CN103309843B - The collocation method of server and system - Google Patents
The collocation method of server and system Download PDFInfo
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- CN103309843B CN103309843B CN201210057622.9A CN201210057622A CN103309843B CN 103309843 B CN103309843 B CN 103309843B CN 201210057622 A CN201210057622 A CN 201210057622A CN 103309843 B CN103309843 B CN 103309843B
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Abstract
The present invention proposes a kind of collocation method and system of server.Wherein, method comprises the following steps: the performance data of each server in real-time monitoring system; Calculate the server resource utilization factor of each product line according to the performance data of each server described, wherein each product line comprises multiple server; Judge whether the server resource utilization factor of each product line meets default resource utilization standard; If so, then the number of server in described product line is increased; If not, then the invariable number of server in described product line is kept.According to the method for the embodiment of the present invention, by the performance data of monitoring server in the operational process of server, and analyzing and processing is carried out to performance data, the utilization power of server can be obtained, and then the number of configuration server targetedly, improve the utilization factor of server, reduce the cost of system.
Description
Technical field
The present invention relates to networking technology area, particularly relate to a kind of collocation method and system of server.
Background technology
Server buying account for very large ratio in the annual operation cost of company, and the cost thus reducing the hardware such as server has great importance for the operational overhead reducing company.But meeting business increased requirement and the least possible procure server, is contradiction between both.So existing server should be allowed to have given play to due effect as far as possible, improve the utilization factor of existing server, reduce the number of configuration server, thus control operation cost.
But, still do not exist at present a kind of can the method for configuration server number targetedly, just each product line is by simply estimating to the product flow of oneself or the growth rate of business the number determining required service device, this method Problems existing is, each product line looser estimates mode to prevent the generation of fortuitous event from usually adopting, thus cause company's entirety estimate the larger deviation of appearance, cause the waste of resource.
Summary of the invention
The present invention is intended at least one of solve the problems of the technologies described above.
First object of the present invention be to propose a kind of can targetedly Control Server quantity thus reduce the collocation method of server of system cost.
Second object of the present invention is the configuration-system proposing a kind of server.
To achieve these goals, the collocation method of the server of embodiment according to a first aspect of the invention, comprises the following steps: the performance data of each server in (A) real-time monitoring system; (B) calculate the server resource utilization factor of each product line according to the performance data of each server described, wherein each product line comprises multiple server; (C) judge whether the server resource utilization factor of each product line meets default resource utilization standard; (D) if then increase the number of server in described product line; (E) invariable number of server in described product line if not, is then kept.
According to the collocation method of the server of the embodiment of the present invention, by the performance data of monitoring server real-time in the operational process of server, and analyzing and processing is carried out to performance data, fully can understand the utilization power of server, and then can the number of configuration server targetedly, improve the utilization factor of server, reduce the cost of system.
To achieve these goals, the configuration-system of the server of embodiment comprises according to a second aspect of the invention: transacter, for the performance data of each server in collection system; Data processing equipment, for calculating the server resource utilization factor of each product line according to the performance data of each server described, wherein each product line comprises multiple server; Data storage device, for storing the server resource utilization factor of each product line described; Data analysis set-up, for judging whether the server resource utilization factor of each product line described meets default resource utilization standard, if so, then increases the number of server in described product line, if not, then the invariable number of server in described product line is kept.
According to the configuration-system of the server of the embodiment of the present invention, by collecting the performance data of each server and carrying out analytical calculation, the server resource utilization factor of each product line can be obtained, and then targetedly server is configured, the budget of simplified system.
The aspect that the present invention adds and advantage will part provide in the following description, and part will become obvious from the following description, or be recognized by practice of the present invention.
Accompanying drawing explanation
The present invention above-mentioned and/or additional aspect and advantage will become obvious and easy understand from the following description of the accompanying drawings of embodiments, wherein,
Fig. 1 is the process flow diagram of the collocation method of server according to an embodiment of the invention;
Fig. 2 is the schematic diagram of the method for the server resource utilization factor calculating each product line according to an embodiment of the invention;
Fig. 3 is the process flow diagram judging the whether standard compliant method of the server resource utilization factor of product line according to an embodiment of the invention; And
Fig. 4 is the structural representation of the configuration-system of server according to an embodiment of the invention.
