CN105426254A - Graded cloud computing resource customizing method and system - Google Patents
Graded cloud computing resource customizing method and system Download PDFInfo
- Publication number
- CN105426254A CN105426254A CN201510991984.9A CN201510991984A CN105426254A CN 105426254 A CN105426254 A CN 105426254A CN 201510991984 A CN201510991984 A CN 201510991984A CN 105426254 A CN105426254 A CN 105426254A
- Authority
- CN
- China
- Prior art keywords
- resource
- alarm
- user
- cloud computing
- computing resources
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5072—Grid computing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
- G06F11/324—Display of status information
- G06F11/327—Alarm or error message display
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/50—Indexing scheme relating to G06F9/50
- G06F2209/503—Resource availability
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Quality & Reliability (AREA)
- Mathematical Physics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a graded cloud computing resource customizing method and system, and relates to the field of cloud computing. The method includes the steps of configuring the resource reserving strategy, the customizing alarm grade, the set alarm threshold value, the alarm notice manufacturing template and the resource scaling manufacturing approval process according to demands of users, reserving cloud computing resources demanded by the users according to the demands of the users, monitoring the resource use rate when cloud computing resources provide service, triggering a resource alarm notice when the resource use rate does not conform to the alarm threshold value, sending the alarm notice to the users or automatically running cloud resource scaling, and when cloud resource scaling can not be automatically run, starting the approval process to complete cloud resource scaling. By means of the method and system, a cloud computing service provider can send alarm notices of different modes to the users according to the different resource alarm grades of lessees, the users are helped to conveniently customize cloud computing resources under the different limited environments, and high performance and high reliability of cloud services are ensured.
Description
Technical field
The present invention relates to field of cloud calculation, particularly relate to a kind of classification other cloud computing resources method for customizing and system.
Background technology
In existing cloud computing environment, cloud computing service provider provides corresponding reserved cloud computing resources according to tenant's demand, typical cloud computing resources comprises virtual cpu, virtual memory, virtual memory space and communication bandwidth, these resources are supplied to user in the mode of virtual machine or virtual container.In general, the computational resource that tenant reserves is more, and the expense that needs are paid is also more.From saving resource, the angle reducing O&M cost is considered, tenant only can reserve the resource of the more youngster of stock number used than current reality, and can not reserve and too much exceed current required resource.The problem that this resource reservation mode is brought is: the Rapid Variable Design that cannot meet tenant's portfolio.Particularly, when the sharp increase of tenant's portfolio time, reserved resource possibly cannot meet service needs, thus the performance causing tenant to serve reduces the situation that even normally cannot provide service.
In existing cloud computing environment, cloud computing service provider is had to provide system resource monitoring alarm function.When the CPU that tenant reserves, internal memory, storage space or communication bandwidth reach default utilization rate time, send resource alarm notice can to the system operation maintenance personnel of tenant, remind operation maintenance personnel to go the reserved more tenant's resource of application.But this notification mode has following problem:
1, this alarm may be neglected by operation maintenance personnel, particularly when notifying it is when section sends to operation maintenance personnel on one's own time.
Even if 2, operation maintenance personnel receives alarm notification, also may due to environment limit time notified, the system change that cannot log in cloud service provider in time arranges reserved resource.
3, operation maintenance personnel may cannot know the mode determining to change computational resource within the short time receiving alarm notification.
4, owing to changing reserved resource, particularly increasing computational resource may bring cost increase, and the personnel receiving alarm notification possibly cannot determine separately whether increase resource, and need the examination & approval of other staff.
Summary of the invention
The object of the present invention is to provide a kind of classification other cloud computing resources method for customizing and system, thus solve the foregoing problems existed in prior art.
To achieve these goals, other cloud computing resources method for customizing of classification of the present invention, the method comprises:
According to the demand resource allocation reservation policy according to user of user, customization alarm level, setting alarm threshold, make alarm notification template and make approval process when resource is stretched;
The cloud computing resources needed for user is reserved according to the demand of user;
At cloud computing resources for described user provides in the process of service, the utilization rate of monitoring resource, when resource utilization is more than or equal to alarm threshold, triggers resource alarm notification;
Alarm notification sent to described user or automatically run the flexible of cloud resource;
When cloud resource flexible can not run automatically, start approval process, complete the flexible of cloud resource.
