to various embodiments, a method for operating an electronic device in a cloud environment includes an operation of receiving a request from a user and a type of workload of a service related to the request from the user in response to the reception. And determining a candidate machine corresponding to the identified workload type among a plurality of candidate machines in the cloud environment as a target machine, and migrating a virtual machine to the determined candidate machine. It may include an operation performed by using the communication module of the electronic device.

A non-transitory computer readable storage medium, according to various embodiments, when executed by one or more processors of an electronic device in a cloud environment, receives a user's request and receives the request. In response, identify a type of workload of a service related to the request of the user, and determine a candidate machine corresponding to the identified type of workload among a plurality of candidate machines in the cloud environment as a target machine And, to perform the migration (migration) for the virtual machine to the determined candidate machine using the communication module, one or more programs including instructions for causing the electronic device may be stored.

According to various embodiments of the present disclosure, the electronic device determines a target machine to perform migration for a virtual machine according to a type of workload of a service provided through a cloud environment, so that the performance of the migration is higher than a target quality of service (QoS). Can be maintained.

The effects obtainable in the present disclosure are not limited to the above-mentioned effects, and other effects not mentioned may be clearly understood by those skilled in the art from the following description. will be.

1 illustrates a cloud environment including an electronic device according to various embodiments.
2 is a flowchart illustrating an operation of an electronic device performing migration for a virtual machine to a candidate machine determined as a target machine based on a type of workload according to various embodiments.
3 is a flowchart illustrating an operation of an electronic device that determines a candidate machine as a target machine according to a type of workload according to various embodiments.
4 is a graph showing examples of parameters of state information of each of a plurality of candidate machines configured according to various embodiments.
5 is a graph illustrating an example of determining a candidate machine as a target machine according to a type of workload according to various embodiments.
6 is a flowchart illustrating an operation of an electronic device that determines whether a QoS of a candidate machine determined as a target machine meets a target QoS according to various embodiments.
7 is a simplified block diagram of an electronic device according to various embodiments.
8 is a simplified block diagram of modules of an electronic device included in a cloud environment according to various embodiments.

An electronic device according to various embodiments disclosed in this document may be a device of various types. The electronic device may include, for example, a portable communication device (eg, a smart phone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, a server in a cloud environment, or a home appliance device. The electronic device according to the embodiment of the present document is not limited to the above-described devices.

It should be understood that various embodiments of the document and terms used therein are not intended to limit the technical features described in this document to specific embodiments, and include various modifications, equivalents, or substitutes of the embodiment. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of the items, unless the context clearly indicates otherwise. In this document, "A or B", "at least one of A and B", "at least one of A or B", "A, B or C", "at least one of A, B and C", and "A Each of the phrases such as "at least one of,, B, or C" may include any one of the items listed together in the corresponding phrase of the phrases, or all possible combinations thereof. Terms such as “first”, “second”, or “first” or “second” can be used to simply distinguish a component from other components, and to separate components from other aspects (eg, importance or Order). Any (eg, first) component is referred to as “coupled” or “connected” to another (eg, second) component, with or without the term “functionally” or “communically” When mentioned, it means that any of the above components can be connected directly to the other components (eg, by wire), wirelessly, or through a third component.

The term "module" used in this document may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic blocks, components, or circuits. The module may be an integrally configured component or a minimum unit of the component or a part thereof performing one or more functions. For example, according to an embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

Various embodiments of the present document may be implemented as software that includes one or more instructions stored in a storage medium readable by a machine. For example, the processor of the device may invoke and execute at least one of the one or more instructions stored from the storage medium. This enables the device to be operated to perform at least one function according to the at least one command called. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The storage medium readable by the device may be provided in the form of a non-transitory storage medium. Here,'non-transitory' only means that the storage medium is a tangible device, and does not contain a signal (eg, electromagnetic waves), and this term is used when data is stored semi-permanently. It does not distinguish between temporary storage cases.

According to one embodiment, a method according to various embodiments disclosed in this document may be provided as being included in a computer program product. Computer program products can be traded between sellers and buyers as products. The computer program product is distributed in the form of a device-readable storage medium (eg compact disc read only memory (CD-ROM)), or through an application store (eg Play StoreTM) or two user devices ( For example, it can be distributed directly (e.g., downloaded or uploaded) between smartphones). In the case of online distribution, at least a portion of the computer program product may be stored at least temporarily in a storage medium readable by a device such as a memory of a manufacturer's server, an application store's server, or a relay server, or may be temporarily generated.

According to various embodiments, each component (eg, module or program) of the above-described components may include a singular or a plurality of entities. According to various embodiments, one or more components or operations of the above-described corresponding components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (eg, modules or programs) may be integrated into one component. In this case, the integrated component may perform one or more functions of each component of the plurality of components the same or similar to that performed by the corresponding component among the plurality of components prior to the integration. . According to various embodiments, operations performed by a module, program, or other component may be executed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations may be executed in a different order, or omitted Or, one or more other actions can be added.

