KR101627912B1 - Current calculation system and power analysis system using the same - Google Patents

Abstract

The present invention relates to a power analysis system for analyzing power usage of a server. According to an aspect of the present invention, there is provided a system for calculating an operating current of a server provided in a rack, comprising a data collecting unit for receiving equipment data, performance data, and current information of the rack and transmitting the data to a calculating unit, Wherein the performance data includes a CPU usage rate of the server and the current information includes a measured usage current value of the rack based on data and current information.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a current calculation system and a power analysis system using the same,

The present invention relates to a current calculation system for analyzing a current used in a server and a power analysis system using the same. More particularly, the present invention relates to a current calculation system for analyzing a current used in a server, The present invention relates to a power analysis system capable of easily deriving currents and values for use.

The Internet Data Center (IDC), which was created with the growth of the Internet business, refers to a place to provide services such as renting computer equipment or network equipment to business and individual customers, and attracting customers' facilities such as servers. IDC is equipped with state-of-the-art facilities, security, and perfect communication network for the operation and management of server equipment and communication equipment, which are burdensome for individual companies to operate.

Current technologies such as current and power consumed per rack equipped with a plurality of servers can be measured and calculated using a current supply or current measuring device attached to the rack, Since it is impossible to measure the current or power used for each server, it is impossible to accurately determine which server is behaving abnormally in the rack even when abnormal operation of a specific server such as abnormal power consumption is detected. Information about how much power a server consumes and how much power a server group providing a service consumes is required. However, there is a problem that such a work can not be performed at present.

In order to measure the current value consumed by each server group, it is possible to designate a rack for each server group and provide a server group corresponding to the rack. However, in this case, There is a problem that it is required to be provided only at a predetermined position.

To solve this problem, you could install a current measurement sensor on every power branch of a powerstrip that physically powers each server, and work on matching each sensor and server, In order to install a current measuring sensor corresponding to a large number of servers manually and to match it with a server, it takes a lot of cost and time, and since the size of a power strip increases, it can not be used in a standard rack. It is impossible to provide.

An object of the present invention is to solve the above-mentioned problems of the prior art.

It is an object of the present invention to accurately grasp the current and power values of each server mounted inside a rack without physically installing a separate device.

It is another object of the present invention to provide a server in an arbitrary rack regardless of the server group to which the server belongs.

Another object of the present invention is to provide the detected current and power values in real time so that the manager can immediately know the abnormality of the server.

It is a further object of the present invention to provide statistical data based on the identified current and power values to be used for more efficient server placement and power efficiency.

In order to achieve the above-described object of the present invention and to achieve the specific effects of the present invention described below, the characteristic structure of the present invention is as follows.

According to an aspect of the present invention, there is provided a system for calculating an operating current of a server provided in a rack, comprising a data collecting unit for receiving equipment data, performance data, and current information of the rack and transmitting the data to a calculating unit, Wherein the performance data includes a CPU usage rate of the server and the current information includes a measured usage current value of the rack based on data and current information.

According to another aspect of the present invention, a power analysis system based on a current used by each server in an IDC center includes a statistical analysis unit for generating statistical analysis data based on data stored in an analysis DB and providing the statistical analysis data to a client computer, , Performance data, and current information of each rack in the IDC center, and stores the calculated current value in the analysis DB, wherein the performance data includes a CPU usage rate of each server And the current information includes a measured current value of the rack.

As described above, according to the present invention, it is possible to accurately grasp the current and power value of each server mounted in the rack without physically installing a separate device.

In addition, according to the present invention, regardless of the server group to which the server belongs, the server can be provided in any rack, so that the server can be installed more easily.

In addition, according to the present invention, the detected current and power value can be provided in real time, so that the manager can immediately know the abnormality of the server.

In addition, according to the present invention, statistical data based on the detected current and power values can be provided, which can be used for more efficient server placement and power efficiency.

BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 is a schematic representation of an overall configuration of a power analysis system, in accordance with an embodiment of the present invention.
2 is a detailed configuration diagram of an analysis server according to an embodiment of the present invention.
3 is a diagram showing a data structure of current information collected by a current collection server and stored in a database according to an embodiment of the present invention.
4 is a diagram illustrating a data structure of equipment data stored in an equipment DB according to an embodiment of the present invention.
5 is a view showing statistics and analysis data screens generated by a statistical analysis unit according to an embodiment of the present invention and provided by a client computer.
6 is a diagram illustrating a process for calculating a current used by a specific server in a rack according to an exemplary embodiment of the present invention.
FIG. 7 is a table comparing currents used in a server and actual measured values in a rack calculated according to an embodiment of the present invention.

The following detailed description of the invention refers to the accompanying drawings, which illustrate, by way of illustration, specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It should be understood that the various embodiments of the present invention are different, but need not be mutually exclusive. For example, certain features, structures, and characteristics described herein may be implemented in other embodiments without departing from the spirit and scope of the invention in connection with an embodiment. It is also to be understood that the position or arrangement of the individual components within each disclosed embodiment may be varied without departing from the spirit and scope of the invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is to be limited only by the appended claims, along with the full scope of equivalents to which the claims are entitled, if properly explained. In the drawings, like reference numerals refer to the same or similar functions throughout the several views.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings, so that those skilled in the art can easily carry out the present invention.

[Preferred Embodiment of the Present Invention]

Complete system configuration

1 is a diagram schematically showing the overall configuration of a power analysis system according to an embodiment of the invention.

1, the overall system according to an embodiment of the present invention includes a current collecting server 200 including a database connected to an IDC center 100 including one or more racks, And is also connected to the analysis server 300 including the database. The analysis server 300 is connected to the equipment DB 400 and the performance DB 500 to receive necessary data and is connected to the client computer 600 to transmit and receive mutual information.

First, according to an embodiment of the present invention, the IDC center 100 includes at least one rack, each rack may have a plurality of servers, and the rack itself may measure the current consumed by the rack A current source or a current meter may be attached. Also, current information generated in each rack of the IDC center 100 is communicated between the IDC center 100 and the current collecting server 200 in a real-time manner or at a predetermined time, for example, 5 minutes And transmits it to the current collection server 200. Here, the current information includes a current value used in each rack, and may further include various data such as a delimiter for distinguishing each rack and a reception time.

In addition, according to an embodiment of the present invention, the current collection server 200 receives the current information generated in each rack from the communicatively connected IDC center 100 and controls the current collection server 200 and the internal / And store and update data in an externally connected database (not shown). An embodiment showing the data structure of the current information collected by the current collection server 200 and stored in the database is shown in FIG. As shown in FIG. 3, the current information may include, but is not limited to, a rack name that can identify each rack, a measured current value, and a final reception time, and various other information may be further included in the data structure .

The equipment DB 400 according to an embodiment of the present invention includes a database (not shown) that stores equipment data including the characteristics of each server included in each rack, including the type of the entire registered service and the type of server of the IDC center 100 to be. The equipment data stored in the equipment DB 400 includes a data structure classified and stored according to a registered service standard as shown in FIG. 4A, and a data structure classified and stored based on the physical characteristics of the server as shown in FIG. . ≪ / RTI > In addition, the equipment data includes detailed characteristics of each physical server, such as CPU information such as CPU manufacturer and CPU clock, memory size to be used, server type such as manufacturer, graphics card type and manufacturer, hard disk capacity, And a unit size of the server indicating the size of the server. An example of such a data structure is shown in FIG. 4C. In addition, the equipment data may include respective variable constants depending on the CPU type and memory type that can be used for each server, and an example of such a data structure is shown in FIG. 4D. Here, the CPU variation constant and the memory variation constant are values obtained through various experiments and measurements.