Preferably, when configuration completes resource reservation policy, distribute to the sequence number that the resource reservation policy that obtains is unique.
Preferably, the described demand resource allocation reservation policy according to user, specifically according to following realization:
S1, obtains the alarm level that user needs the selected resource of establishing resource reservation policy;
S2, by the order of alarm level, activates according to the demand of user and configures the alerting service of any one alarm level, until activate and configured all alarm levels of described selected resource.
More preferably, step S2, specifically realizes according to following step:
S21, by the order of alarm level, judges whether user activates current alert level, if so, then activates current alert level, enter S22; If not, then do not activate current alert level, enter S22;
S22, according to the demand of user, the alerting service of configuration current alert level;
S23, returns S21, continues to judge next alarm level, until activate and configured all alarm levels of described selected resource.
More preferably, the configuration of the alerting service of any one alarm level, according to following realization:
A1, obtains the monitoring resource type of described selected resource and in current alert level, selectes the ratio of resource;
A2, according to the ratio of selected resource, judges whether current alert level exists the possibility needing directly flexible cloud computing resources, if so, then triggers directly flexible cloud computing resources, and prompting user resource allocation stretch mode, then enters A5; If not, then A3;
A3, judges whether current alert level is provided with approval process, if so, then and selected configuration approval process; If not, then A4 is entered;
A4, according to the monitoring resource type of selected resource and the O&M flow process of selected resource, generates corresponding alarm template, completes the alerting service configuration of current alert level;
A5, judge whether whether the monitoring resource type of selected resource also exists the residue alarm level not carrying out alerting service configuration, if had, then continue to residue alarm level configuration alerting service, until complete selected resource monitoring resource type all alarm levels alerting service configuration till; If no, complete the configuration of the alerting service of all alarm levels of monitoring resource type of selected resource.
Preferably, reserve the cloud computing resources needed for user according to the demand of user, specifically according to following realization:
Obtain and analyze the resource reservation policy that user selectes, obtaining reserved resource;
Preserve described reserved resource, start cloud computing service, cloud computing resources management calculates the service condition of described operating resource in real time.
Preferably, at cloud computing resources for described user provides in the process of service, the utilization rate of monitoring resource, when resource utilization is more than or equal to alarm threshold, triggers resource alarm notification module, specifically according to following realization:
According to the resource reservation policy of user's setting, start resource monitor service, the utilization rate of real-time monitoring resource A, judge whether the utilization rate of monitored resource A exceedes the alarm threshold of any one alarm level set in resource A reservation policy, if, then triggers resource alarm notification module is entered if not, then continue monitoring.
More preferably, alarm notification sent to described user or automatically run the flexible of cloud resource, specifically realizing according to following step:
C1, judges whether the alarm level of the alarm level E of triggers resource alarm notification module exists the possibility needing directly flexible cloud computing resources, if, then directly triggers resource stretches, and complete resource flexible after, generate resource alarm notice, send to user; If not, then C2 is entered;
C3, judges whether alarm level E supports that a key stretches;
If so, then the flexible strategy of the resource selected in advance according to user, generates the link that a key is flexible, and the link that a described key stretches is written to and searches from resource alarm notification module the alarm template conformed to described alarm level E, and sends to user;
If not, then search the alarm template conformed to described alarm level E from resource alarm notification module, and generate corresponding alarm notification and send to user.
More preferably, after alarm notification is sent to user and complete cloud resource flexible before, there are following steps:
After acquisition operation maintenance personnel proceeds the instruction of subsequent operation, judging that described resource stretches strategy the need of entering approval process, if so, then waiting for the examination & approval of top service, after receiving the result of examining and passing through, perform resource and stretch tactful; If not, then the cloud computing resources that the resource A that directly stretches reserves at alarm level E.