1 illustrates a cloud environment including an electronic device according to various embodiments.

Referring to FIG. 1, the cloud environment 100 may include an electronic device 110, an electronic device 120-1 to an electronic device 120-n, and an electronic device 130.

In various embodiments, the electronic device 110 may be a device that directly receives input from a user who receives a service through the cloud environment 100. For example, while exchanging traffic with the electronic device 120-1 for the service through the cloud environment 100, the electronic device 110 may receive a user input related to the service. The electronic device 110 may be referred to as a user terminal in terms of directly receiving user input. In various embodiments, the electronic device 110 may be a device having mobility (eg, a smart phone, a laptop computer, a wearable device, etc.). In various embodiments, the electronic device 110 may be a fixed device (eg, a desktop computer, a smart refrigerator, a smart TV, etc.).

In various embodiments, each of the electronic device 120-1 to the electronic device 120-n (where n is any natural number greater than 1) is notified to the user of the electronic device 110 through the cloud environment 100. In order to provide a service, it may be a device that provides data in the cloud environment 100 to the electronic device 110. For example, each of the electronic devices 120-1 to 120-n may be referred to as a data center or server in terms of providing data to the electronic device 110. For example, when each of the electronic devices 120-1 to 120-n is geographically distributed, the cloud environment in which each of the electronic devices 120-1 to 120-n is distributed In terms of providing 100, it can be referred to as a micro data center. For example, the electronic device 110 receives data for the service from the electronic device 120-1 when located within the coverage of the electronic device 120-1, which is a micro data center, and the electronic device that is a micro data center When located within the coverage of (120-k) (k is any natural number greater than 1 and less than n), data for the service may be provided from the electronic device 120-k.

In various embodiments, the electronic device 130 may be configured to enable the electronic device 120-1 to the electronic device 120-n to provide a service to the electronic device 110 through the cloud environment 100. It may be a device that controls the device 120-1 to the electronic device 120-n. For example, the electronic device 130, according to a change in the position of the electronic device 110, the electronic device 120-m is a device that provides the service to the electronic device 110 (m is greater than 1 and n Electronic device 120-k and electronic device 120-k to change from smaller random natural number to electronic device 120-k (k is any natural number greater than 1 and less than n and different from m) ) Can be controlled. For example, the electronic device 130 is configured to provide the service when the device providing the service to the electronic device 110 is changed from the electronic device 120-m to the electronic device 120-k. Information about the virtual machine may be migrated to the electronic device 120-k. For example, when the electronic device 130 changes a device providing a service to the electronic device 110 from the electronic device 120-m to another electronic device, the electronic device 120-1 to the electronic device ( Among 120-n), an optimal electronic device 120-k to provide a service to the electronic device 110 may be determined, and information on the virtual machine may be migrated to the determined electronic device 120-k. Specific operations performed or performed in the electronic device 130 will be described later with reference to FIGS. 2 to 8. In various embodiments, the electronic device 130 may be referred to as a control center in terms of controlling the electronic devices 120-1 to 120-n.

2 is a flowchart illustrating an operation of an electronic device performing migration for a virtual machine to a candidate machine determined as a target machine based on a type of workload according to various embodiments. The operation of the electronic device illustrated by the flow chart may be performed by the electronic device 130 or the processor of the electronic device 130 (eg, the processor 710 of FIG. 7) in the cloud environment 100 of FIG. 1. The operation of the electronic device illustrated by the flowchart may be executed by instructions stored in (or temporarily stored in) the memory 720 of the electronic device 130.

Referring to FIG. 2, in operation 210, the electronic device 130 may receive a user's request. For example, the request of the user may correspond to a request that requests allocation of a virtual machine. For example, the request of the user is an electronic device being provided with a service from an electronic device 120-k (where k is any natural number greater than 1 and less than n) that is a micro data center in the cloud environment 100 ( It may be a request indicating that 110) is required to hand-off to another electronic device. For example, the request of the user may correspond to a change in the location of the electronic device 110 in the cloud environment 100. In various embodiments, the request of the user may be caused by explicit user input or may be caused by implicit user input.

In operation 220, the electronic device 130 may identify a type of workload of a service associated with the request of the user in response to receiving the request of the user. For example, if the service is a service provided from a web-based application, the type of workload may be identified based on the number of users connected to the web. For example, when the service is a service provided from a web-based application, the type of the workload may be represented as shown in Table 1 below.

Type of Application Number of concurrent users Type of workload Web-based 100 Low 200 Mid 300 High

In the example of Table 1, the electronic device 130 identifies the type of the workload as'low' when the number of users concurrently connected to the web is 200 or less, and the number of users concurrently connected to the web is more than 200 and 300 or less. In this case, the type of the workload is identified as'mid', and when the number of users simultaneously connected to the web exceeds 300, the type of the workload may be identified as'high'.

