CN104539673A - Method suitable for balancing cloud platform computing resources - Google Patents
Method suitable for balancing cloud platform computing resources Download PDFInfo
- Publication number
- CN104539673A CN104539673A CN201410795389.3A CN201410795389A CN104539673A CN 104539673 A CN104539673 A CN 104539673A CN 201410795389 A CN201410795389 A CN 201410795389A CN 104539673 A CN104539673 A CN 104539673A
- Authority
- CN
- China
- Prior art keywords
- computational resource
- cloud platform
- current
- computing resources
- resource
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention relates to the technical field of cloud computing, in particular to a method suitable for balancing could platform computing resources. The method comprises the steps that firstly, according to the applications operating at present, the average needed computing resources of each application are obtained through statistics; secondly, a preset resource ratio and a predication period are set; thirdly, the average number of the applications added every day is collected, and the average needed computing resources for updating each application are collected; fourthly, the number of currently balanced computing resources is computed; fifthly, the current cloud platform computing resources are counted; sixthly, the computing resource balancing index is obtained by subtracting the number of the current computing resources from the number of the balanced computing resources; seventhly, if the computing resource balancing index is larger than zero, it means that the number of the current computing resources can meet the demand for the application adding in the predication period, and if the computing resource balancing index is smaller than zero, it means that the number of the current computing resources cannot meet the demand for application adding in the predication period, and the computing resources need to be increased in advance. By the adoption of the method suitable for balancing the cloud platform computing resources, reasonable use and advanced judgment of the cloud platform computing resources are achieved, and the method can be used for management of the cloud platform computing resources.
Description
Technical field
The present invention relates to field of cloud computer technology, refer to a kind of method being applicable to balance cloud platform computational resource especially.
Background technology
Under cloud computing environment, the strategy of separately buying is followed in the construction of data center more, and namely server, storage, the network equipment, platform and application software etc. are independently purchased separately according to the needs of existing business, then integrated again mode.This reduces the initial acquisition cost of data center to a certain extent, meets the operation of current business application.But along with the continuous expansion of business, operation maintenance personnel increases all kinds of basic resources of cloud platform usually according to the micro-judgment of oneself, the management of cloud platform resource exists following drawback in this case:
1, the needs that later stage application increases cannot be met, when finding that cloud platform resource is not enough, just purchasing computational resource, can postpone to apply the time of reaching the standard grade.
2, add computational resource and depend on artificial judgment, general operation maintenance personnel needs the current computational resource of artificial judgment whether to meet application growth needs, needs to possess certain experience, and exists uncertain.
Summary of the invention
The technical problem that the present invention solves is to provide a kind of method being applicable to balance cloud platform computational resource.Solve the deficiency that conventional method exists, improve resource utilization, improve O&M efficiency, a kind of solution of the resource of EQUILIBRIUM CALCULATION FOR PROCESS is accurately provided.
The technical scheme that the present invention solves the problems of the technologies described above is:
Described method comprises the steps:
Step 1, according to computational resource needed for the average each application of current operation applied statistics;
Step 2, the reserved resource ratio of setting and predetermined period;
Step 3, gathers and increases application number and upgrade computational resource needed for average each application average every day;
Step 4, calculates current EQUILIBRIUM CALCULATION FOR PROCESS number of resources;
Step 5, adds up current cloud platform computational resource number;
Step 6, EQUILIBRIUM CALCULATION FOR PROCESS number of resources deducts current computational resource number and draws computational resource equilibrium index;
Step 7, is greater than the current computational resource number of 0 expression and can meets predetermined period interior application growth needs, is less than the current computational resource number of 0 expression and cannot meets application growth needs in predetermined period, should increase computational resource in advance.
Described computational resource, comprises CPU, memory source;
Computational resource needed for described average each application is the value of current cloud platform distributes calculation resources summation divided by number of applications.
Described reserved resource, refers to when there is calculation of natural resources mistake for meeting an urgent need, avoiding, can be used to the resource of meeting an urgent need;
Described predetermined period, refers to the periodic regime of required computational resource in following some cycles.
Described EQUILIBRIUM CALCULATION FOR PROCESS number of resources, namely the cloud platform the most applicable current computational resource number provided, can meet current computational resource requirement, can meet again application in predetermined period and increase requirement, also have reserved number of resources simultaneously.
Described current cloud platform computational resource number, the i.e. current computational resource number provided of cloud platform.
