CN102638457B - Method and system for automatically allocating server resource - Google Patents
Method and system for automatically allocating server resource Download PDFInfo
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- CN102638457B CN102638457B CN201210079458.1A CN201210079458A CN102638457B CN 102638457 B CN102638457 B CN 102638457B CN 201210079458 A CN201210079458 A CN 201210079458A CN 102638457 B CN102638457 B CN 102638457B
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Abstract
The invention provides a method and system for automatically allocating a server resource. The method comprises the following steps that: a receiver acquires a time interval importance parameter of each application service, and regulates a difficulty parameter and an influence degree parameter; the receiver timely acquires a business volume index of each service; a calculator calculates a comparison parameter of each service within the preset time slot according to the business volume index of each service, the maximum connection number of a bottleneck and the importance parameter; and a controller counts the CPU (central processing unit) utilization rate of all application services within the preset time slot, acquires the maximum of all comparison parameters and respectively calculates the difference of the comparison parameters of each service and the maximum if the times of the CPU utilization rate over the threshold is larger than a preset times, needs to regulate resource allocation of all services if the absolute values of all differences are smaller than or equal to the preset value, and regulates the resource allocation of the service corresponding to the difference if the absolute value of the difference is larger than the preset value.
Description
Technical field
The invention belongs to server resource distribution technique, relate in particular to a kind of server resource auto-allocation method and system.
Background technology
At present, for medium-sized and small enterprises, the expense of server is a very large expense.Most small companies can be placed on a lot of application services on one station server and process, such as a station server is both as web server, again as caching server and database server etc.But the resource that in reality, certain business service takies within certain a period of time is conventionally more, and the resource that other times another one business service takies is more.In addition, in the time that all business service take within certain time period resource is all a lot, need to distinguish priority, reduce the expense of some business service, increase the application expense of other business service simultaneously, thereby make server reach limited balance.Therefore, how reasonable distribution server resource, is current problem demanding prompt solution to solve the resource distribution requirements that small company faces.
Summary of the invention
The invention provides a kind of server resource auto-allocation method and system, to address the above problem.
The invention provides a kind of server resource auto-allocation method.Said method comprises the following steps: receiver obtains period importance parameter, adjustment difficulty parameter and the influence degree parameter of each application service from memory, the traffic carrying capacity index of the each business of receiver timing acquisition, wherein, each business comprises at least one application service, the importance parameter of described business is determined by the period importance parameter of corresponding application service, maximum number of connections and importance parameter during according to the traffic carrying capacity index of each business, bottleneck, calculator calculates the comparative parameter of each business in preset period of time, the cpu busy percentage of all application services in controller statistics preset period of time, if cpu busy percentage exceedes the number of times of threshold value and is greater than preset times, obtain the maximum in all comparative parameters, and calculate respectively comparative parameter and the described peaked difference of each business, if the absolute value of all differences is all less than or equal to preset value, need the resource of adjusting all business to distribute, if exist the absolute value of described difference to be greater than described preset value, adjusting the resource of the corresponding business of described difference distributes, wherein, according to the period importance parameter of application service, adjust difficulty parameter and influence degree parameter and determine application service to be adjusted in business to be adjusted.
The present invention also provides a kind of server resource automatic distribution system, comprises receiver, memory, calculator and controller.Wherein, receiver is connected storage and calculator respectively, and controller connects respectively calculator and memory.Receiver, for obtaining period importance parameter, adjustment difficulty parameter and the influence degree parameter of each application service from memory.Receiver, also, for the traffic carrying capacity index of the each business of timing acquisition, wherein, each business comprises at least one application service, the importance parameter of described business is determined by the period importance parameter of corresponding application service.Calculator, maximum number of connections and importance parameter when according to the traffic carrying capacity index of each business, bottleneck, calculate the comparative parameter of each business in preset period of time.Controller, for adding up the cpu busy percentage of all application services in described preset period of time, if described cpu busy percentage exceedes the number of times of threshold value and is greater than preset times, obtain the maximum in all comparative parameters, and calculate respectively comparative parameter and the described peaked difference of each business, if the absolute value of all differences is all less than or equal to preset value, need the resource of adjusting all business to distribute, if exist the absolute value of described difference to be greater than described preset value, adjusting the resource of the corresponding business of described difference distributes, wherein, according to the period importance parameter of application service, adjust difficulty parameter and influence degree parameter and determine application service to be adjusted in business to be adjusted.