The type of workload illustrated through Table 1 is for convenience of description. Unlike the example of Table 1, the type of the workload may be set in the electronic device 130 differently depending on the type of application used to provide the service.

In various embodiments, the type of the workload is a target machine to provide a service to the electronic device 110 through the cloud environment 100 among the electronic devices 120-1 to 120-n. To determine, it can be used. In various embodiments, the type of the workload is status information of each of the electronic devices 120-1 to 120-n, which are a plurality of candidate machines capable of providing services to the electronic device 110. It may be used to determine values of a plurality of parameters constituting. The operation of the electronic device 130 executed to determine the values of the plurality of parameters will be described later through the description of FIGS. 3 to 5.

In operation 230, the electronic device 130 may determine, as a target machine, a candidate machine corresponding to the identified type of workload among the plurality of candidate machines, the electronic device 120-1 to the electronic device 120-n. have. For example, through the description of operation 240, in order to determine a target machine for performing migration for the virtual machine to be described later according to a policy configured in the electronic device 130, the electronic device 130, the plurality of Among the candidate machines, the electronic devices 120-1 to 120-n, a candidate machine corresponding to the identified workload type may be determined as a target machine. According to embodiments, the policy may be predefined by a service provider. According to embodiments, the policy may collect information on the heuristics of users of the cloud environment 100 using a neural network, and may be defined and refined based on the collected information. For another example, the electronic device 130 may include a cost (eg, energy migration) and migration performance (or migration QoS) consumed within the electronic device 120-1 to the electronic device 120-n corresponding to the data center. To reduce the interval between (quality of service), a target machine targeting a candidate machine corresponding to the identified workload type among the plurality of candidate machines, the electronic device 120-1 to the electronic device 120-n You can decide. For another example, the electronic device 130, the electronic device (120-1) to the electronic device (120-n) of the plurality of candidate machines, in order to perform migration according to the purpose of the service to suit the needs of the user ), a candidate machine corresponding to the identified workload type may be determined as a target machine.

In operation 240, the electronic device 130 may perform migration for the virtual machine to the determined candidate machine. Since the migration is performed with a candidate machine determined based on a policy appropriately defined for the purpose of the service, it is possible to guarantee enhanced QoS while consuming less resources. In addition, since the migration is performed with a candidate machine determined based on the type of the workload, it is possible to increase the efficiency of the service and ensure enhanced virtual machine performance. In addition, since the migration can provide services in an enhanced distributed cloud environment, it is possible to increase the benefit of a service provider.

As described above, the electronic device 130 according to various embodiments identifies the target machine to perform migration for the virtual machine based on the type of workload of the service, thereby enabling the enhanced cloud environment 100. Can provide. The electronic device 130 according to various embodiments may adaptively identify a target machine according to the type of the workload, thereby enhancing resource efficiency required for the migration for the virtual machine. .

3 is a flowchart illustrating an operation of an electronic device that determines a candidate machine as a target machine according to a type of workload according to various embodiments. The operation of the electronic device illustrated by the flow chart may be performed by the electronic device 130 or the processor of the electronic device 130 (eg, the processor 710 of FIG. 7) in the cloud environment 100 of FIG. 1. The operation of the electronic device illustrated by the flowchart may be executed by instructions stored in (or temporarily stored in) the memory 720 of the electronic device 130.

4 is a graph showing examples of parameters of state information of each of a plurality of candidate machines configured according to various embodiments.

5 is a graph illustrating an example of determining a candidate machine as a target machine according to a type of workload according to various embodiments.

Operations 310 to 330 of FIG. 3 may be related to operation 230 illustrated in FIG. 2.

Referring to FIG. 3, in operation 310, the electronic device 130 may acquire status information of each of a plurality of candidate machines (eg, the electronic devices 120-1 to 120-n). . In various embodiments, the status information may be configured by various parameters (or elements) considered according to the type of workload. For example, the state information may include a first parameter indicating a usage degree (or usage state, utilization rate) of a processor (for example, a central processing unit (CPU)) of each of the plurality of candidate machines, and the plurality of candidate machines A second parameter indicating the degree of utilization (or usage state, utilization rate) of each memory, a third parameter indicating the number of at least one migration in each of the plurality of candidate machines, and a cost for each of the plurality of candidate machines It may be configured as at least one of a fourth parameter or a fifth parameter indicating power required by each of the plurality of candidate machines. The first parameter and the second parameter may be configured in the status information as one integrated parameter. For example, the parameter in which the first parameter and the second parameter are integrated may indicate a resource utilization level (or utilization status, utilization rate) of each of the plurality of candidate machines.