Embodiment
Be described below in detail embodiments of the invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish.Being exemplary below by the embodiment be described with reference to the drawings, only for explaining the present invention, and can not limitation of the present invention being interpreted as.On the contrary, embodiments of the invention comprise fall into attached claims spirit and intension within the scope of all changes, amendment and equivalent.
In describing the invention, it is to be appreciated that term " first ", " second " etc. are only for describing object, and instruction or hint relative importance can not be interpreted as.In describing the invention, it should be noted that, unless otherwise clearly defined and limited, term " is connected ", " connection " should be interpreted broadly, such as, can be fixedly connected with, also can be removably connect, or connect integratedly; Can be mechanical connection, also can be electrical connection; Can be directly be connected, also indirectly can be connected by intermediary.For the ordinary skill in the art, concrete condition above-mentioned term concrete meaning in the present invention can be understood.In addition, in describing the invention, except as otherwise noted, the implication of " multiple " is two or more.
Describe and can be understood in process flow diagram or in this any process otherwise described or method, represent and comprise one or more for realizing the module of the code of the executable instruction of the step of specific logical function or process, fragment or part, and the scope of the preferred embodiment of the present invention comprises other realization, wherein can not according to order that is shown or that discuss, comprise according to involved function by the mode while of basic or by contrary order, carry out n-back test, this should understand by embodiments of the invention person of ordinary skill in the field.
Below with reference to Figure of description, the collocation method according to the server of the embodiment of the present invention is described.
A collocation method for server, comprises the following steps: the performance data of each server in real-time monitoring system; Calculate the server resource utilization factor of each product line according to the performance data of each server described, wherein each product line comprises multiple server; Judge whether the server resource utilization factor of each product line meets default resource utilization standard; If so, then the number of server in described product line is increased; If not, then the invariable number of server in described product line is kept.
Fig. 1 is the process flow diagram of the collocation method of the server of one embodiment of the invention.
As shown in Figure 1, comprise the steps according to the collocation method of the server of the embodiment of the present invention.
Step S101, the performance data of each server in real-time monitoring system.
In one embodiment of the invention, be server deploy each in system monitor client, periodically the performance data of server be sent to special data collection server, so just the performance data collection of Servers-all in system can be got up.In addition, because the server in system can be deployed in different machine rooms, there is the restriction of bandwidth in the network across machine room, so all can dispose data collection server at different machine rooms, to improve system effectiveness.
Wherein, the performance data of server can comprise: system cache size, system cache size, residue physical memory, physical memory total amount, the CPU of User space, the CPU of systematic thinking way, the CPU waited for, overall disk utilization rate, all network interface card influent stream amounts and, all network interface card outflows and, overall disk utilization rate, per second completing reads I/O equipment number of times, per second completing writes I/O equipment number of times, per secondly read K byte number, per secondly write K byte number, the size of data of average each equipment I/O operation, average I/O queue, IOQ length, the stand-by period of average each equipment I/O operation, percent how many time was had for I/O operation etc. on average per second.
Should understand, although obtain all properties data of each server when monitoring, but choice for use certain or some performance data can obtain corresponding index as required when concrete process, what such as compare concern for the product of Distributed Calculation is the utilization factor of CPU, and the relevant performance data of CPU such as the CPU of User space, the CPU etc. of systematic thinking way so can be used to calculate when data processing.
Step S102, calculate the server resource utilization factor of each product line according to the performance data of each server, wherein each product line comprises multiple server.
In system, the quantity of server is very many, and every day, data volume to be processed was very large.Typically do not need all historical datas of preserving Servers-all, the deposit data of every station server is in RRD file for this reason, as long as every day, timing processed.And in order to embody the true utilization rate situation of server, the single index of every day statistics can adopt every 10s to gather a secondary data, per hour carry out once average, in this, as the base unit of statistics.Simultaneously, this is also the peak-utilization situations in order to obtain server, because data in 10s may be the interim tasks carrying of server, and can not the overall operation situation of representative server, and the peak continuing a hour also just can the service condition of response service device.