Compared to prior art, according to server resource auto-allocation method provided by the invention and system, controller is by the cpu busy percentage of all application services in statistics preset period of time, and in the time that the number of times that cpu busy percentage exceedes threshold value is greater than preset times, obtain the maximum in all comparative parameters, and calculate respectively comparative parameter and the described peaked difference of each business.Then, if the absolute value of all differences is all less than or equal to preset value, determine the resource distribution that need to adjust all business, if exist the absolute value of described difference to be greater than described preset value, determine the resource distribution that need to adjust the corresponding business of described difference, wherein, determine application service to be adjusted in business to be adjusted according to the period importance parameter of application service, adjustment difficulty parameter and influence degree parameter.So, realize the automatic distribution adjustment of server resource, thereby guarantee the resource that each application service is required, rationally utilize the resource of server simultaneously.
Brief description of the drawings
Accompanying drawing described herein is used to provide a further understanding of the present invention, forms the application's a part, and schematic description and description of the present invention is used for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Figure 1 shows that the flow chart of the server resource auto-allocation method that preferred embodiment according to the present invention provides;
Figure 2 shows that the schematic diagram of the server resource automatic distribution system that preferred embodiment according to the present invention provides.
Embodiment
Hereinafter also describe the present invention in detail with reference to accompanying drawing in conjunction with the embodiments.It should be noted that, in the situation that not conflicting, the feature in embodiment and embodiment in the application can combine mutually.
Figure 1 shows that the flow chart of the server resource auto-allocation method that preferred embodiment according to the present invention provides.As shown in Figure 1, the server resource auto-allocation method that preferred embodiment of the present invention provides comprises step 101～104.
In step 101, receiver obtains period importance parameter, adjustment difficulty parameter and the influence degree parameter of each application service from memory.
For example, if moving nginx, memcache, mysqld, php-cgi and mail application service in a station server.The period importance parameter example of above-mentioned application service is as shown in the table.
In the present embodiment, period importance parameter for example represents by seven grades, do not use (0), very inessential (1), inessential (2), generally important (3), important (4), quite important (5), extremely important (6).Wherein, by numeral by period importance parameter quantification.In addition, upper table is only listed the relevant parameter data of several periods.But the present invention is not construed as limiting this.In practical application, can determine as required that each application service is in the period of each period importance parameter.
In addition,, in the present embodiment, adjustment difficulty parameter and the influence degree parameter example of above-mentioned application service are as shown in the table.But the present invention is not limited thereto.In practical application, can set according to actual conditions adjustment difficulty parameter and the influence degree parameter of each application service.
In step 102, the traffic carrying capacity index of the each business of receiver timing acquisition, wherein, each business comprises at least one application service, and the importance parameter of described business is determined by the period importance parameter of corresponding application service.
In the present embodiment, describe as an example of web business and mail service example.Wherein, web business comprises nginx, memcache, mysqld and php-cgi application service, and the importance parameter of described web business is definite by the period importance parameter of described nginx application service, and the importance parameter of described web business is consistent with the period importance parameter of ngnix application service.Mail service comprises mail application service, and the importance parameter of described mail service is determined by the period importance parameter of described mail application service.In addition, the traffic carrying capacity index of web business comprises page access number and maximum online number.The traffic carrying capacity index of mail service comprises transmission mail number, receives mail number and maximum mail treatment number of concurrent.
In step 103, maximum number of connections and importance parameter during according to the traffic carrying capacity index of each business, bottleneck, calculator calculates the comparative parameter of each business in preset period of time.Wherein, maximum number of connections obtains by pressure test when the bottleneck of each business.
Taking web business as example, the comparative parameter of described web business in described preset period of time (for example, is designated as w) the importance parameter of the page access occupation ratio for described preset period of time, the interior described web business of described preset period of time and the product of preset period of time processing bottleneck ratio.Wherein, the page access occupation ratio of described preset period of time (for example, be designated as the page access number that p) equals in preset period of time and all day page access number ratio, described preset period of time is for example processed bottleneck, than (, being designated as the ratio of maximum number of connections while a) equaling the online number of maximum of described preset period of time and bottleneck.For example, in the time that preset period of time was 0～1 period, from the period importance parameter table of comparisons of the application service in step 101, ngnix application service is 4 in the period of 0～1 period importance parameter, and web business is also 4 in the importance parameter of 0～1 period.So, 0～1 period, the comparative parameter w=p*a*4 of web business.
