KR20210148751A - Network operating apparatus, and control method thereof - Google Patents

Abstract

The present invention relates to a network managing device and an operating method thereof which classify individual users into groups according to a traffic pattern for each user in a network and support network computing equipment, which is allocated to a group, to be shared and used within the group, thereby achieving reduction of network configuration costs (CAPEX) and furthermore realizing optimization in terms of network scalability through this.

Description

Network operating device and its operation method {NETWORK OPERATING APPARATUS, AND CONTROL METHOD THEREOF}

The present invention relates to a method of supporting multiple users to share and use a computing device in a network (hereinafter, referred to as a network computing device).

The network is composed of a combination of network computing devices in charge of various calculation functions, and the cost of the network computing equipment occupies a large proportion in the network configuration cost.

In relation to this, in the existing network configuration, it is common to have a 1:1 structure in which a network computing device is individually allocated to each user.

However, in an actual network environment, users show different usage trends according to time.

For this reason, in the existing network configuration in which network computing equipment is allocated to each user, a burden of wasting network configuration resources and increasing network configuration costs may result, which in turn greatly limits network scalability in terms of cost and management.

Accordingly, the present invention intends to propose a sharing method of network computing equipment optimized in terms of network scalability.

The present invention was created in view of the above circumstances, and an object of the present invention is to support multiple users to share and use network computing equipment for optimization in terms of network scalability.

The network operation device according to an embodiment of the present invention for achieving the above object, by creating groups as many as the number of operations for individually allocating the network computing equipment according to the determination of the number of operations for the network computing equipment, an allocator for allocating users who share and use the network computing equipment for each group; and a control unit controlling the number of operations determined for the network computing equipment to be changed or reflected in an operation policy based on the network configuration cost incurred when each group shares and uses the network computing equipment. do it with

Specifically, the network operating device calculates the cost incurred when processing the maximum traffic as many as the total number of users based on the cost according to the computing power required for traffic processing in the network computing device and the predefined maximum traffic. It may further include a determining unit for determining the minimum number of network computing equipment as the number of operation.

Specifically, the allocator may allocate users to each group so that the maximum traffic per user in the group does not overlap each other on the time axis based on the maximum traffic per user per user during the past setting period.

Specifically, the allocator may allocate users to each group such that the sum of the maximum traffic for each user in the group becomes the minimum size.

Specifically, when the maximum traffic for each user in the group overlaps on the time axis, the allocator may allocate users to each group so that the size of the overlapped maximum traffic becomes the minimum size.

Specifically, the network operating apparatus may further include a calculation unit for calculating the network configuration cost by adding up costs according to computing power required for user traffic processing in each group.

Specifically, when the network configuration cost calculated at a past time point adjacent to the current time point does not exist, or the network configuration cost calculated at the current time point is less than or equal to the network configuration cost calculated at the past time point, the current It can be controlled to change the number of operation of the network computing equipment to a number of operations smaller than the number of operations of the current time by a set number for a future viewpoint adjacent to the viewpoint.

Specifically, the control unit, there is a network configuration cost calculated on the basis of the number of operations more than the number of operations of the current time in the past time adjacent to the current time by a set number, and the network configuration cost calculated at the current time is When the network configuration cost calculated at the past time point is exceeded, the network calculation device may be operated with the number of operations determined at the past time point.

In order to achieve the above object, a method of operating a network operation device according to an embodiment of the present invention for achieving the above object is to create a group equal to the number of operations for individually allocating the network computing equipment according to the determination of the number of operations for the network computing equipment, , an assignment step of allocating users who share and use the network computing equipment for each created group; and a control step of changing the number of operations determined for the network computing equipment or controlling it to be reflected in an operation policy, based on the network configuration cost incurred when each group shares and uses the network computing equipment. characterized.

Specifically, the method minimizes the cost incurred when processing the maximum traffic for the total number of users based on the cost according to the computing power required for traffic processing in the network computing device and the predefined maximum traffic. The method may further include a determining step of determining the number of network computing devices to be operated as the number of operations.