A system for other cloud computing resources of classification customization, this system comprises:
Resource reservation policy configuration module, according to the demand resource allocation reservation policy of user, customization alarm level, setting alarm threshold, makes alarm notification template and makes approval process when resource is stretched;
Cloud computing resources operation platform, for user provides cloud resource service;
Cloud computing resources administration module, reserves the cloud computing resources needed for user according to the demand of user, starts or stops cloud computing service;
Monitoring resource module, at cloud computing resources for described user provides in the process of service, the utilization rate of monitoring resource, when resource utilization is more than or equal to alarm threshold, triggers resource alarm notification module;
Resource alarm notification module, sends to described user or automatically runs the flexible of cloud resource by alarm notification;
O&M process module, when cloud resource flexible can not run automatically, starts approval process, completes the flexible of cloud resource.
The invention has the beneficial effects as follows:
The present invention proposes a kind of cloud computing resources method for customizing, enable the resource alarm rank that cloud computing service provider is different according to tenant, the alarm notification of different mode is sent to tenant's operation maintenance personnel, and help operation maintenance personnel to customize cloud computing resources easily under different constrained environments, ensure the high-performance of tenant cloud service and highly reliable.
According to the present invention, when the alarm threshold of General Notifications rank reaches, only send alarm notification to operation maintenance personnel, select how to process this alarm by operation maintenance personnel oneself; When the alarm threshold of more dangerous warning level reaches, while system sends alarm notification, allow operation maintenance personnel by the flexible link of a key comprised in notice, perform resource and stretch; When the most dangerous urgent warning level threshold reaches, system first performs resource and stretches, and then result notice operation maintenance personnel of resource being stretched.
Accompanying drawing explanation
Fig. 1 is the structure of present system, the service comprised and dependence each other;
Flow process when Fig. 2 is resource allocation reservation policy;
Fig. 3 is when realizing resource allocation reservation policy of the present invention, configures the system treatment scheme during warning strategies of certain concrete rank;
Fig. 4 is when realizing of the present invention, starts the system treatment scheme of cloud computing service user;
Fig. 5 is when realizing of the present invention, and in cloud computing service operational process, system monitoring cloud computing resources utilization rate, produces appropriate level alarm and do the flow process of respective handling;
Fig. 6 describes in one embodiment, the system treatment scheme of configuration notification rank warning strategies;
Fig. 7 describes in one embodiment, the system treatment scheme of configuration warning level warning strategies;
Fig. 8 describes in one embodiment, the system treatment scheme of configuration emergency level warning strategies.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with accompanying drawing, the present invention is further elaborated.Should be appreciated that embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
A kind of other cloud computing resources method for customizing of classification, the method comprises: according to the demand resource allocation reservation policy according to user, customization alarm level, the setting alarm threshold of user, make alarm notification template and make approval process when resource is stretched; The cloud computing resources needed for user is reserved according to the demand of user; At cloud computing resources for described user provides in the process of service, the utilization rate of monitoring resource, when resource utilization is more than or equal to alarm threshold, triggers resource alarm notification; Alarm notification sent to described user or automatically run the flexible of cloud resource; When cloud resource flexible can not run automatically, start approval process, complete the flexible of cloud resource.
More detailed explanation illustrates:
(1) when configuration completes resource reservation policy, the sequence number that the resource reservation policy that obtains is unique is distributed to.
(1) the described demand resource allocation reservation policy according to user, specifically according to following realization:
S1, obtains the alarm level that user needs the selected resource of establishing resource reservation policy; Alarm level is wherein no less than 1;
S2, by the order of alarm level, activates according to the demand of user and configures the alerting service of any one alarm level, until activate and configured all alarm levels of described selected resource.
Step S2, specifically realizes according to following step:
S21, by the order of alarm level, judges whether user activates current alert level, if so, then activates current alert level, enter S22; If not, then do not activate current alert level, enter S22;
S22, according to the demand of user, configures and preserves the alerting service of current alert level;
S23, judges whether also to exist the alarm level needing to carry out judging configuration, if, then return S21, until activate and configured all alarm levels of described selected resource, preserve the alerting service configured, if not, then the alerting service configured is preserved.