Particularly, Fig. 2 is the schematic diagram of the method for the server resource utilization factor of each product line of calculating of one embodiment of the invention.As shown in Figure 2, first, periodically calculate the resource utilization of each server according to the performance data of server received and the statistical model of presetting, such as every 10s calculates once.Then, statistical average is carried out to obtain the resource utilization mean value of each server within certain time period to the resource utilization of each server of multiple time point, such as, obtains resource utilization/8640 of unit mean value=each time point of ∑ unit every day.Then, then obtain the resource utilization mean value of product line within certain time period according to the number of servers in unit mean value and product line, what such as obtain product line every day average=each unit of ∑ works as day average/unit quantity.Again then, according to the resource utilization mean value of product line within certain time period, the resource utilization mean value of whole timing statistics can also be obtained, as timing statistics mean value=∑ product line every day average/statistics number of days of product line.
The ASSOCIATE STATISTICS of the maximal value of the server resource utilization factor of product line and the processing mode of above-mentioned mean value similar, be not described in detail herein.In addition, except the server resource utilization factor calculating each product line, the resource utilization of subclassification, department etc. can also be calculated.
More specifically, in one embodiment of the invention, can according to system cache size buffer, system cache size cache, residue physical memory free and physical memory total amount total, by the systematic thinking way memory usage MEM of following formulae discovery server
MEM＝1-(buffer+cache+free)/total。
According to the CPU of the CPU of User space, the CPU of systematic thinking way and wait, by total CPU usage of following formulae discovery server,
The CPU of the CPU+ wait of the CPU+ systematic thinking way of total CPU usage=User space.
According to all network interface card influent stream amounts and, all network interface card outflows and, totally pass in and out flow by all network interface cards of following formulae discovery server,
All network interface cards totally pass in and out flow=all network interface card influent stream amounts and+all network interface card outflows and.
Step S103, judges whether the resource utilization of each product line meets default resource utilization standard.
Should understand, oneself distinctive application scenarios and system architecture mode all can be had for different product lines, the distribution of calculated amount and different to the requirement of redundance, for this specifies different performance index to different product lines, such as, product for Distributed Calculation then requires that the utilization factor of CPU reaches particular requirement; Application for storage-type then requires that the use amount of disk reaches particular requirement.
Particularly, Fig. 3 be one embodiment of the invention judge whether server resource utilization factor reaches the process flow diagram of calibration method.As shown in Figure 3, the method comprises the steps.
Step S311, judges the type of product line.
In one embodiment of the invention, the type of product line comprises Distributed Calculation, back-end data process etc.
Step S312, according to the type of product line, the resource utilization value pay close attention to this product line type and the concern resource utilization threshold corresponding to this product line type compare, and judge whether the threshold value of the resource utilization of this concern is greater than corresponding resource utilization threshold.
Such as, for the product of Distributed Calculation, the resource utilization paid close attention to is cpu busy percentage, and its corresponding cpu busy percentage threshold might be set is 75%; For the product of back-end data process, the resource utilization paid close attention to is disk use amount, and its corresponding disk use amount can be set as 70%.
Step S313, if the resource utilization value paid close attention to is greater than corresponding resource utilization threshold, then determines that the resource utilization of this product line meets standard.
Step S314, if the resource utilization value paid close attention to is not more than corresponding resource utilization threshold, then determines that the resource utilization of this product line is not up to standard.
Should be understood that above-mentioned example is only schematic example, be not limited to the present invention.Those skilled in the art also can adopt other mode to judge, and whether the server resource utilization factor of product line is up to standard.Such as, identical first resource utilization factor standard can be set to all product lines, after judging that certain product line does not meet this first resource utilization factor standard, judge whether this product line belongs to the service of specific type again, if so, then optimize first resource utilization factor standard, re-start judgement.These modifications and variations all should be included in protection scope of the present invention.