Specifically, in the allocating step, users may be assigned to each group so that the maximum traffic per user in the group does not overlap each other on the time axis based on the maximum traffic per user per user during the past setting period.

Specifically, in the allocating step, the user may be assigned to each group such that the sum of the maximum traffic for each user in the group becomes the minimum size.

Specifically, in the allocating step, when the maximum traffic for each user in the group overlaps on the time axis, the user may be allocated to each group so that the size of the overlapped maximum traffic becomes the minimum size.

Specifically, the method may further include a calculation step of calculating the network configuration cost by adding up costs according to computing power required for user traffic processing in each group.

Specifically, in the control step, when there is no network configuration cost calculated at a past time point adjacent to the current time point, or when the network configuration cost calculated at the current time point is less than or equal to the network configuration cost calculated at the past time point, the It can be controlled to change the number of operation of the network computing device to a number of operations smaller than the number of operations at the current time by a set number for a future time point adjacent to the current time point.

Specifically, in the control step, there is a network configuration cost calculated based on the number of operations greater than the number of operations of the current time in the past time adjacent to the current point in time, and the network configuration cost calculated at the current point in time. When the network configuration cost calculated at the past time is exceeded, the network calculation equipment may be operated with the number of operations determined at the past time point.

Accordingly, in the network operating device and the operating method of the present invention, each user is classified into a group according to a traffic pattern for each user in the network, and by supporting the shared use of the network computing equipment allocated in the group within the group, the network configuration cost ( CAPEX) can be reduced, and further optimization in terms of network scalability can be achieved through this.

1 is an exemplary diagram of a static structure of a network sharing environment according to an embodiment of the present invention;
2 is a schematic configuration diagram of a network operating apparatus according to an embodiment of the present invention;
3 is a flowchart for explaining a method of operating a network operating apparatus according to an embodiment of the present invention.

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

In one embodiment of the present invention, a sharing scheme for network computing equipment in charge of various computational functions in a network is dealt with.

Since the network configuration cost (CAPEX) is a very important performance measure that directly affects network scalability, a cost-effective network configuration and structure is required, especially in high-performance networks.

The network may be composed of a user, a network computing device, a switching device, and a link connecting each component.

In particular, network computing equipment can improve network performance by providing various networking functions.

Since the cost of such network computing equipment occupies a very large part of the network configuration cost (CAPEX), efficient configuration of the network computing equipment is an essential element to build a scalable network.

Meanwhile, in relation to this, in the existing network configuration, it is common to have a 1:1 structure in which a network computing device is individually allocated to each user.

However, in an actual network environment, users show different usage trends according to time.

Therefore, in the existing network configuration in which network computing equipment is allocated to each user, a burden of wasting network configuration resources and increasing network configuration costs may result, which in turn greatly limits network scalability in terms of cost and management.

Accordingly, an embodiment of the present invention intends to propose a sharing method of network computing equipment optimized in terms of network scalability.

In this regard, FIG. 1 exemplarily shows a static structure of a network sharing environment according to an embodiment of the present invention.

In a network sharing environment according to an embodiment of the present invention, after users are grouped using an arbitrary algorithm, users of the same group can share the same network computing equipment with each other.

In this static structure, the combination of the determined user group and the network computing device assigned to it does not change, and therefore, only a link to the assigned network computing device can be established in each user.

As a result, multiple users can be assigned to one network computing device, so this can be called a 1:N common method, which is different from the existing 1:1 scheme in which one network computing device is allocated to each user, compared to the number of network computing devices. It can be seen as a structure that enables the construction of a cost-saving network by reducing the number of network links and reducing the number of network links.

As such, in one embodiment of the present invention, network scalability optimization can be achieved based on the static structure of the network sharing environment. Hereinafter, the configuration of the network operating device 100 for realizing this will be described in more detail. do.

2 shows a schematic configuration of a network operating apparatus 100 according to an embodiment of the present invention.