In one embodiment, the state information may be obtained by the electronic device 130 every specified period. For example, the electronic device 130 may obtain the state information from each of the plurality of candidate machines, the electronic devices 120-1 to the electronic devices 120-n, at a specified period. In one embodiment, the status information may be obtained in response to receiving the request of the user. For example, the electronic device 130 requests the status information to each of the plurality of candidate machines, the electronic devices 120-1 to the electronic devices 120-n, in response to receiving the user's request. And, in response to the request for the status information, the status information may be obtained from each of the plurality of candidate machines, the electronic devices 120-1 to the electronic devices 120-n. However, it is not limited thereto.

In operation 320, the electronic device 130 may determine values of the plurality of parameters constituting the status information based on the type of the workload identified in operation 220. For example, the electronic device 130 may determine the values of the plurality of parameters by applying weights determined based on the type of the workload to the measurement values of the plurality of parameters. For example, referring to Table 1, when the type of the workload is'low', the electronic device 130 sets the weight applied to the fourth parameter to the first parameter, the second parameter, and the third. The values of the plurality of parameters may be determined by setting higher than the weights respectively applied to the parameters and the fifth parameter. For another example, referring to Table 1, when the type of the workload is'mid', the electronic device 130 determines weights applied to the third parameter and the fifth parameter among the plurality of parameters, respectively. The values of the plurality of parameters may be determined by setting higher values than the weights respectively applied to the first parameter, the second parameter, and the fourth parameter. For another example, referring to Table 1, when the type of the workload is'high', the electronic device 130 has a weight applied to each of the first and second parameters among the plurality of parameters. The values of the plurality of parameters may be determined by setting the values higher than the weights respectively applied to the third parameter to the fifth parameter. However, it is not limited thereto.

For example, referring to FIG. 4, the graph 400 is a measured value of a first parameter CU of each of the plurality of candidate machines (eg, A1 to A5), and a measured value of a second parameter MU. , The measured values of the third parameter NM, the fifth parameter PW, and the fourth parameter CT. The electronic device 130 graphs by applying weights corresponding to the type of the workload to the measured values of the plurality of parameters (eg, first to fifth parameters) expressed in the graph 400, respectively Data represented by 500 may be acquired.

For example, referring to FIG. 5, the graph 500 is a candidate that most corresponds to the type of the workload identified by the electronic device 130 among the plurality of candidate machines (eg, A1 to A5). Machine A2 is shown. In other words, the electronic device 130 may enhance resource efficiency required for migration for a virtual machine by applying weights to measurements of the plurality of parameters based on the type of the workload.

In one embodiment, the electronic device 130 may obtain information on resource utilization rate to determine the values of the plurality of parameters, and information on the resource utilization rate is Equation 1 and Equation 2 below. It can have the following restrictions.

'은 해당 가상 머신의 리소스 이용률을 의미하고, 'Requested util'은 요구된 리소스의 양을 의미하며, 'Total available'은 해당 가상 머신이 이용 가능한 리소스의 총량을 의미할 수 있다. In Equation 1, '

'Means the resource utilization rate of the corresponding virtual machine,'Requested util' means the amount of the requested resource, and'Total available' may mean the total amount of resources available to the virtual machine.

'은 가상 머신들을 포함하는 해당 물리적 머신(예: 상기 복수의 후보 머신들 중 하나)의 리소스 이용률을 의미하고, '

'은 상기 해당 물리적 머신 내에 포함된 상기 가상 머신들의 리소스 이용률의 총 합을 의미하며, 'Total available of the PM"은 상기 해당 물리적 머신이 이용가능한 리소스의 총량을 의미할 수 있다. In Equation 2, '

'Means a resource utilization rate of a corresponding physical machine including virtual machines (for example, one of the plurality of candidate machines), and'

'Means the total sum of resource utilization of the virtual machines included in the physical machine, and'Total available of the PM' may mean the total amount of resources available to the physical machine.

For example, the electronic device 130 may configure weights to be applied to each of the measured values of the first parameter to the fifth parameter, as shown in Table 2 and Table 3.

Relative importance Value Equal importance/quality One Somewhat more important/better 3 Definitely more important/better 5 Much more important/better 7 Extremely more important/better 9

M1 M2 ?? Mn M1 V1/V1 V1/V2 ?? V1/Vn M2 V2/V1 V2/V2 ?? V2/Vn ?? ?? ?? ?? ?? Mn Vn/V1 V2/Vn ?? Vn/Vn

In operation 330, the electronic device 130 may determine the candidate machine among the plurality of candidate machines as the target machine based on the determined values (eg, values to which the weights are respectively applied to the plurality of parameters). For example, referring to FIG. 5, as shown in the graph 500, the electronic device 130 determines the highest of the plurality of candidate machines (eg, A1, A2, A3, A4, and A5). A candidate machine having a value (eg, A2) may be determined as the target machine.

As described above, the electronic device 130 according to various embodiments includes a plurality of pieces of state information of the plurality of candidate machines (eg, the electronic devices 120-1 to 120-n). By defining the values of the plurality of parameters by applying the identified weights to the parameters, respectively, based on the type of workload, it is possible to provide an enhanced service in the cloud environment 100.