Taking mail service as example, the comparative parameter of described mail service in described preset period of time (for example, is designated as m) the importance parameter of the mail transmission/reception occupation ratio for described preset period of time, the interior described mail service of described preset period of time and the product of preset period of time processing bottleneck ratio.Wherein, the mail transmission/reception occupation ratio of described preset period of time (for example, be designated as y) equal to send mail number in preset period of time and receive mail number with value with send mail number all day and reception mail number with ratio value, described preset period of time is for example processed bottleneck, than (, being designated as the ratio of maximum number of connections while b) equaling the maximum mail treatment number of concurrent of described preset period of time and bottleneck.For example, from the period importance parameter table of comparisons of the application service in step 101, mail application service is 2 in the period of 0～1 period importance parameter, and mail service is also 2 in the importance parameter of 0～1 period.So, 0～1 period, the comparative parameter m=y*b*2 of mail service.
In step 104, controller is added up the cpu busy percentage of all application services in described preset period of time, if described cpu busy percentage exceedes the number of times of threshold value and is greater than preset times, obtain the maximum in all comparative parameters, and calculate respectively comparative parameter and the described peaked difference of each business, if the absolute value of all differences is all less than or equal to preset value, need the resource of adjusting all business to distribute, if exist the absolute value of described difference to be greater than described preset value, adjusting the resource of the corresponding business of described difference distributes, wherein, according to the period importance parameter of application service, adjust difficulty parameter and influence degree parameter and determine application service to be adjusted in business to be adjusted.
In the present embodiment, described threshold value is for example 80%.But the present invention does not limit the setting of threshold value.For example, controller is at the cpu busy percentage of five all application services of 0～1 period statistics.For example, for example, if described cpu busy percentage exceedes the number of times of threshold value (, 80%) and is less than or equal to preset times (, 3 times), for example, in described preset period of time (, 0～1 period), distribute without the resource of adjusting described business.For example, for example, if described cpu busy percentage exceedes the number of times of threshold value (80%) and is greater than preset times (, 3 times), obtain the maximum in all comparative parameters, and calculate respectively comparative parameter and the described peaked difference of each business.Still taking the web business in 0～1 period and mail service as example, if the comparative parameter w=1 of web business, the comparative parameter m=2 of mail service, the maximum of comparative parameter is got max=2, the absolute value of the difference of w and max is that the absolute value of the difference of 1, m and max is 0.Now, if preset value is 0.5, the absolute value of the difference of w and max is greater than described preset value (, 0.5), needs accordingly the resource of adjusting web business to distribute.Wherein, it should be noted that in the time that the business that needs to adjust has at least two the preferential business that comprises multiple application services of adjusting.
In the present embodiment, in the time determining that certain service needed is adjusted, if the period importance parameter of the application service that described business comprises is all more than or equal to parameter preset, calculate respectively the influence degree parameter and the ratio of adjusting difficulty parameter of each application service, and adjust the application service that described ratio is greater than the first default ratio; If the period importance parameter of the application service that described business comprises is less than described parameter preset, calculate respectively influence degree parameter and the ratio of adjusting difficulty parameter that described period importance parameter is less than the application service of described parameter preset, and adjust the application service that described ratio is greater than the second default ratio.Wherein, described parameter preset, the first default ratio and the second default ratio can be set as required.The present invention does not limit this.
Need to adjust web business as example taking 0～1 period, web business comprises nginx, memcache, mysqld and php-cgi application service.From period importance parameter, adjustment difficulty parameter and the influence degree parameter of each application service in step 101, in 0～1 period, the period importance parameter of above-mentioned four application services is all more than or equal to parameter preset (for example, 3).Now, calculate respectively the influence degree parameter and the ratio of adjusting difficulty parameter of above-mentioned four application services.For example, the influence degree parameter of nginx application service is 2 with the ratio of adjusting difficulty parameter, the influence degree parameter of memcache application service is 0.4 with the ratio of adjusting difficulty parameter, the influence degree parameter of mysqld application service is 10 with the influence degree parameter that the ratio of adjusting difficulty parameter is 1, php-cgi application service with the ratio of adjusting difficulty parameter.Now, if the first default ratio is 3, need the resource of adjusting php-cgi application service to distribute.