As shown in FIG. 2 , the network operating device 100 according to an embodiment of the present invention includes a determining unit 10 for determining the number of network operating equipment to be operated, an allocating unit 20 for allocating users for each group, It may include a calculation unit 30 for calculating the network configuration cost, and a control unit 40 for controlling a change in the number of operation of the network operation equipment, and the like.

The entire configuration or at least a part of the configuration of the network operating device 100 including the above determination unit 10, allocator 20, calculation unit 30, and control unit 40 is implemented in the form of a software module or a hardware module. Alternatively, it may be implemented in a form in which a software module and a hardware module are combined.

Here, the software module may be understood as, for example, a command executed by a processor performing an operation in the network operating device 100 , and these commands may have a form mounted in a memory in the network operating device 100 . There will be.

Meanwhile, the network operating apparatus 100 according to an embodiment of the present invention may further include a configuration of the communication unit 50 for data transmission and reception in addition to the aforementioned configuration.

Here, the communication unit 50 includes, but is not limited to, for example, an antenna system, an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a codec (CODEC) chipset, and a memory, etc. All known circuits to be performed may be included.

Such a configuration of the network operating device 100 may be implemented in the form of one of the components constituting the network together with the network computing equipment, or may be implemented in the form of a server connectable through the network and a wired/wireless communication network.

For reference, when the network operating device 100 is implemented in the form of a server, it may be implemented in the form of, for example, a web server, a database server, a proxy server, etc. One or more of a variety of software that allows it to run on another network may be installed, which may also be implemented as a computerized system.

After all, the network operating device 100 according to an embodiment of the present invention can support multiple users to share and use the network computing equipment through the above-described configuration. Hereinafter, within the network operating device 100 for realizing this A more detailed description of each configuration will be continued.

The determination unit 10 performs a function of determining the number of network operation equipment to be operated.

Specifically, the determination unit 10 determines the number of network computing devices capable of minimizing the cost incurred when processing the maximum traffic corresponding to the total number of users as the number of operation.

At this time, the determining unit 10 minimizes the cost incurred when processing the maximum traffic as many as the total number of users based on the cost according to the computing power required for traffic processing in the network computing equipment and the predefined maximum traffic. The number of possible can be determined by the number of operation of network computing equipment.

Here, the cost according to the computing power required for traffic processing can be confirmed from the result of a predefined exponential function between the computing power and cost of commercial equipment, and in the case of maximum traffic, it can be confirmed from the result of monitoring each user's past traffic can be

On the other hand, the method of determining the operation number (S) of such network computing equipment can be expressed, for example, as in [Equation 1] below.

[Formula 1]

는 네트워크 계산장비의 컴퓨팅 성능에 따른 비용 함수이며, N은 네트워크 계산장비의 사용을 필요로 하는 전체 사용자 수로 이해될 수 있다.Here, S ₀ is the number of operations initially determined in the first round (k = 1) according to [Equation 2] below regarding the round (k) in which the number of operations (S) is determined,

is a cost function according to the computing power of the network computing equipment, and N can be understood as the total number of users who need to use the network computing equipment.

[Equation 2]

The allocator 20 performs a function of allocating users for each group.

More specifically, when the determination of the number of operations for the network computing equipment is completed, the allocation unit 20 creates as many groups as the number of operations for individually allocating the network computing equipment, and assigns users to each created group. do.

At this time, the allocator 20 assigns users to each group so that the maximum traffic per user in the group does not overlap each other on the time axis based on the maximum traffic per user on the time axis confirmed during the past setting period. proceed

To this end, the allocator 20 may sort the time axis maximum traffic for each user identified during the past set period in a descending order in an arbitrary queue, and may proceed with intragroup allocation to each user according to the sorted order.