6 is a flowchart illustrating an operation of an electronic device that determines whether a QoS of a candidate machine determined as a target machine satisfies a target QoS according to various embodiments. The operation of the electronic device illustrated by the flow chart may be performed by the electronic device 130 or the processor of the electronic device 130 (eg, the processor 710 of FIG. 7) in the cloud environment 100 of FIG. 1. The operation of the electronic device illustrated by the flowchart may be executed by instructions stored in (or temporarily stored in) the memory 720 of the electronic device 130.

Operations 610 to 630 of FIG. 6 may be associated with operations 230 to 240 of FIG. 2.

Referring to FIG. 6, in operation 610, the electronic device 130 may determine the candidate machine corresponding to the identified type of workload as the target machine. For example, operation 610 may correspond to operation 230 of FIG. 2.

In operation 620, the electronic device 130 may identify whether the determined QoS of the candidate machine corresponds to the target QoS of the user's request (eg, the user's request in operation 210 of FIG. 2). For example, the electronic device 130 may estimate whether the QoS of the determined candidate machine corresponds to the target QoS of the user's request by monitoring the status of the determined candidate machine. For another example, the electronic device 130 may check whether the QoS of the determined candidate machine corresponds to the target QoS of the user's request through information exchange with the determined candidate machine. When it is determined that the determined QoS of the candidate machine corresponds to the target QoS of the user's request, the electronic device 130 may execute operation 630. If it is determined that the determined QoS of the candidate machine does not correspond to the target QoS of the user's request, the electronic device 130 may perform operation 610 again. For example, when it is identified that the determined candidate machine's QoS does not correspond to the target QoS of the user's request, the electronic device 130 distinguishes it from the candidate machine by executing operation 220 again or operation 610 again. Another candidate machine can be determined as the target machine.

In operation 630, when it is identified that the determined QoS of the candidate machine corresponds to the target QoS of the user's request, the electronic device 130 may perform migration for the virtual machine to the determined candidate machine. For example, operation 630 may correspond to operation 240 of FIG. 2.

As described above, the electronic device 130 according to various embodiments compares the target QoS of the user's request with the QoS of the candidate machine to be migrated, thereby targeting the candidate machine that satisfies the user's request. You can decide. The electronic device 130 according to various embodiments may provide an enhanced cloud service through the cloud environment 100 through the determination operation.

7 is a simplified block diagram of an electronic device according to various embodiments. The simplified block diagram of FIG. 7 may represent functional configurations of the electronic device 130 shown in FIG. 1. These functional configurations may be included in the electronic device 130 to perform the operations described through the description of FIGS. 2 to 6.

Referring to FIG. 7, the electronic device 130 may include a processor 710, a memory 720, and a communication module 730 (or communication circuit 730 ).

The processor 710 may control the overall operation of the electronic device 130. In various embodiments, the processor 710 may include a single processor core or a plurality of processor cores. For example, the processor 710 may include multi-cores such as dual-core, quad-core, and hexa-core. According to embodiments, the processor 710 may further include a cache memory located inside or outside.

The processor 710 may receive commands of other components of the electronic device 130, interpret the received commands, and perform calculations or process data according to the interpreted commands.

The processor 710 may process data or signals generated or generated in a program. For example, the processor 710 may request instructions, data, or signals from the memory 720 to execute or control a program. The processor 710 may write (or store) or update instructions, data, or signals to the memory 720 to execute or control a program.

The processor 710 may interpret and process messages, data, instructions, or signals received from the memory 720 or the communication module 730. The processor 710 may generate a new message, data, instruction, or signal based on the received message, data, instruction, or signal. The processor 710 may provide a processed or generated message, data, instruction, or signal to the memory 720 or the communication module 730.

All or part of the processor 710 is electrically or operatively coupled with other components (eg, the memory 720, the communication module 730) in the electronic device 130 ( It can be coupled with) or connected to.

According to embodiments, the processor 710 may be configured with one or more processors.

The memory 720 may store commands for controlling the electronic device 130, control command codes, control data, or user data. For example, the memory 720 may include an application program, an operating system (OS), middleware, and a device driver.

The memory 720 may include one or more of volatile memory or non-volatile memory. Volatile memory includes dynamic random access memory (DRAM), static RAM (SRAM), synchronous DRAM (SDRAM), phase-change RAM (PRAM), magnetic RAM (MRAM), resistive RAM (RRAM), and ferroelectric RAM (FeRAM). It can contain. The nonvolatile memory may include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, and the like.

The memory 720 includes a nonvolatile medium such as a hard disk drive (HDD), a solid state disk (SSD), an embedded multi media card (eMMC), and universal flash storage (UFS). It can contain.