The configuration of the alerting service of any one alarm level, according to following realization:
A1, obtains the monitoring resource type of described selected resource and in current alert level, selectes the ratio of resource;
A2, according to the ratio of selected resource, judges whether current alert level exists the possibility needing directly flexible cloud computing resources, if so, then triggers directly flexible cloud computing resources, and prompting user resource allocation stretch mode, then enters A5; If not, then A3;
A3, judges whether current alert level is provided with approval process, if so, then and selected configuration approval process; If not, then A4 is entered;
A4, according to the monitoring resource type of selected resource and the O&M flow process of selected resource, generates corresponding alarm template, completes the alerting service configuration of current alert level;
A5, judge whether whether the monitoring resource type of selected resource also exists the residue alarm level not carrying out alerting service configuration, if had, then continue to residue alarm level configuration alerting service, until complete selected resource monitoring resource type all alarm levels alerting service configuration till; If no, complete the configuration of the alerting service of all alarm levels of monitoring resource type of selected resource.
(2) cloud computing resources needed for user is reserved according to the demand of user, specifically according to following realization: obtain and analyze the resource reservation policy that user selectes, obtaining reserved resource; Preserve described reserved resource, start cloud computing service, cloud computing resources management calculates the service condition of described operating resource in real time.
(3) at cloud computing resources for described user provides in the process of service, monitoring resource utilization rate, when resource utilization is more than or equal to alarm threshold, triggers resource alarm notification module, specifically according to following realization:
According to the resource reservation policy of user's setting, start resource monitor service, the utilization rate of real-time monitoring resource A, judge whether the utilization rate of monitored resource A exceedes the alarm threshold of any one alarm level set in resource A reservation policy, if, then triggers resource alarm notification module is entered if not, then continue monitoring.
(4) alarm notification sent to described user or automatically run the flexible of cloud resource, specifically realizing according to following step:
C1, judge whether the alarm level E of triggers resource alarm notification module exists the possibility needing directly flexible cloud computing resources, if so, then directly triggers resource stretches, and complete resource flexible after, generate resource alarm notice, send to user; If not, then C2 is entered;
C3, judges whether alarm level E supports that a key stretches;
If so, then the flexible strategy of the resource selected in advance according to user, generates the link that a key is flexible, and the link that a described key stretches is written to and searches from resource alarm notification module the alarm template conformed to described alarm level E, and sends to user;
If not, then search the alarm template conformed to described alarm level E from resource alarm notification module, and generate corresponding alarm notification and send to user.
Wherein, a key is flexible to be represented: unique service chaining address of generation, makes user once call realization by client to described service chaining address and triggers stretching to cloud computing resources.
Generate the flexible link of a key, specifically according to following realization: a certain specific expanding-contracting action that resource alarm notification module is corresponding according to a certain specific cloud computing resource pool of a certain specific user, a certain specific warnings rank, a certain specific resources alarm threshold generates the flexible link of a unique key; Make, when user stretches link by client call one key, stretching to cloud computing resources to be triggered by once mutual.
After alarm notification is sent to user and complete cloud resource flexible before, there are following steps:
After acquisition operation maintenance personnel proceeds the instruction of subsequent operation, judging that described resource stretches strategy the need of entering approval process, if so, then waiting for the examination & approval of top service, after receiving the result of examining and passing through, perform resource and stretch tactful; If not, then the cloud computing resources that the resource A that directly stretches reserves at alarm level E.
The customizable different resource warning strategies of the method for the invention and the flexible strategy of resource; There is provided resource reservation policy configuration service, configurable different resource utilization threshold value, corresponding different resource alarm advice method and disposal route; Be configurable on when threshold value reaches and only notify operation maintenance personnel, be configurable on when threshold value reaches and notify operation maintenance personnel and allow operation maintenance personnel one key to perform resource to stretch; Be configurable on and directly perform resource when threshold value reaches and stretch, then notify operation maintenance personnel.