In particular, in allocating users within the group, the allocator 20 allocates users to each group so that the sum of the maximum traffic for each user in the group becomes the minimum size. 3] can be expressed as

[Equation 3]

는 사용자 i의 시간 축 트래픽 양이며,

는 그룹 j에 기 할당된 사용자들의 시간 축에서의 트래픽 합산 값으로 이해될 수 있다.here,

is the amount of time axis traffic for user i,

may be understood as a traffic sum value on the time axis of users pre-allocated to group j.

In this way, allocating users to each group so that the sum of the maximum traffic for each user in the group becomes the minimum size means that the difference in the size of the sum of the maximum traffic for each user in each group is minimized. It can also be interpreted as an operation of allocating.

On the other hand, in one embodiment of the present invention, in the user assignment for each group, in principle, users are assigned to each group so that the maximum traffic for each user in the group does not overlap each other on the time axis is maintained in principle, but it is inevitable. Of course, if the maximum traffic for each user within a group overlaps on the time axis, users can be assigned to each group so that the overlapped maximum traffic has the minimum size.

The calculation unit 30 performs a function of calculating the network configuration cost.

More specifically, when the user allocation for each group is completed, the calculator 30 calculates the network configuration cost by adding up the cost according to the computing power required for the user's traffic processing in each group.

Here, the result of allocating users to each group may be named _{G k} , which is the group assignment result in the current round (k), and the configuration cost (C _{k ) for this G k} is, for example, as in [Equation 4] below. can be calculated.

[Equation 4]

는 네트워크 계산장비의 컴퓨팅 성능에 따른 비용 함수이며,

는 사용자 i의 시간 축에서의 트래픽 양을 말한다.here,

is a cost function according to the computing power of network computing equipment,

is the amount of traffic on the time axis of user i.

The control unit 40 performs a function of controlling the change of the number of operations determined for the network computing equipment.

More specifically, the control unit 40 controls the change of the number of operations determined for the network computing equipment or the reflection of the operation policy based on the network configuration cost incurred when the network computing equipment is shared and used in each group.

At this time, the control unit 40 determines that the network configuration cost calculated in the past round (time point) adjacent to the current round (time point) does not exist (in the case of round 1), or there is a past round adjacent to the current round, but the current round If the network configuration cost calculated in is less than or equal to the network configuration cost calculated in the past round, set the number of network computing devices in operation for the current round and the neighboring future round (time point) rather than the number of operation in the current round (e.g. 1 piece) ) can be controlled to change the number of operations as small as

Here, the method of controlling to change the number of operation of network computing equipment to the number of operations less than the number of operations of the current round by a set number (eg, one) may be expressed, for example, as in [Equation 5] below.

[Equation 5]

On the other hand, the control unit 40 has a network configuration cost calculated by using the number of operations as many as a set number (eg, one) than the number of operations of the current round in the past round adjacent to the current round, and the calculated network configuration cost exists in the current round. When the network configuration cost exceeds the network configuration cost calculated in the past round, it is possible to control the reflection of the operation policy so that the network computing device can be operated with the number of operations determined in the past round.

Here, the fact that the network configuration cost calculated in the current round is higher than the network configuration cost calculated in the past round means that even though the number of network computing devices in the current round is smaller than the number of operations in the past, each network computing device is processing It can be understood that the cost is increased due to the improvement in computing performance according to the increase in the amount of traffic.

As described above, according to the configuration of the network operating device 100 according to an embodiment of the present invention, each user is classified into a group according to a traffic pattern for each user in the network, and the network calculation equipment assigned to the group is placed in the group. By supporting shared use in the network, it is possible to achieve reduction in network configuration cost (CAPEX), and furthermore, it can be seen that optimization in terms of network scalability can be achieved through this.

Hereinafter, an operating method of the network operating apparatus 100 according to an embodiment of the present invention will be described with reference to FIG. 3 .

First, the determination unit 10 determines the number of network computing devices capable of minimizing the cost incurred when processing the maximum traffic corresponding to the total number of users as the number of operations (S10).

At this time, the determining unit 10 minimizes the cost incurred when processing the maximum traffic as many as the total number of users based on the cost according to the computing power required for traffic processing in the network computing equipment and the predefined maximum traffic. The number of possible can be determined by the number of operation of network computing equipment.