The communication module 730 establishes a wired or wireless communication channel between the electronic device 130 and an external electronic device (eg, the electronic devices 120-1 to 120-n), and through the established communication channel. Can support communication performance. According to one embodiment, the communication module 730 may include a wireless communication circuit (eg, a cellular communication circuit, a short-range wireless communication circuit, or a global navigation satellite system (GNSS) communication circuit) or a wired communication circuit (eg, a local area network (LAN). ) Includes a communication circuit, or a power line communication circuit, of which a first network (e.g., a short-range communication network such as Bluetooth, WiFi direct, or infrared data association (IrDA)) or a second network (e.g. : Can communicate with an external electronic device through a cellular network, the Internet, or a telecommunication network such as a computer network (eg, LAN or WAN). The above-described various types of communication modules 730 may be implemented as one chip or may be implemented as separate chips.

The electronic device 130 in the cloud environment 100 according to various embodiments as described above includes a communication module 730, at least one processor 710, and at least one memory 720 for storing instructions. And at least one processor 710, upon executing the instructions, receives a user request and, in response to the reception, identifies a type of workload of a service associated with the request of the user Then, a candidate machine corresponding to the identified workload type among a plurality of candidate machines in the cloud environment is determined as a target machine, and the communication module uses migration for a virtual machine as the determined candidate machine It can be configured to perform.

In various embodiments, at least one processor 710, in response to the reception, obtains status information of each of the plurality of candidate machines, and based on the identified type of workload, the status information It may be configured to determine values of a plurality of parameters to configure, and to determine the candidate machine among the plurality of candidate machines as the target machine based on the determined values.

In one embodiment, the plurality of parameters include a first parameter indicating a degree of use of each of the plurality of candidate machines, a second parameter indicating a level of use of each of the plurality of candidate machines, and the plurality of parameters. A third parameter indicating the number of at least one migration in each of the candidate machines, a fourth parameter indicating the cost of each of the plurality of candidate machines, and a fifth parameter indicating the power required by each of the plurality of candidate machines. It can contain.

In one embodiment, at least one processor 710 is configured to respectively determine values of the plurality of parameters by applying the highest weight to a parameter corresponding to the identified workload type among the plurality of parameters. Can be.

In one embodiment, at least one processor 710 checks whether the determined candidate machine's quality of service (QoS) corresponds to the target QoS of the user's request, and the determined candidate machine's QoS is Based on confirming that it corresponds to the target QoS, it may be configured to perform the migration. For example, at least one processor 710 is further configured to bypass performing the migration and re-determine the target machine based on confirming that the determined candidate machine's QoS does not correspond to the target QoS. Can be configured.

In various embodiments, the type of workload can be identified based on the number of users using the service over the web. In one embodiment, the plurality of parameters include a first parameter indicating a degree of use of each of the plurality of candidate machines, a second parameter indicating a level of use of each of the plurality of candidate machines, and the plurality of parameters. A third parameter indicating the number of at least one migration in each of the candidate machines, a fourth parameter indicating the cost of each of the plurality of candidate machines, and a fifth parameter indicating the power required by each of the plurality of candidate machines. The type of workload may include a weight applied to the fourth parameter when the number of users is less than a first threshold, the first parameter, the second parameter, the third parameter, and the fifth The first type, which is set higher than the weights applied to each parameter, and the number of users applied to the third parameter and the fifth parameter when the number of users is greater than or equal to the first threshold and less than the second threshold, are applied to the first The second type to set higher than the weights applied to the parameter, the second parameter, and the fourth parameter, and the weights applied to the first parameter and the second parameter respectively are the third parameter to the fifth It may include a third type that is set higher than the weight applied to each parameter.

In various embodiments, the request of the user may correspond to an input requiring allocation of the virtual machine.

In various embodiments, the request of the user may be caused by a change of the user's location from a first data center in the cloud environment to a second data center in the cloud environment distinct from the first data center. have.

8 is a simplified block diagram of modules of an electronic device included in a cloud environment according to various embodiments. The simplified block diagram of FIG. 8 may represent functional modules of the electronic device 130 shown in FIG. 1. These functional modules may be included in the electronic device 130 to perform the operations described through the description of FIGS. 2 to 6.

Referring to FIG. 8, the electronic device 130 is a module, and may include a monitoring unit 810, a workload classification unit 820, a virtual machine policy determination unit 830, and a virtual machine migration control unit 840. have.

The monitoring unit 810 may obtain status information of the electronic devices 120-1 to 120-n, which are a plurality of candidate machines. For example, the monitoring unit 810 may acquire the status information through a communication connection with each of the plurality of candidate machines, the electronic device 120-1 to the electronic device 120-n. In various embodiments, the status information may include data on measured values of the first parameter to the fifth parameter. The monitoring unit 810 may provide the status information to the workload classification unit 820.