Step S104, if so, then increases the number of server in product line.
If the server resource utilization factor of product line is up to standard, then mean that the utilization factor of the server in existing product line is saturated, when business demand increases, the quantity of existing server possibly cannot meet business demand, therefore needs the number increasing server to ensure that product line can meet the business demand increased.
Step S105, if not, then keeps the invariable number of server in product line.
If the server resource utilization factor of product line is below standard, then mean that the server in existing product line is not fully utilized, therefore now without the need to increasing the number of server in product line, as long as improve the utilization factor of server in product line and the demand of guaranteed service growth.
According to the collocation method of the server of the embodiment of the present invention, added up by the performance data of real-time monitoring server, fully can understand the utilization power of server, thus can the number of configuration server targetedly, improve the utilization factor of server, reduce the cost of system.
Below with reference to Figure of description, the configuration-system according to the server of the embodiment of the present invention is described.
A configuration-system for server, comprising: transacter, for each performance data of each server in collection system; Data processing equipment, for calculating the server resource utilization factor of each product line according to each performance data of each server, wherein each product line comprises multiple server; Data storage device, for storing the server resource utilization factor of each product line; Data analysis set-up, for judging whether the server resource utilization factor of each product line meets default resource utilization standard, if so, then increases the number of server in product line, if not, then keeps the invariable number of server in product line.
Fig. 4 is the structured flowchart of the configuration-system of the server of one embodiment of the invention.
As shown in Figure 4, the configuration-system according to the server of the embodiment of the present invention comprises: transacter 10, data processing equipment 20, data storage device 30 and data analysis set-up 40.
Transacter 10 is for the performance data of each server in collection system.In one embodiment of the invention, to every station server deploy monitor client, periodically the performance information of server is sent to transacter 10, so just all performance data of server can be collected.In addition, because server can be deployed in different machine rooms, can there is the restriction in broadband in the network across machine room, therefore in one embodiment of the invention, can all dispose transacter 10 at different machine rooms, namely dispose multiple transacter 10, to improve system effectiveness.
Wherein, the performance data of server can comprise: system cache size, system cache size, residue physical memory, physical memory total amount, the CPU of User space, the CPU of systematic thinking way, the CPU waited for, overall disk utilization rate, all network interface card influent stream amounts and, all network interface card outflows and, overall disk utilization rate, per second completing reads I/O equipment number of times, per second completing writes I/O equipment number of times, per secondly read K byte number, per secondly write K byte number, the size of data of average each equipment I/O operation, average I/O queue, IOQ length, the stand-by period of average each equipment I/O operation, percent how many time was had for I/O operation etc. on average per second.
Data processing equipment 20 is connected with transacter 10, and for calculating the resource utilization of each product line according to the performance data of each server, wherein each product line comprises multiple server.
Data storage device 30 is connected with data processing equipment 20, for storing the resource utilization of each product line.Result of calculation, when the performance data of processing server, writes in data storage device 20 by data processing equipment 20 concurrently, so as when needed from data storage device 30 Gains resources availability data analyze.
Data analysis set-up 40 is connected with data storage device 30, for the resource utilization according to each product line stored in data storage device 30, judge whether the resource utilization of each product line meets default resource utilization standard, if, then increase the number of server in product line, if not, then the invariable number of server in product line is kept.
Should be understood that the course of work of each device above-mentioned can be identical with the description of said method embodiment, be not described in detail herein.
According to the configuration-system of the server of the embodiment of the present invention, by the performance data of collecting each server go forward side by side row relax calculate, obtain the server resource utilization factor of each product line, and then targetedly server be configured, the budget of simplified system, improves resource utilization.
Should be appreciated that each several part of the present invention can realize with hardware, software, firmware or their combination.In the above-described embodiment, multiple step or method can with to store in memory and the software performed by suitable instruction execution system or firmware realize.Such as, if realized with hardware, the same in another embodiment, can realize by any one in following technology well known in the art or their combination: the discrete logic with the logic gates for realizing logic function to data-signal, there is the special IC of suitable combinational logic gate circuit, programmable gate array (PGA), field programmable gate array (FPGA) etc.