Here, the cost according to the computing power required for traffic processing can be confirmed from the result of a predefined exponential function between the computing power and cost of commercial equipment, and in the case of maximum traffic, it can be confirmed from the result of monitoring each user's past traffic can be

Then, when the determination of the number of operations for the network computing equipment is completed, the allocator 20 creates as many groups as the number of operations for individually allocating the network computing equipment, and assigns users to each created group ( S20-S40).

At this time, the allocator 20 assigns users to each group so that the maximum traffic per user in the group does not overlap each other on the time axis based on the maximum traffic per user on the time axis confirmed during the past setting period. proceed

To this end, the allocator 20 sorts the maximum traffic on the time axis for each user identified during the past set period in a descending order in a random queue, and proceeds to allocate within the group to each user according to the sorted order.

In particular, in allocating users within the group, the allocator 20 may allocate users to each group such that the sum of the maximum traffic for each user in the group becomes the minimum size.

In this way, allocating users to each group so that the sum of the maximum traffic for each user in the group becomes the minimum size means that the difference in the size of the sum of the maximum traffic for each user in each group is minimized. It can also be interpreted as an allocating operation.

On the other hand, in one embodiment of the present invention, in the user assignment for each group, in principle, users are assigned to each group so that the maximum traffic for each user in the group does not overlap each other on the time axis is maintained in principle, but it is inevitable. Of course, if the maximum traffic for each user within a group overlaps on the time axis, users can be assigned to each group so that the overlapped maximum traffic has the minimum size.

Furthermore, when the user allocation for each group is completed, the calculation unit 30 calculates the network configuration cost by adding up the cost according to the computing power required for user traffic processing in each group (S50).

Thereafter, the control unit 40 controls the change of the number of operations determined for the network computing equipment or the reflection of the operation policy of the number of operations based on the network configuration cost incurred when the network computing equipment is shared and used in each group ( S60-S90).

At this time, the controller 40 determines that the network configuration cost calculated in the past round (time point) adjacent to the current round (time point) does not exist (in case of round 1), or there is a past round adjacent to the current round, but the current round If the network configuration cost calculated in is less than or equal to the network configuration cost calculated in the past, set the number of operation of network computing equipment for the current round and the neighboring future round (time point) rather than the number of operation of the current round (eg, 1 piece) ) can be controlled to change the number of operations as small as

On the other hand, the control unit 40 has a network configuration cost calculated by using the number of operations as many as a set number (eg, one) than the number of operations of the current round in the past round adjacent to the current round, and the calculated network configuration cost exists in the current round. When the network configuration cost exceeds the network configuration cost calculated in the past round, it is possible to control the reflection of the operation policy so that the network computing equipment can be operated with the number of operations determined in the past round.

Here, the fact that the network configuration cost calculated in the current round is higher than the network configuration cost calculated in the past round means that even though the number of network computing devices in the current round is less than the number of operations in the past round, each network computing device processes It can be understood that the cost is increased due to the improvement in computing performance according to the increase in the amount of traffic.

As described above, according to the method of operation of the network operating apparatus 100 according to an embodiment of the present invention, each user is classified into a group according to a traffic pattern for each user in the network, and the network calculation equipment assigned to the group is grouped. By supporting shared use within, it is possible to achieve reduction in network configuration cost (CAPEX), and furthermore, it can be seen that optimization in terms of network scalability can be achieved through this.

On the other hand, the functional operations and implementations of the subject matter described in this specification are implemented as digital electronic circuits, computer software, firmware, or hardware including the structures disclosed in this specification and structural equivalents thereof, or at least one of them It can be implemented by combining. Implementations of the subject matter described herein are one or more computer program products, ie, one or more modules of computer program instructions encoded on a tangible program storage medium for processing or execution by an operation of a processing system. can be implemented.