The workload classifying unit 820 may obtain the status information from the monitoring unit 810. On the other hand, the workload classification unit 820, the type of application provided through the cloud environment 100, the type of service provided in the cloud environment 100, or the characteristics of the service provided in the cloud environment 100 Based on at least one of the, it is possible to classify the type of workload. For example, referring to Table 1, the workload classification unit 820 classifies the type of the workload as'low' when the number of users simultaneously connected to the web is 200 or less, and users simultaneously connected to the web. When the number of users is more than 200 and less than 300, the type of the workload is classified as'mid', and when the number of users simultaneously connected to the web is more than 300, the type of workload can be classified as'high'. The workload classifying unit 820 may provide the state information and information on the classified type to the virtual machine policy determination unit 830.

The virtual machine policy determination unit 830 may obtain the status information and information about the classified type from the workload classification unit 820. The virtual machine policy determining unit 830 applies the weights to the measured values of the parameters, based on the obtained information, so that the plurality of candidate machines are the electronic devices 120-1 to 120- n), one electronic device may be determined as the target machine. The virtual machine policy determination unit 830 may provide information on the determined target machine to the virtual machine migration control unit 840.

The virtual machine migration control unit 840 may obtain information on the determined target machine from the virtual machine policy determination unit 840. The virtual machine migration control unit 840 may perform migration for the virtual machine to the target machine. For example, the virtual machine migration control unit 840 may perform migration for the virtual machine from the electronic device 120-k to the electronic device 120-n. For example, the virtual machine migration control unit 840 may perform the migration for the virtual machine based on identifying that the determined QoS of the target machine corresponds to the QoS of the user's request.

As described above, the electronic device 130 according to various embodiments may provide higher resource efficiency by determining a target device for migration based on a policy.

Methods according to embodiments described in the claims or specification of the present disclosure may be implemented in the form of hardware, software, or a combination of hardware and software.

When implemented in software, a computer readable storage medium storing one or more programs (software modules) may be provided. One or more programs stored in a computer-readable storage medium are configured to be executable by one or more processors in an electronic device. One or more programs include instructions that cause an electronic device to execute methods according to embodiments described in the claims or specification of this disclosure.

Such programs (software modules, software) include random access memory, non-volatile memory including flash memory, read only memory (ROM), and electrically erasable programmable ROM. (EEPROM: electronic erasable programmable read only memory), magnetic disc storage device, compact disc-ROM (CD-ROM), digital versatile discs (DVDs) or other forms It can be stored in an optical storage device, a magnetic cassette. Or, it may be stored in a memory composed of some or all of these combinations. Also, a plurality of configuration memories may be included.

In addition, the program may be through a communication network composed of a communication network such as the Internet, an intranet, a local area network (LAN), a wide LAN (WLAN), or a storage area network (SAN), or a combination thereof. It may be stored in an attachable storage device that can be accessed. Such a storage device can access a device performing an embodiment of the present disclosure through an external port. In addition, a separate storage device on the communication network may access a device performing an embodiment of the present disclosure.

In the specific embodiments of the present disclosure described above, elements included in the disclosure are expressed in singular or plural according to the specific embodiments presented. However, the singular or plural expressions are appropriately selected for the situation presented for convenience of description, and the present disclosure is not limited to the singular or plural components, and even the components expressed in plural are composed of singular or Even the expressed components may be composed of a plurality.

Meanwhile, in the detailed description of the present disclosure, specific embodiments have been described. However, various modifications are possible without departing from the scope of the present disclosure. Therefore, the scope of the present disclosure should not be limited to the described embodiments, but should be determined not only by the scope of claims to be described later, but also by the scope and equivalents of the claims.

Claims (20)