The alarm level that the present invention mentions at least is divided into 3 grades: notify, warn, promptly, the concrete title of rank does not affect scope of the present invention.For the threshold value of resource utilization, notice < warns < urgent.When the resource utilization of notification level reaches, only notify operation maintenance personnel; When the resource utilization of warning level reaches, notice operation maintenance personnel also allows operation maintenance personnel one key execution resource to stretch; Directly perform resource to stretch when the threshold value of emergency level reaches, then notify operation maintenance personnel.
For the alerting service providing for operation maintenance personnel a key flexible, after the key obtaining operation maintenance personnel confirms, also may trigger an approval process, after approval process completes, perform cloud computing resources and stretch.
A system for other cloud computing resources of classification customization, this system comprises:
Resource reservation policy configuration module, according to the demand resource allocation reservation policy of user, customization alarm level, setting alarm threshold, makes alarm notification template and makes approval process when resource is stretched;
Cloud computing resources operation platform, for user provides cloud resource service;
Cloud computing resources administration module, reserves the cloud computing resources needed for user according to the demand of user, starts or stops cloud computing service;
Monitoring resource module, at cloud computing resources for described user provides in the process of service, the utilization rate of monitoring resource, when resource utilization is more than or equal to alarm threshold, triggers resource alarm notification module;
Resource alarm notification module, sends to described user or automatically runs the flexible of cloud resource by alarm notification;
O&M process module, when cloud resource flexible can not run automatically, starts approval process, completes the flexible of cloud resource.
Described user can be completed by client and customize the system of other cloud computing resources of classification customization.
By adopting technique scheme disclosed by the invention, obtain effect useful as follows:
The present invention proposes a kind of cloud computing resources method for customizing, enable the resource alarm rank that cloud computing service provider is different according to tenant, the alarm notification of different mode is sent to tenant's operation maintenance personnel, and help operation maintenance personnel to customize cloud computing resources easily under different constrained environments, ensure the high-performance of tenant cloud service and highly reliable.
According to the present invention, cloud computing service provider can according to the different resource alarm level of tenant's setting, the alarm notification of different mode is sent to tenant's operation maintenance personnel, and help operation maintenance personnel to customize cloud computing resources easily under different constrained environments, ensure the high-performance of tenant cloud service and highly reliable.When the alarm threshold of General Notifications rank reaches, only send alarm notification to operation maintenance personnel, select how to process this alarm by operation maintenance personnel oneself; When the alarm threshold of more dangerous warning level reaches, while system sends alarm notification, allow operation maintenance personnel by the flexible link of a key comprised in notice, perform resource and stretch; When the most dangerous urgent warning level threshold reaches, system first performs resource and stretches, and then result notice operation maintenance personnel of resource being stretched.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should look protection scope of the present invention.
Claims (10)
1. other cloud computing resources method for customizing of classification, it is characterized in that, the method comprises:
According to the demand resource allocation reservation policy according to user of user, customization alarm level, setting alarm threshold, make alarm notification template and make approval process when resource is stretched;
The cloud computing resources needed for user is reserved according to the demand of user;
At cloud computing resources for described user provides in the process of service, the utilization rate of monitoring resource, when resource utilization is more than or equal to alarm threshold, triggers resource alarm notification;
Alarm notification sent to described user or automatically run the flexible of cloud resource;
When cloud resource flexible can not run automatically, start approval process, complete the flexible of cloud resource.
2. system according to claim 1, is characterized in that, when configuration completes resource reservation policy, distributes to the sequence number that the resource reservation policy that obtains is unique.
3. system according to claim 1, is characterized in that, the described demand resource allocation reservation policy according to user, specifically according to following realization:
S1, obtains the alarm level that user needs the selected resource of establishing resource reservation policy;
S2, by the order of alarm level, activates according to the demand of user and configures the alerting service of any one alarm level, until activate and configured all alarm levels of described selected resource.
4. system according to claim 3, is characterized in that, step S2, specifically realizes according to following step:
S21, by the order of alarm level, judges whether user activates current alert level, if so, then activates current alert level, enter S22; If not, then do not activate current alert level, enter S22;
S22, according to the demand of user, the alerting service of configuration current alert level;
S23, returns S21, continues to judge next alarm level, until activate and configured all alarm levels of described selected resource.