The computer readable medium may be a machine readable storage device, a machine readable storage substrate, a memory device, a composition of matter that affects a machine readable radio wave signal, or a combination of one or more thereof.

As used herein, the term “system” or “device” encompasses all apparatuses, devices, and machines for processing data, including, for example, programmable processors, computers, or multiple processors or computers. A processing system may include, in addition to hardware, code that, upon request, forms an execution environment for a computer program, such as code constituting processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more thereof. .

A computer program (also known as a program, software, software application, script, or code) may be written in any form of programming language, including compiled or interpreted language or declarative or procedural language, as a stand-alone program or module; It can be deployed in any form, including components, subroutines, or other units suitable for use in a computer environment. A computer program does not necessarily correspond to a file in a file system. A program may be in a single file provided to the requested program, or in multiple interacting files (eg, files that store one or more modules, subprograms, or portions of code), or portions of files that hold other programs or data. (eg, one or more scripts stored within a markup language document). The computer program may be deployed to be executed on a single computer or multiple computers located at one site or distributed over a plurality of sites and interconnected by a communication network.

On the other hand, computer-readable media suitable for storing computer program instructions and data are, for example, semiconductor memory devices such as EPROM, EEPROM and flash memory devices, such as magnetic disks such as internal hard disks or external disks, magneto-optical disks and CDs. -Can include all types of non-volatile memory, media and memory devices, including ROM and DVD-ROM disks. The processor and memory may be supplemented by, or integrated into, special purpose logic circuitry.

An implementation of the subject matter described herein may include a backend component, such as a data server, or a middleware component, such as an application server, such as a web browser or graphical user that allows a user to interact with an implementation of the subject matter described herein, for example. It may be implemented in a front-end component, such as a client computer having an interface, or in a computing system including any combination of one or more of such back-end, middleware, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication, such as, for example, a communication network.

While this specification contains numerous specific implementation details, they should not be construed as limitations on the scope of any invention or claim, but rather as descriptions of features that may be specific to particular embodiments of particular inventions. should be understood Likewise, certain features that are described herein in the context of separate embodiments may be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment may also be implemented in multiple embodiments, either individually or in any suitable subcombination. Furthermore, although features operate in a particular combination and may be initially depicted as claimed as such, one or more features from a claimed combination may in some cases be excluded from the combination, the claimed combination being a sub-combination. or a variant of a sub-combination.

Also, although operations are depicted in the drawings in a specific order in this specification, it is not to be understood that such operations must be performed in the specific order or sequential order shown or that all illustrated operations must be performed in order to achieve desirable results. Can not be done. In certain cases, multitasking and parallel processing may be advantageous. Further, the separation of the various system components of the above-described embodiments should not be construed as requiring such separation in all embodiments, and the program components and systems described may generally be integrated together into a single software product or packaged into multiple software products. It should be understood that

As such, this specification is not intended to limit the invention to the specific terms presented. Accordingly, although the present invention has been described in detail with reference to the above-described examples, those skilled in the art can make modifications, changes, and modifications to the examples without departing from the scope of the present invention. The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

According to the network operating device and the method for operating the same according to the present invention, the limitation of the existing technology is overcome in that it can support the shared use of the network computing equipment by multiple users, so that the device applied not only for the use of the related technology but also for the operation thereof. It is an invention that has industrial applicability because it has sufficient potential for commercialization or business, as well as to the extent that it can be clearly implemented in reality.

100: network operating device
10: decision part
20: allotment
30: calculator
40: control unit