In an electronic device in a cloud environment,
Communication module;
At least one processor; And
It contains at least one memory for storing instructions,
When the at least one processor executes the instructions,
Receiving the user's request,
In response to the reception, identify the type of workload of the service associated with the request of the user,
A candidate machine corresponding to the identified type of workload among a plurality of candidate machines in the cloud environment is determined as a target machine,
An electronic device configured to perform migration for a virtual machine to the determined candidate machine using the communication module.
The method according to claim 1, wherein the at least one processor,
In response to the reception, obtain status information of each of the plurality of candidate machines,
Based on the identified type of workload, values of a plurality of parameters constituting the status information are determined,
Based on the determined values, the electronic device is configured to determine the candidate machine among the plurality of candidate machines as the target machine.
The method according to claim 2, The plurality of parameters,
The first parameter indicating the degree of use of the processor of each of the plurality of candidate machines, the second parameter indicating the level of use of the memory of each of the plurality of candidate machines, the number of at least one migration in each of the plurality of candidate machines An electronic device including a third parameter indicating, a fourth parameter indicating the cost of each of the plurality of candidate machines, and a fifth parameter indicating the power required by each of the plurality of candidate machines.
The method according to claim 2, wherein the at least one processor,
An electronic device configured to determine values of each of the plurality of parameters by applying the highest weight to a parameter corresponding to the identified workload type among the plurality of parameters.
The method according to claim 1, wherein the at least one processor,
It is checked whether the determined quality of service (QoS) of the candidate machine corresponds to the target QoS of the request of the user,
And an electronic device configured to perform the migration based on confirming that the determined QoS of the candidate machine corresponds to the target QoS.
The method according to claim 5, wherein the at least one processor,
And configured to bypass performing the migration and re-determine the target machine based on confirming that the determined QoS of the candidate machine does not correspond to the target QoS.
The method according to claim 1, wherein the type of workload,
An electronic device that is identified based on the number of users using the service over the web.
The method according to claim 7, wherein the plurality of parameters,
The first parameter indicating the degree of use of the processor of each of the plurality of candidate machines, the second parameter indicating the level of use of the memory of each of the plurality of candidate machines, the number of at least one migration in each of the plurality of candidate machines And a third parameter indicating the cost of each of the plurality of candidate machines, and a fifth parameter indicating the power required by each of the plurality of candidate machines,
The type of workload is,
Setting the weight applied to the fourth parameter to be higher than the weights respectively applied to the first parameter, the second parameter, the third parameter, and the fifth parameter when the number of users is less than a first threshold value; 1 type, when the number of users is greater than or equal to the first threshold and less than the second threshold, weights applied to the third parameter and the fifth parameter are respectively applied to the first parameter, the second parameter, and the fourth parameter A second type that is set higher than the weights applied to each, and a weight that is set higher than the weights respectively applied to the third parameter to the fifth parameter, respectively. Electronic device containing three types.
The method according to claim 1, The request of the user,
An electronic device corresponding to an input requesting the allocation of the virtual machine.
The method according to claim 1, The request of the user,
An electronic device caused by a change of the user's location from a first data center in the cloud environment to a second data center in the cloud environment distinct from the first data center. A method for operating an electronic device in a cloud environment,
Receiving a user request,
In response to the receiving, identifying a type of workload of the service associated with the request of the user,
Determining a candidate machine corresponding to the identified type of workload among a plurality of candidate machines in the cloud environment as a target machine;
And performing migration for the virtual machine to the determined candidate machine using the communication module.
The method of claim 11, wherein the operation of determining the candidate mother machine is the target machine,
In response to the reception, obtaining status information of each of the plurality of candidate machines,
Determining values of a plurality of parameters constituting the status information, based on the identified type of workload;
And determining the candidate machine among the plurality of candidate machines as the target machine based on the determined values.
The method according to claim 12, The plurality of parameters,
The first parameter indicating the degree of use of the processor of each of the plurality of candidate machines, the second parameter indicating the level of use of the memory of each of the plurality of candidate machines, the number of at least one migration in each of the plurality of candidate machines And a third parameter representing, a fourth parameter representing the cost of each of the plurality of candidate machines, and a fifth parameter representing the power required by each of the plurality of candidate machines.
The method of claim 12, wherein determining the values of the plurality of parameters comprises:
And determining values of each of the plurality of parameters by applying the highest weight to a parameter corresponding to the identified workload type among the plurality of parameters.
The method of claim 11, wherein performing the migration,
Confirming whether the determined quality of service (QoS) of the candidate machine corresponds to a target QoS of the request of the user;
And performing the migration based on confirming that the determined QoS of the candidate machine corresponds to the target QoS.
The method according to claim 15,
And based on confirming that the determined QoS of the candidate machine does not correspond to the target QoS, bypassing performing the migration and determining the target machine again.
The method of claim 11, wherein the type of workload,
A method that is identified based on the number of users using the service over the web.
The method according to claim 17, wherein the plurality of parameters,
The first parameter indicating the degree of use of the processor of each of the plurality of candidate machines, the second parameter indicating the level of use of the memory of each of the plurality of candidate machines, the number of at least one migration in each of the plurality of candidate machines And a third parameter indicating the cost of each of the plurality of candidate machines, and a fifth parameter indicating the power required by each of the plurality of candidate machines,
The type of workload is,
Setting the weight applied to the fourth parameter to be higher than the weights respectively applied to the first parameter, the second parameter, the third parameter, and the fifth parameter when the number of users is less than a first threshold value; 1 type, when the number of users is greater than or equal to the first threshold and less than the second threshold, weights applied to the third parameter and the fifth parameter are respectively applied to the first parameter, the second parameter, and the fourth parameter A second type that is set higher than the weights applied to each, and a weight that is set higher than the weights respectively applied to the third parameter to the fifth parameter, respectively. How to include 3 types.
The method according to claim 11, The request of the user,
A method corresponding to an input requesting the allocation of the virtual machine.
A non-transitory computer readable storage medium,
When executed by one or more processors of an electronic device in a cloud environment,
Receiving the user's request,
In response to the reception, identify the type of workload of the service associated with the request of the user,
A candidate machine corresponding to the identified type of workload among a plurality of candidate machines in the cloud environment is determined as a target machine,
A non-transitory computer readable storage medium storing one or more programs including instructions causing the electronic device to perform migration for a virtual machine to the determined candidate machine using the communication module.

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