5. system according to claim 3, is characterized in that, the configuration of the alerting service of any one alarm level, according to following realization:
A1, obtains the monitoring resource type of described selected resource and in current alert level, selectes the ratio of resource;
A2, according to the ratio of selected resource, judges whether current alert level exists the possibility needing directly flexible cloud computing resources, if so, then triggers directly flexible cloud computing resources, and prompting user resource allocation stretch mode, then enters A5; If not, then A3;
A3, judges whether current alert level is provided with approval process, if so, then and selected configuration approval process; If not, then A4 is entered;
A4, according to the monitoring resource type of selected resource and the O&M flow process of selected resource, generates corresponding alarm template, completes the alerting service configuration of current alert level;
A5, judge whether whether the monitoring resource type of selected resource also exists the residue alarm level not carrying out alerting service configuration, if had, then continue to residue alarm level configuration alerting service, until complete selected resource monitoring resource type all alarm levels alerting service configuration till; If no, complete the configuration of the alerting service of all alarm levels of monitoring resource type of selected resource.
6. system according to claim 1, is characterized in that, reserve the cloud computing resources needed for user according to the demand of user, specifically according to following realization:
Obtain and analyze the resource reservation policy that user selectes, obtaining reserved resource;
Preserve described reserved resource, start cloud computing service, cloud computing resources management calculates the service condition of described operating resource in real time.
7. system according to claim 1, is characterized in that, at cloud computing resources for described user provides in the process of service, the utilization rate of monitoring resource, when resource utilization is more than or equal to alarm threshold, triggers resource alarm notification module, specifically according to following realization:
According to the resource reservation policy of user's setting, start resource monitor service, the utilization rate of real-time monitoring resource A, judge whether the utilization rate of monitored resource A exceedes the alarm threshold of any one alarm level set in resource A reservation policy, if, then triggers resource alarm notification module is entered if not, then continue monitoring.
8. system according to claim 7, is characterized in that, alarm notification is sent to described user or automatically runs the flexible of cloud resource, specifically realizing according to following step:
C1, judges whether the alarm level of the alarm level E of triggers resource alarm notification module exists the possibility needing directly flexible cloud computing resources, if, then directly triggers resource stretches, and complete resource flexible after, generate resource alarm notice, send to user; If not, then C2 is entered;
C3, judges whether alarm level E supports that a key stretches;
If so, then the flexible strategy of the resource selected in advance according to user, generates the link that a key is flexible, and the link that a described key stretches is written to and searches from resource alarm notification module the alarm template conformed to described alarm level E, and sends to user;
If not, then search the alarm template conformed to described alarm level E from resource alarm notification module, and generate corresponding alarm notification and send to user.
9. system according to claim 8, is characterized in that, after alarm notification is sent to user and complete cloud resource flexible before, there are following steps:
After acquisition operation maintenance personnel proceeds the instruction of subsequent operation, judging that described resource stretches strategy the need of entering approval process, if so, then waiting for the examination & approval of top service, after receiving the result of examining and passing through, perform resource and stretch tactful; If not, then the cloud computing resources that the resource A that directly stretches reserves at alarm level E.