In the description of this instructions, specific features, structure, material or feature that the description of reference term " embodiment ", " some embodiments ", " example ", " concrete example " or " some examples " etc. means to describe in conjunction with this embodiment or example are contained at least one embodiment of the present invention or example.In this manual, identical embodiment or example are not necessarily referred to the schematic representation of above-mentioned term.And the specific features of description, structure, material or feature can combine in an appropriate manner in any one or more embodiment or example.
Although illustrate and describe embodiments of the invention, for the ordinary skill in the art, be appreciated that and can carry out multiple change, amendment, replacement and modification to these embodiments without departing from the principles and spirit of the present invention, scope of the present invention is by claims and equivalency thereof.
Claims (13)
1. a collocation method for server, is characterized in that, comprises the following steps:
(A) performance data of each server in real-time monitoring system, wherein, the performance data of described server comprises: system cache size, system cache size, residue physical memory, physical memory total amount, the CPU of User space, the CPU of systematic thinking way, the CPU waited for, overall disk utilization rate, all network interface card influent stream amounts and, all network interface card outflows and, overall disk utilization rate, per second completing reads I/O equipment number of times, per second completing writes I/O equipment number of times, per secondly read K byte number, per secondly write K byte number, the size of data of average each equipment I/O operation, average I/O queue, IOQ length, the stand-by period of average each equipment I/O operation, percent how many time was had to operate for I/O on average per second,
(B) calculate the server resource utilization factor of each product line according to the performance data of each server described, wherein each product line comprises multiple server;
(C) judge whether the server resource utilization factor of each product line meets default resource utilization standard;
(D) if then increase the number of server in described product line;
(E) invariable number of server in described product line if not, is then kept.
2. the collocation method of server as claimed in claim 1, it is characterized in that, described step (B) comprises further:
The resource utilization of each server is periodically calculated according to the performance data of each server in each product line described and the statistical model preset;
Statistical average is carried out to obtain the resource utilization mean value of each server within certain time period to the resource utilization of each server described in multiple time point;
According to the quantity of server in the resource utilization mean value of each server described within certain time period and described product line, obtain the resource utilization mean value of each product line in certain time period;
According to the resource utilization mean value of described product line in certain time period, obtain the resource utilization mean value of each product line in whole timing statistics.
3. the collocation method of server as claimed in claim 1, it is characterized in that, described step (B) comprises further:
According to described system cache size, described system cache size, described residue physical memory and described physical memory total amount, by the systematic thinking way memory usage of following formulae discovery server,
Systematic thinking way memory usage=1-(system cache size+system cache size+residue physical memory)/physical memory total amount.
4. the collocation method of server as claimed in claim 1, it is characterized in that, described step (B) comprises further:
According to the CPU of the CPU of described User space, the CPU of systematic thinking way and wait, by total CPU usage of following formulae discovery server,
The CPU of the CPU+ wait of the CPU+ systematic thinking way of total CPU usage=User space.
5. the collocation method of server as claimed in claim 1, it is characterized in that, described step (B) comprises further:
According to described all network interface card influent stream amounts and, all network interface card outflows and, totally pass in and out flow by all network interface cards of following formulae discovery server,
All network interface cards totally pass in and out flow=all network interface card influent stream amounts and+all network interface card outflows and.
6. the collocation method of server as claimed in claim 1, it is characterized in that, described step (C) comprises further:
Judge the type of described product line;
According to the type of described product line, the resource utilization value pay close attention to described product line type and the concern resource utilization threshold corresponding to described product line type compare;
If described paid close attention to resource utilization value is greater than described resource utilization threshold, then determine that the resource utilization of described product line meets standard; And
If described paid close attention to resource utilization is less than described resource utilization threshold, then determine that the resource utilization of described product line does not meet standard.