The performance DB 500 according to an embodiment of the present invention is a database that stores performance of each server provided in each rack of the IDC center 100. The performance DB 500 is connected to a performance measurement server (not shown) communicatively connected to each of the servers provided in each rack of the IDC center 100, Server performance data is transmitted from each of the servers provided in the rack, and is stored and updated in the performance DB 500. Here, the server performance data includes, in order to match which racks are located in the IDC center 100, a separator capable of distinguishing servers in the respective racks and servers, and a CPU utilization rate currently used by the server, but is not limited thereto , And may further include data relating to various indicators that may indicate the performance of certain components of the server.

The client computer 600 according to an exemplary embodiment of the present invention may request various statistical analysis data based on a current value of a specific server to the analysis server 300 and may request the analysis server 300 from the analysis server 300, Output device including various statistical analysis data and a function of receiving the abnormal operation of the server from the analysis server 300. The input / output device includes not only a desktop computer but also a notebook computer, a workstation, a palmtop computer, A mobile terminal including a personal digital assistant (PDA), a web pad, a smart phone, and the like may be used as long as it is a digital device equipped with a microprocessor, 600).

The current collection server 200, the analysis server 300, and / or the performance measurement server (not shown) in FIG. 1 may be physically implemented in one machine and some or each of them may be implemented in another machine, A plurality of physically identical machines having the same function may exist in parallel. Also, the database (not shown), the equipment DB 400 and the performance DB 500 received and stored by the current collection server 200 may be logically divided and stored logically in one database, May be physically implemented as separate databases, or a plurality of physically parallel databases may exist logically having the same function. It will be apparent to those skilled in the art that various modifications and changes may be made in the present invention without departing from the spirit and scope of the invention.

The detailed configuration diagram of the analysis server 300

2 is a detailed configuration diagram of an analysis server 300 according to an embodiment of the present invention.

2, the analysis server 300 according to an exemplary embodiment of the present invention may include a data collection unit 310, a calculation unit 320, a statistical analysis unit 330, and an analysis DB 340 .

The data collecting unit 310 according to an embodiment of the present invention includes current information stored and updated through the current collecting server 200 and equipment data stored in the equipment DB 400 and performance data stored in the performance DB 500 And transmits it to the calculation unit 320.

The calculation unit 320 according to an embodiment of the present invention derives a current value used in a specific server by using current information, equipment data, and performance data received from the data collection unit 310. [ Here, the basic formula for calculating the used current value of the server is expressed by Equation 1 below.

Here, S _I is the current value used by the server, R _I is the _total current value used in the rack provided with the server, M _total is the _total current value used in the entire servers used in the rack provided with the server, a memory variation constant, R _U is the sum of the total using the unit size, S _U in a rack provided with a corresponding server, the unit size of the server, W is weight, and M _i is the memory used by the server Means a variation constant. R _I can be obtained from the current information as the actual measured current value and M _total can be obtained from the equipment data constructed from the sum of the constant value used for each server and dependent on the specific memory size of the specific company , R _U corresponds to the total sum of the unit sizes of the servers provided in the corresponding rack, so that it can be derived from the previously constructed equipment data, S _U can also be obtained from the equipment data, and M _i can also be obtained from the pre- Can be obtained.

For example, if it is desired to calculate the present current value 2010-08-20, 19:28:34 of the server corresponding to the server location 5th floor _D14_R04_A through FIG. 3 to FIG. 4, as shown in FIG. 3, The measured current value at the corresponding time in the rack name fifth layer_D14_R4 is 9.13A, and the memory fluctuation constant of the server is 0.1 in FIG. 4B through FIG. 4D. Assuming that the sum of the memory fluctuation constants used in the entire server provided in the rack is 1.12 and that the total used unit size of the rack is 14RU, the server weight is 0.111 (the formula for calculating the server weight and calculation procedure will be described later) Therefore, the calculation result of the current value used in the server location 5F_D14_R04_A is as shown in the following equation (2).