Method of the present invention can ensure the reasonable employment of cloud platform computational resource, can judge whether current computational resource meets later stage application and increase needs, reminds operation maintenance personnel to add computational resource in time in advance.Can also judge that whether current computational resource is too sufficient simultaneously, the computational resource making in the operation maintenance personnel closedown current short time not use can be reminded, save the electricity charge.Method of the present invention improves the accuracy that computational resource adds or reduces, by gathering cloud platform application growth trend and the required computational resource of average application, draw current cloud platform in balance resources index, to adding accurately with operation maintenance personnel or reducing computational resource numerical value, without the need to leaning on operation maintenance personnel micro-judgment.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, the present invention is further described:
Fig. 1 is flow chart of the present invention.
Embodiment
Embodiments of the present invention have multiple, for desktop cloud platform, wherein a kind of implementation method are described here, and as shown in Figure 1, specific implementation process is as follows for flow chart:
1, according to computational resource needed for the average each application of current operation applied statistics;
2, the reserved resource ratio of setting and predetermined period;
3, gather and increase application number and upgrade computational resource needed for average each application average every day;
4, current EQUILIBRIUM CALCULATION FOR PROCESS number of resources is calculated;
EQUILIBRIUM CALCULATION FOR PROCESS number of resources deducts current computational resource number and draws computational resource equilibrium index, be greater than the current computational resource number of 0 expression and can meet application growth needs in predetermined period, be less than the current computational resource number of 0 mark and cannot meet application growth needs in predetermined period, computational resource should be increased in advance.
Claims (7)
1. be applicable to the method balancing cloud platform computational resource, it is characterized in that:
Described method comprises the steps:
Step 1, according to computational resource needed for the average each application of current operation applied statistics;
Step 2, the reserved resource ratio of setting and predetermined period;
Step 3, gathers and increases application number and upgrade computational resource needed for average each application average every day;
Step 4, calculates current EQUILIBRIUM CALCULATION FOR PROCESS number of resources;
Step 5, adds up current cloud platform computational resource number;
Step 6, EQUILIBRIUM CALCULATION FOR PROCESS number of resources deducts current computational resource number and draws computational resource equilibrium index;
Step 7, is greater than the current computational resource number of 0 expression and can meets predetermined period interior application growth needs, is less than the current computational resource number of 0 expression and cannot meets application growth needs in predetermined period, should increase computational resource in advance.
2. the method being applicable to balance cloud platform computational resource according to claim 1, is characterized in that: described computational resource, comprises CPU, memory source;
Computational resource needed for described average each application is the value of current cloud platform distributes calculation resources summation divided by number of applications.
3. the method being applicable to balance cloud platform computational resource according to claim 1, is characterized in that:
Described reserved resource, refers to when there is calculation of natural resources mistake for meeting an urgent need, avoiding, can be used to the resource of meeting an urgent need;
Described predetermined period, refers to the periodic regime of required computational resource in following some cycles.
4. the method being applicable to balance cloud platform computational resource according to claim 2, is characterized in that:
Described reserved resource, refers to when there is calculation of natural resources mistake for meeting an urgent need, avoiding, can be used to the resource of meeting an urgent need;
Described predetermined period, refers to the periodic regime of required computational resource in following some cycles.
5. being applicable to according to any one of Claims 1-4 balances the method for cloud platform computational resource, it is characterized in that:
Described EQUILIBRIUM CALCULATION FOR PROCESS number of resources, namely the cloud platform the most applicable current computational resource number provided, can meet current computational resource requirement, can meet again application in predetermined period and increase requirement, also have reserved number of resources simultaneously.
6. being applicable to according to any one of Claims 1-4 balances the method for cloud platform computational resource, it is characterized in that: described current cloud platform computational resource number, the i.e. current computational resource number provided of cloud platform.