Claims (16)

an allocator for creating groups as many as the number of operations for individually allocating the network computing equipment according to the determination of the number of operations for the network computing equipment, and allocating users who share and use the network computing equipment for each created group; and
Based on the network configuration cost incurred when the network computing equipment is shared and used in each group, it comprises a control unit for controlling the number of operations determined for the network computing equipment to be changed or reflected in an operation policy network operating device. The method of claim 1,
The network operating device,
The number of network computing devices that minimize the cost incurred when processing the maximum traffic as many as the total number of users based on the cost according to the computing power required for traffic processing in the network computing device and the predefined maximum traffic Network operation device, characterized in that it further comprises a determining unit for determining the number of operations. The method of claim 1,
the allocator,
Network operation device, characterized in that the user is assigned to each group so that the maximum traffic per user in the group does not overlap each other on the time axis based on the maximum traffic per user per user during the past set period. 4. The method of claim 3,
the allocator,
A network operation device, characterized in that the user is assigned to each group so that the sum of the maximum traffic for each user in the group becomes the minimum size. 4. The method of claim 3,
the allocator,
When the maximum traffic for each user in the group overlaps on the time axis, the network operation device, characterized in that the user is assigned to each group so that the size of the overlapped maximum traffic becomes the minimum size. The method of claim 1,
The network operating device,
The network operating apparatus according to claim 1, further comprising: a calculator configured to calculate the network configuration cost by adding up costs according to computing performance required for user traffic processing in each group. The method of claim 1,
The control unit is
If the network configuration cost calculated at a past time point adjacent to the present time does not exist, or if the network configuration cost calculated at the present time point is less than or equal to the network configuration cost calculated at the past time point, the current time point and the neighboring future time point Network operation device, characterized in that for controlling to change the number of operations of the network computing equipment to a number of operations less than the number of operations at the current time by a set number. The method of claim 1,
The control unit is
There is a network configuration cost calculated based on the number of operations greater than the number of operations at the current time in the past time neighboring the current time, and the network configuration cost calculated at the current time is the network calculated at the past time. When the configuration cost is exceeded, the network operation device, characterized in that the control to reflect the number of operations determined at the past time in the operation policy for operating the network computing equipment. an allocation step of allocating users who share and use the network computing equipment to each created group by creating as many groups as the number of operations for individually allocating the network computing equipment according to the determination of the number of operation of the network computing equipment; and
Based on the network configuration cost incurred when each group shares and uses the network computing equipment, the control step of changing the number of operations determined for the network computing equipment or controlling it to be reflected in an operation policy comprises a control step How to operate a network operating device with 10. The method of claim 9,
The method is
The number of network computing devices that minimize the cost incurred when processing the maximum traffic as many as the total number of users based on the cost according to the computing power required for traffic processing in the network computing device and the predefined maximum traffic The method of operating a network operating device, characterized in that it further comprises a determining step of determining the number of operations. 10. The method of claim 9,
The allocating step is
A method of operating a network operating device, characterized in that the user is assigned to each group so that the maximum traffic per user in the group does not overlap each other on the time axis based on the maximum traffic per user per user during the past set period. 12. The method of claim 11,
The allocating step is
A method of operating a network operating device, characterized in that the user is assigned to each group so that the sum of the maximum traffic for each user within the group becomes the minimum size. 12. The method of claim 11,
The allocating step is
When the maximum traffic for each user in the group overlaps on the time axis, the method of operating a network operating device, characterized in that the user is assigned to each group so that the size of the overlapped maximum traffic becomes the minimum size. 10. The method of claim 9,
The method is
The method of operating a network operating device, characterized in that it further comprises a calculation step of calculating the network configuration cost by adding up the cost according to the computing power required for the user's traffic processing in each group. 10. The method of claim 9,
The control step is
If the network configuration cost calculated at a past time point adjacent to the present time does not exist, or if the network configuration cost calculated at the present time point is less than or equal to the network configuration cost calculated at the past time point, the current time point and the neighboring future time point Network operation device, characterized in that for controlling to change the number of operations of the network computing equipment to a number of operations less than the number of operations at the current time by a set number. 10. The method of claim 9,
The control step is
There is a network configuration cost calculated based on the number of operations greater than the number of operations at the current time in the past time neighboring the current time, and the network configuration cost calculated at the current time is the network calculated at the past time. When the configuration cost is exceeded, the operating method of the network operating device, characterized in that the control to reflect the number of operations determined at the past time in the operation policy for operating the network computing equipment.

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