Therefore, it can be seen that the current value used in the server is approximately 1.13A.

In addition, the basic formula for obtaining the weight W in Equation (1) is expressed by Equation (3) below.

Here, C _avg is an average of CPU utilization rates of all the servers in the rack provided with the server, C _U is the CPU usage rate of the server, and I is the CPU current fluctuation constant. C _avg can be derived from the performance data because it is a value that can be obtained from the CPU utilization rate of all the servers provided in the corresponding rack, and C _U can also be obtained from the performance data, and I is a specific company Is a constant value that depends on the speed and characteristics of a specific CPU of the system.

For example, if it is desired to calculate the current weights 2010-08-20, 19:28:34 of servers corresponding to the server location 5th floor _D14_R04_A through FIG. 3 to FIG. 4, 0.03 < / RTI > as shown in FIG. Assuming that the average CPU utilization rate of the entire server in the rack name 5F _D14_R04 is 57% and the current CPU utilization rate of the server is 20%, the calculation result of the weight W is (0.57-0.2) x10x0.03 = 0.111 Which is the same as the weight used in the calculation of Equation (2).

The calculator 320 calculates the current value of all the servers in all the racks existing in the IDC center 100 according to the above equations in real time or on a predetermined cycle using the above equation And storing the result of the calculation in the analysis database 340.

The statistical analysis unit 330 according to an embodiment of the present invention generates various statistics and analysis data based on the data calculated by the calculation unit 320 and stored in the analysis database 340, Or to provide such data on a real-time or on a periodic basis. As examples of such statistical and analysis data, there may be a total current used for each service as shown in FIG. 5, and current data per server in the service. In addition, there may be used various data of equipment data stored in the equipment DB, It will be apparent to those skilled in the art that various statistical and analytical data formats can be included based on, for example, service sites, server models, server locations, and the like.

If the current value or the power consumption value exceeds a certain value, the statistical analysis unit 330 may calculate the upper limit value of the steady current value that can be used by the specific server of the A model, for example, The upper limit of the normal power consumption is set to C, and if the measured current value exceeds B or the calculated power consumption exceeds C, it is determined that the operation is abnormal. ). Therefore, the user has an advantage of being able to grasp which server of a certain rack is abnormally operated.

Amperometric analysis example

Next, a comparison is made between the numerical value of the amount of current used by each server in the method according to an embodiment of the present invention and the result of direct measurement.

6A is a table showing equipment data and performance data of a server provided in a rack used in an actual experiment. 6A, the rack has seven servers having CPUs having the same performance of the same company, each of which has the same unit size of 2RU, the memory capacity is 16GB for the servers 1 to 5, 6 to 7 use 48 GB. The CPU usage rate of each server at the time of measurement is also shown in FIG. 6A. On the other hand, the total current value of the rack obtained by the measurement is 9.13A.

Next, FIG. 6B shows the CPU current fluctuation constant and the memory fluctuation constant of the server. This CPU current fluctuation constant depends on the CPU conditions including the CPU manufacturer and CPU speed, etc., and the memory fluctuation constant also depends on the memory conditions including the memory manufacturer and memory size, and the values shown in FIG. And is stored in the equipment DB 400 as a part of the equipment data. As shown in FIG. 3B, the CPU current fluctuation constants of the seven servers provided in the rack are all 0.03, and the memory fluctuation constants are 0.1 or 0.31, respectively, depending on the memory size.

Under these conditions, if the server 1 actually calculates current values, the respective values to be entered in Equations 1 and 4 are as shown in FIG. 6C. This of R _U is obtained by the server is provided with seven unit size of each of the server is so 2RU 14RU is obtained, because when the sum of the _total M M _i of each of the server calculated as 0.1x5 + 0.31x2 , And C _avg is the average of each CPU usage rate in the rack, so (0.2 + 0.5 + 0.9 + 1 + 0.2 + 0.4 + 0.8) / 7.