7. a configuration-system for server, is characterized in that, comprising:
Transacter, for the performance data of each server in collection system, wherein, the performance data of described server comprises: system cache size, system cache size, residue physical memory, physical memory total amount, the CPU of User space, the CPU of systematic thinking way, the CPU waited for, overall disk utilization rate, all network interface card influent stream amounts and, all network interface card outflows and, overall disk utilization rate, per second completing reads I/O equipment number of times, per second completing writes I/O equipment number of times, per secondly read byte number, joint number of writing per second, the size of data of average each equipment I/O operation, average I/O queue, IOQ length, the stand-by period of average each equipment I/O operation, percent how many time was had to operate for I/O on average per second,
Data processing equipment, for calculating the server resource utilization factor of each product line according to the performance data of each server described, wherein each product line comprises multiple server;
Data storage device, for storing the server resource utilization factor of each product line described;
Data analysis set-up, for judging whether the server resource utilization factor of each product line described meets default resource utilization standard, if so, then increases the number of server in described product line, if not, then the invariable number of server in described product line is kept.
8. the configuration-system of server as claimed in claim 7, it is characterized in that, each server described has monitor client respectively, and described performance data is periodically sent to described transacter by described monitor client end by each server described.
9. the configuration-system of server as claimed in claim 7, it is characterized in that, the resource utilization that described data processing equipment calculates each product line according to each performance data of each server described comprises further:
The resource utilization of each server is periodically calculated according to the performance data of each server described and the statistical model preset;
Statistical average is carried out to obtain the resource utilization mean value of each product line within certain time period to the resource utilization of each server described in multiple time point;
According to the quantity of server in the resource utilization mean value of each server described within certain time period and described product line, obtain the resource utilization mean value of each product line in certain time period;
According to the resource utilization mean value of described product line in certain time period, obtain the resource utilization mean value of each product line in whole timing statistics.
10. the configuration-system of server as claimed in claim 7, is characterized in that,
Described data processing equipment according to described system cache size, described system cache size, described residue physical memory and described physical memory total amount, by the systematic thinking way memory usage of following formulae discovery server,
Systematic thinking way memory usage=1-(system cache size+system cache size+residue physical memory)/physical memory total amount.
The configuration-system of 11. servers as claimed in claim 7, is characterized in that,
Described data processing equipment according to the CPU of the CPU of described User space, the CPU of systematic thinking way and wait, by total CPU usage of following formulae discovery server,
The CPU of the CPU+ wait of the CPU+ systematic thinking way of total CPU usage=User space.
The configuration-system of 12. servers as claimed in claim 7, is characterized in that,
Described data processing equipment according to described all network interface card influent stream amounts and, all network interface card outflows and, totally pass in and out flow by all network interface cards of following formulae discovery server,
All network interface cards totally pass in and out flow=all network interface card influent stream amounts and+all network interface card outflows and.
The configuration-system of 13. servers as claimed in claim 7, is characterized in that, described data analysis set-up is for judging whether the resource utilization of each product line meets default resource utilization standard, comprises further:
Judge the type of described product line;
According to the type of described product, the resource utilization value pay close attention to described product line type and the concern resource utilization threshold corresponding to described product line type compare;
If described paid close attention to resource utilization value is greater than described resource utilization threshold, then determine that the resource utilization of described product line meets standard; And
If described paid close attention to resource utilization is less than described resource utilization threshold, then determine that the resource utilization of described product line does not meet standard.
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| CN105488539B (en) * | 2015-12-16 | 2019-05-24 | 百度在线网络技术（北京）有限公司 | The predictor method and device of the generation method and device of disaggregated model, power system capacity |
| CN108280007B (en) * | 2017-01-05 | 2021-08-13 | 中国移动通信集团福建有限公司 | Method and device for evaluating equipment resource utilization rate |
| CN107797847A (en) * | 2017-09-25 | 2018-03-13 | 联想(北京)有限公司 | Method and a device for configuring a server cluster |
| CN109165045A (en) * | 2018-08-09 | 2019-01-08 | 网宿科技股份有限公司 | A kind of method and apparatus for the hardware configuration adjusting server |
| CN114257794A (en) * | 2022-03-02 | 2022-03-29 | 英特灵达信息技术(深圳)有限公司 | Video analysis computing power scheduling method and system |
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