Figure 2 shows that the schematic diagram of the server resource automatic distribution system that preferred embodiment according to the present invention provides.As shown in Figure 2, the server resource automatic distribution system that preferred embodiment of the present invention provides comprises receiver 21, memory 20, calculator 22 and controller 23.Wherein, receiver 21 connected storage 20 and calculator 22 respectively, controller 23 connects respectively calculator 22 and memory 20.Receiver 21 is for obtaining period importance parameter, adjustment difficulty parameter and the influence degree parameter of each application service from memory 20.Receiver 21 is also for the traffic carrying capacity index of the each business of timing acquisition, and wherein, each business comprises at least one application service, and the importance parameter of described business is determined by the period importance parameter of corresponding application service.Calculator 22 is maximum number of connections and importance parameter when according to the traffic carrying capacity index of each business, bottleneck, calculates the comparative parameter of each business in preset period of time.Controller 23, for adding up the cpu busy percentage of all application services in described preset period of time, if described cpu busy percentage exceedes the number of times of threshold value and is greater than preset times, obtain the maximum in all comparative parameters, and calculate respectively comparative parameter and the described peaked difference of each business, if the absolute value of all differences is all less than or equal to preset value, need the resource of adjusting all business to distribute, if exist the absolute value of described difference to be greater than described preset value, adjusting the resource of the corresponding business of described difference distributes, wherein, according to the period importance parameter of application service, adjust difficulty parameter and influence degree parameter and determine application service to be adjusted in business to be adjusted.About the specific operation process of described system with described in said method, therefore repeat no more in this.In addition, above-mentioned receiver 21, memory 20, calculator 22 and controller 23 can all be positioned at server, or subelement is positioned at server, also or all elements be all positioned at outside server.But the present invention is not limited in any way this.
In sum, server resource auto-allocation method and system that according to the present invention, preferred embodiment provides, controller is by the cpu busy percentage of all application services in statistics preset period of time, and in the time that the number of times that cpu busy percentage exceedes threshold value is greater than preset times, obtain the maximum in all comparative parameters, and calculate respectively comparative parameter and the described peaked difference of each business.Then, if the absolute value of all differences is all less than or equal to preset value, determine the resource distribution that need to adjust all business, if exist the absolute value of described difference to be greater than described preset value, determine the resource distribution that need to adjust the corresponding business of described difference, wherein, determine application service to be adjusted in business to be adjusted according to the period importance parameter of application service, adjustment difficulty parameter and influence degree parameter.So, realize the automatic distribution adjustment of server resource, thereby guarantee the resource that each application service is required, rationally utilize the resource of server simultaneously.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (10)
1. a server resource auto-allocation method, is characterized in that, comprises the following steps:
Receiver obtains period importance parameter, adjustment difficulty parameter and the influence degree parameter of each application service from memory;
The traffic carrying capacity index of the each business of described receiver timing acquisition, wherein, each business comprises at least one application service, the importance parameter of described business is determined by the period importance parameter of corresponding application service;
Maximum number of connections and importance parameter during according to the traffic carrying capacity index of each business, bottleneck, calculator calculates the comparative parameter of each business in preset period of time;
Controller is added up the cpu busy percentage of all application services in described preset period of time, if described cpu busy percentage exceedes the number of times of threshold value and is greater than preset times, obtain the maximum in all comparative parameters, and calculate respectively comparative parameter and the described peaked difference of each business, if the absolute value of all differences is all less than or equal to preset value, need the resource of adjusting all business to distribute, if exist the absolute value of described difference to be greater than described preset value, adjusting the resource of the corresponding business of described difference distributes, wherein, according to the period importance parameter of application service, adjust difficulty parameter and influence degree parameter and determine application service to be adjusted in business to be adjusted, wherein, in the time that the business of needs adjustment has at least two, the preferential business that comprises multiple application services of adjusting.
2. server resource auto-allocation method according to claim 1, is characterized in that, when the bottleneck of each business, maximum number of connections obtains by pressure test.
3. server resource auto-allocation method according to claim 1, it is characterized in that, in the time that described business is web business, described web business comprises nginx, memcache, mysqld and php-cgi application service, and the importance parameter of described web business is determined by the period importance parameter of described nginx application service; In the time that described business is mail service, described mail service comprises mail application service, and the importance parameter of described mail service is determined by the period importance parameter of described mail application service.
4. server resource auto-allocation method according to claim 1, is characterized in that, in the time that described business is web business, the traffic carrying capacity index of described web business comprises page access number and maximum online number.
5. server resource auto-allocation method according to claim 4, it is characterized in that, the page access occupation ratio that the comparative parameter of described web business in described preset period of time is described preset period of time, in described preset period of time, the importance parameter of described web business and preset period of time are processed the product of bottleneck ratio, wherein, the page access occupation ratio of described preset period of time equal page access number in preset period of time and all day page access number ratio, the ratio of maximum number of connections when described preset period of time is processed bottleneck than the online number of the maximum that equals described preset period of time and bottleneck.