10. realize a system for other cloud computing resources method for customizing of classification as claimed in claim 1, it is characterized in that, this system comprises:
Resource reservation policy configuration module, according to the demand resource allocation reservation policy of user, customization alarm level, setting alarm threshold, makes alarm notification template and makes approval process when resource is stretched;
Cloud computing resources operation platform, for user provides cloud resource service;
Cloud computing resources administration module, reserves the cloud computing resources needed for user according to the demand of user, starts or stops cloud computing service;
Monitoring resource module, at cloud computing resources for described user provides in the process of service, the utilization rate of monitoring resource, when resource utilization is more than or equal to alarm threshold, triggers resource alarm notification module;
Resource alarm notification module, sends to described user or automatically runs the flexible of cloud resource by alarm notification;
O&M process module, when cloud resource flexible can not run automatically, starts approval process, completes the flexible of cloud resource.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510991984.9A CN105426254A (en) | 2015-12-24 | 2015-12-24 | Graded cloud computing resource customizing method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510991984.9A CN105426254A (en) | 2015-12-24 | 2015-12-24 | Graded cloud computing resource customizing method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105426254A true CN105426254A (en) | 2016-03-23 |
Family
ID=55504478
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510991984.9A Pending CN105426254A (en) | 2015-12-24 | 2015-12-24 | Graded cloud computing resource customizing method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105426254A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106020969A (en) * | 2016-05-05 | 2016-10-12 | 云神科技投资股份有限公司 | High-performance cloud computing hybrid computing system and method |
| CN106685521A (en) * | 2017-01-13 | 2017-05-17 | 国家电网公司 | Method and apparatus of predicting resource margin early warning for optical communication network |
| CN106789267A (en) * | 2016-12-27 | 2017-05-31 | 百视通网络电视技术发展有限责任公司 | public cloud management system and management method |
| CN107948297A (en) * | 2017-11-30 | 2018-04-20 | 云赛智联股份有限公司 | Suitable for the cloud management system of government affairs cloud |
| CN110389842A (en) * | 2019-07-26 | 2019-10-29 | 中国工商银行股份有限公司 | A kind of dynamic resource allocation method, device, storage medium and equipment |
| CN110677274A (en) * | 2019-08-26 | 2020-01-10 | 国信电子票据平台信息服务有限公司 | Event-based cloud network service scheduling method and device |
| CN111338788A (en) * | 2020-02-06 | 2020-06-26 | 福建天泉教育科技有限公司 | Resource quota approving method and storage medium |
| CN111385150A (en) * | 2020-03-09 | 2020-07-07 | 北京百度网讯科技有限公司 | Method and device for acquiring information |
| CN113936445A (en) * | 2021-10-18 | 2022-01-14 | 中国电子科技集团公司第三十四研究所 | Alarm linkage system and method based on application strategy |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7792992B2 (en) * | 2008-05-29 | 2010-09-07 | Xerox Corporation | Serverless distributed monitoring and anomaly detection for a service oriented architecture |
| CN101986274A (en) * | 2010-11-11 | 2011-03-16 | 东软集团股份有限公司 | Resource allocation system and resource allocation method in private cloud environment |
| CN103164279A (en) * | 2011-12-13 | 2013-06-19 | 中国电信股份有限公司 | Method and system for distributing cloud computing resources |
| CN103353853A (en) * | 2013-07-26 | 2013-10-16 | 浪潮电子信息产业股份有限公司 | Automatic load adjusting method |
| CN103986597A (en) * | 2014-05-09 | 2014-08-13 | 湖南蚁坊软件有限公司 | Automatic grading method for alarm threshold values |
| CN104954478A (en) * | 2015-06-23 | 2015-09-30 | 普元信息技术股份有限公司 | System and method for realizing automatic longitudinal scaling of server in cloud computing platform |
-
2015
- 2015-12-24 CN CN201510991984.9A patent/CN105426254A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7792992B2 (en) * | 2008-05-29 | 2010-09-07 | Xerox Corporation | Serverless distributed monitoring and anomaly detection for a service oriented architecture |
| CN101986274A (en) * | 2010-11-11 | 2011-03-16 | 东软集团股份有限公司 | Resource allocation system and resource allocation method in private cloud environment |
| CN103164279A (en) * | 2011-12-13 | 2013-06-19 | 中国电信股份有限公司 | Method and system for distributing cloud computing resources |
| CN103353853A (en) * | 2013-07-26 | 2013-10-16 | 浪潮电子信息产业股份有限公司 | Automatic load adjusting method |