7. the method being applicable to balance cloud platform computational resource according to claim 5, is characterized in that: described current cloud platform computational resource number, the i.e. current computational resource number provided of cloud platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410795389.3A CN104539673A (en) | 2014-12-18 | 2014-12-18 | Method suitable for balancing cloud platform computing resources |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410795389.3A CN104539673A (en) | 2014-12-18 | 2014-12-18 | Method suitable for balancing cloud platform computing resources |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104539673A true CN104539673A (en) | 2015-04-22 |
Family
ID=52855140
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410795389.3A Pending CN104539673A (en) | 2014-12-18 | 2014-12-18 | Method suitable for balancing cloud platform computing resources |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104539673A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106375115A (en) * | 2016-08-30 | 2017-02-01 | 东软集团股份有限公司 | Resource distribution method and device |
| CN108011764A (en) * | 2017-12-07 | 2018-05-08 | 国云科技股份有限公司 | A kind of method for predicting more cloud platform storage resource increments |
| CN108023834A (en) * | 2016-11-03 | 2018-05-11 | 中国移动通信集团广东有限公司 | A kind of cloud resource auto-allocation method and device |
| CN113760528A (en) * | 2020-12-24 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Resource processing method and device based on multi-cloud platform |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102831013A (en) * | 2012-07-19 | 2012-12-19 | 西安交通大学 | VOD (Video On Demand) application resource consumption prediction method based on virtual machine |
| CN102882984A (en) * | 2012-10-24 | 2013-01-16 | 曲阜师范大学 | Method for balancing resource load of cloud computing platform |
| CN103823718A (en) * | 2014-02-24 | 2014-05-28 | 南京邮电大学 | Resource allocation method oriented to green cloud computing |
| US20140365662A1 (en) * | 2013-03-15 | 2014-12-11 | Gravitant, Inc. | Configuring cloud resources |
-
2014
- 2014-12-18 CN CN201410795389.3A patent/CN104539673A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102831013A (en) * | 2012-07-19 | 2012-12-19 | 西安交通大学 | VOD (Video On Demand) application resource consumption prediction method based on virtual machine |
| CN102882984A (en) * | 2012-10-24 | 2013-01-16 | 曲阜师范大学 | Method for balancing resource load of cloud computing platform |
| US20140365662A1 (en) * | 2013-03-15 | 2014-12-11 | Gravitant, Inc. | Configuring cloud resources |
| CN103823718A (en) * | 2014-02-24 | 2014-05-28 | 南京邮电大学 | Resource allocation method oriented to green cloud computing |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106375115A (en) * | 2016-08-30 | 2017-02-01 | 东软集团股份有限公司 | Resource distribution method and device |
| CN106375115B (en) * | 2016-08-30 | 2019-12-03 | 东软集团股份有限公司 | Resource allocation methods and device |
| CN108023834A (en) * | 2016-11-03 | 2018-05-11 | 中国移动通信集团广东有限公司 | A kind of cloud resource auto-allocation method and device |
| CN108011764A (en) * | 2017-12-07 | 2018-05-08 | 国云科技股份有限公司 | A kind of method for predicting more cloud platform storage resource increments |
| CN113760528A (en) * | 2020-12-24 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Resource processing method and device based on multi-cloud platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103093288B (en) | Based on the partition power grid bus load prognoses system of weather information | |
| CN104995813B (en) | The method and apparatus that the output power reference value for energy-storage system is determined in wind generator system | |
| CN104539673A (en) | Method suitable for balancing cloud platform computing resources | |
| CN103353888B (en) | A kind of law court tries automatic division system and method | |
| WO2011146731A3 (en) | Leveraging smart-meters for initiating application migration across clouds for performance and power-expenditure trade-offs | |
| CN104572296B (en) | A kind of method for predicting cloud platform storage resource increment | |
| CN109002925A (en) | Traffic prediction method and apparatus | |
| SG10201809484SA (en) | Methods and systems for managing community information | |
| CN112945329A (en) | Method, device and terminal for determining irrigation water quantity of agricultural motor-pumped well | |
| CN102930178B (en) | A kind of load data method for detecting abnormality | |
| CN116991558A (en) | Computing power resource scheduling method, multi-architecture cluster, device and storage medium | |
| CN103699573A (en) | UGC (User Generated Content) tag clustering method and UGC tag clustering device for social platforms | |
| Coelho et al. | Analysis of diverse optimisation algorithms for pump scheduling in water supply systems | |
| CN103516792A (en) | Data deploying method based on network delay, network transmission energy consumption and server energy consumption | |
| GB2544367A (en) | Tool for planning crowd control measures | |
| CN105786152B (en) | A kind of control method and electronic equipment | |
| CN103606111A (en) | Integrated voltage qualified rate evaluation method | |
| CN104092729A (en) | Cloud computing method | |
| CN104793925A (en) | Microblog function allocating method and device | |
| WO2014088892A8 (en) | Methods, devices and systems for the generation of requests for quotes from aggregated construction-related and permitting information | |
| CN202524426U (en) | Enterprise cloud computing service application system | |
| CN104519082A (en) | Expansion method and device of cloud computation | |
| CN106327022B (en) | A kind of method of stable cascade hydropower power plant discharge fluctuation | |
| CN109063926A (en) | Plan generated energy determines method, system and terminal device in period | |
| CN104182909A (en) | Multi-core parallel successive approximation method of hydropower system optimal scheduling |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150422 |