The process of calculating the current value used by the server 1 using the values of FIGS. 6A to 6C is shown in FIG. 6D, which is approximately 1.133 A. On the other hand, the measured current value of the server 1 is 1.13A. Therefore, it can be seen that the error rate between the calculated value and the actual measured value is only 0.025%. Similarly, a table showing calculated values and actual measured values of current values used by each server in the rack is shown in FIG. Referring to FIG. 7, since the error rate does not exceed 0.50% at most and the average error rate is only 0.3%, the values derived from the calculation do not differ from the actual measured values. Therefore, It can be seen that the method represents the actual measured value well.

Embodiments according to the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as a hard disk, a floppy disk, and a magnetic tape; optical media such as CD-ROM and DVD; magnetic recording media such as a floppy disk; Includes hardware devices specifically configured to store and perform program instructions such as megneto-optical media and ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

As described above, the present invention has been described with reference to particular embodiments, such as specific elements, and specific embodiments and drawings. However, it should be understood that the present invention is not limited to the above- And various modifications and changes may be made thereto by those skilled in the art to which the present invention pertains.

Accordingly, the spirit of the present invention should not be construed as being limited to the embodiments described, and all of the equivalents or equivalents of the claims, as well as the following claims, belong to the scope of the present invention .

Claims (8)

A system for calculating current usage of each of a plurality of servers in a rack,
Receiving and measuring equipment data including physical property values of each of the plurality of servers provided in the rack and a used current value measured for the entire rack without measuring a used current value for each of the plurality of servers; A data collecting part for transmitting data to the part; And
The calculating unit calculating the current used by each of the plurality of servers using the equipment data and the measured current values measured for the entire rack,
And the current calculation system. The method according to claim 1,
Wherein the equipment data includes a memory variation constant of the plurality of servers and a unit size of the plurality of servers,
The calculation unit may calculate,
A memory fluctuation constant of the plurality of servers, a unit size of the plurality of servers, and a memory fluctuation constant of a server for calculating the used current among the plurality of servers, And calculates the current used by the server. The method according to claim 1,
The data collecting unit,
Receiving performance data of the plurality of servers provided in the rack and further transmitting the performance data to the calculation unit,
The calculation unit may calculate,
And calculates the usage current of each of the plurality of servers by further using the performance data. The method according to claim 1,
The data collecting unit,
And further receives a name of the rack and a measurement time of the used current value, and further transmits the measurement time to the calculation unit. A power analysis system based on a current used by each of a plurality of servers in an IDC center,
Using the measured current values for each of the plurality of racks without measuring equipment data including physical property values of each of the plurality of servers and a current value used for each of the plurality of servers in the IDC center A calculation unit for calculating a current value used by each of the plurality of servers and storing the current value in an analysis DB; And
A statistical analysis unit for generating statistical analysis data including a current value for each item based on a current value used by each of the plurality of servers stored in the analysis DB,
Lt; / RTI >
Wherein each item includes at least one of a service in which each of the plurality of servers is used, a model of each of the plurality of servers, and a position of each of the plurality of servers. The method of claim 5,
Wherein the equipment data includes a memory variation constant of the plurality of servers and a unit size of the plurality of servers,
The calculation unit may calculate,
A memory fluctuation constant of the plurality of servers, a unit size of the plurality of servers, and a memory fluctuation constant of a server for calculating the used current among the plurality of servers, And calculates a current value of the server. The method of claim 5,
Wherein the statistical analysis data further includes power used for each item calculated based on the current value of each item. The method of claim 5,
Wherein the statistical analysis unit comprises:
Wherein when the current value used by each of the plurality of servers stored in the analysis DB exceeds a predetermined value, it is determined as an abnormal operation and information indicating the server in which the abnormal operation has occurred, Wherein the client further provides the power analysis system.

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