| CN103986597A (en) * | 2014-05-09 | 2014-08-13 | 湖南蚁坊软件有限公司 | Automatic grading method for alarm threshold values |
| CN104954478A (en) * | 2015-06-23 | 2015-09-30 | 普元信息技术股份有限公司 | System and method for realizing automatic longitudinal scaling of server in cloud computing platform |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106020969A (en) * | 2016-05-05 | 2016-10-12 | 云神科技投资股份有限公司 | High-performance cloud computing hybrid computing system and method |
| CN106789267A (en) * | 2016-12-27 | 2017-05-31 | 百视通网络电视技术发展有限责任公司 | public cloud management system and management method |
| CN106789267B (en) * | 2016-12-27 | 2020-08-18 | 百视通网络电视技术发展有限责任公司 | Public cloud management system and management method |
| CN106685521B (en) * | 2017-01-13 | 2020-01-10 | 国家电网公司 | Method and device for resource allowance early warning of optical communication network |
| CN106685521A (en) * | 2017-01-13 | 2017-05-17 | 国家电网公司 | Method and apparatus of predicting resource margin early warning for optical communication network |
| CN107948297A (en) * | 2017-11-30 | 2018-04-20 | 云赛智联股份有限公司 | Suitable for the cloud management system of government affairs cloud |
| CN110389842A (en) * | 2019-07-26 | 2019-10-29 | 中国工商银行股份有限公司 | A kind of dynamic resource allocation method, device, storage medium and equipment |
| CN110677274A (en) * | 2019-08-26 | 2020-01-10 | 国信电子票据平台信息服务有限公司 | Event-based cloud network service scheduling method and device |
| CN111338788A (en) * | 2020-02-06 | 2020-06-26 | 福建天泉教育科技有限公司 | Resource quota approving method and storage medium |
| CN111338788B (en) * | 2020-02-06 | 2023-08-29 | 福建天泉教育科技有限公司 | Resource quota approval method and storage medium |
| CN111385150A (en) * | 2020-03-09 | 2020-07-07 | 北京百度网讯科技有限公司 | Method and device for acquiring information |
| US11704157B2 (en) | 2020-03-09 | 2023-07-18 | Beijing Baidu Netcom Science And Technology Co., Ltd. | Method and apparatus for comparing acquired cloud resource use information to thresholds to recommend a target cloud resource instance |
| CN113936445A (en) * | 2021-10-18 | 2022-01-14 | 中国电子科技集团公司第三十四研究所 | Alarm linkage system and method based on application strategy |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105426254A (en) | Graded cloud computing resource customizing method and system | |
| US8935319B2 (en) | Data capture system | |
| US9494623B2 (en) | High-voltage detector monitoring system | |
| CN109102427A (en) | A kind of wisdom water affairs management system and its workflow based on cloud computing | |
| CN109558301A (en) | A kind of distributed system data monitoring method, device and relevant device | |
| CN111612422B (en) | Emergency response method, device, storage medium and equipment | |
| US9882400B2 (en) | Power cabinet management method and apparatus, and battery management system | |
| CN106211227A (en) | Flow method for early warning and the network equipment | |
| CN104581806A (en) | Method and terminal for monitoring service system | |
| CN107222346A (en) | A kind of clustered node health status method for early warning and system | |
| CN112671622B (en) | Safety monitoring method and device based on intelligent mobile equipment and intelligent mobile equipment | |
| CN103208170A (en) | Multi-client alarm information receiving method and system | |
| JP6520644B2 (en) | Informing support device, informing support method, program and system | |
| CN109582531A (en) | Monitoring method, device and the electronic equipment of power distribution unit | |
| CN109257255A (en) | Traffic monitoring method, telephone watch, server and mobile terminal | |
| CN111427674A (en) | Micro-service management method, device and system | |
| CN110750425A (en) | Database monitoring method, device and system and storage medium | |
| CN106255285A (en) | A kind of long-range detectable emergency lighting and evacuation indication system | |
| CN107276856B (en) | Network detecting method, network detection device and intelligent terminal | |
| CN107368350A (en) | Cluster management method, system, storage medium and the electronic equipment of virtual payment machine | |
| CN108170464A (en) | A kind of version upgrading method, service platform and electronic equipment | |
| CN107168846A (en) | The monitoring method and device of electronic equipment | |
| CN109391659B (en) | Remote real-time monitoring method and system | |
| CN116112342A (en) | Alarm information processing method, device, electronic equipment and storage medium | |
| CN112730940B (en) | User electricity consumption monitoring method and system, computing equipment and storage medium thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160323 |