6. server resource auto-allocation method according to claim 1, is characterized in that, in the time that described business is mail service, the traffic carrying capacity index of described mail service comprises transmission mail number, receives mail number and maximum mail treatment number of concurrent.
7. server resource auto-allocation method according to claim 6, it is characterized in that, the mail transmission/reception occupation ratio that the comparative parameter of described mail service in described preset period of time is described preset period of time, in described preset period of time, the importance parameter of described mail service and preset period of time are processed the product of bottleneck ratio, wherein, the mail transmission/reception occupation ratio of described preset period of time equal to send mail number in preset period of time and receive mail number with value with send mail number all day and reception mail number with ratio value, the ratio of maximum number of connections when described preset period of time is processed bottleneck than the maximum mail treatment number of concurrent that equals described preset period of time and bottleneck.
8. server resource auto-allocation method according to claim 1, is characterized in that, is less than or equal to described preset times if described cpu busy percentage exceedes the number of times of described threshold value, in described preset period of time, distributes without the resource of adjusting described business.
9. server resource auto-allocation method according to claim 1, it is characterized in that, in the time determining that certain service needed is adjusted, if the period importance parameter of the application service that described business comprises is all more than or equal to parameter preset, calculate respectively the influence degree parameter and the ratio of adjusting difficulty parameter of each application service, and adjust the application service that described ratio is greater than the first default ratio
If the period importance parameter of the application service that described business comprises is less than described parameter preset, calculate respectively influence degree parameter and the ratio of adjusting difficulty parameter that described period importance parameter is less than the application service of described parameter preset, and adjust the application service that described ratio is greater than the second default ratio.
10. a server resource automatic distribution system, is characterized in that, comprises receiver, memory, calculator and controller, wherein, described receiver connects respectively described memory and described calculator, and described controller connects respectively described calculator and described memory
Described receiver, for obtain period importance parameter, adjustment difficulty parameter and the influence degree parameter of each application service from described memory,
Described receiver, also, for the traffic carrying capacity index of the each business of timing acquisition, wherein, each business comprises at least one application service, the importance parameter of described business is definite by the period importance parameter of corresponding application service,
Described calculator, maximum number of connections and importance parameter when according to the traffic carrying capacity index of each business, bottleneck, calculate the comparative parameter of each business in preset period of time,
Described controller, for adding up the cpu busy percentage of all application services in described preset period of time, if described cpu busy percentage exceedes the number of times of threshold value and is greater than preset times, obtain the maximum in all comparative parameters, and calculate respectively comparative parameter and the described peaked difference of each business, if the absolute value of all differences is all less than or equal to preset value, need the resource of adjusting all business to distribute, if exist the absolute value of described difference to be greater than described preset value, adjusting the resource of the corresponding business of described difference distributes, wherein, according to the period importance parameter of application service, adjust difficulty parameter and influence degree parameter and determine application service to be adjusted in business to be adjusted, wherein, in the time that the business of needs adjustment has at least two, the preferential business that comprises multiple application services of adjusting.
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| CN105939225B (en) * | 2016-06-23 | 2019-04-02 | 微梦创科网络科技（中国）有限公司 | A kind of method and device that business executes |
| CN108023759B (en) * | 2016-10-28 | 2020-11-03 | 腾讯科技（深圳）有限公司 | Self-adaptive resource scheduling method and device |
| CN106487916B (en) * | 2016-11-04 | 2020-01-10 | 苏州浪潮智能科技有限公司 | Statistical method and device for connection number |
| CN107608789A (en) * | 2017-08-31 | 2018-01-19 | 维沃移动通信有限公司 | The method and mobile terminal of a kind of system resource allocation |
| CN112817757B (en) * | 2021-01-25 | 2024-05-24 | 卓望数码技术（深圳）有限公司 | Pre-adjusted resource elastic allocation method and device, electronic equipment and storage medium |
| CN113590442B (en) * | 2021-06-30 | 2023-10-03 | 中国农业银行股份有限公司 | Host performance detection method and device, electronic equipment and storage medium |
| CN114064284B (en) * | 2021-11-23 | 2024-06-07 | 北京百度网讯科技有限公司 | Cloud server resource allocation method and device, electronic equipment and medium |
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| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20141015 |