CN103124274A - Method and device for virtually scheduling cloud computing - Google Patents
Method and device for virtually scheduling cloud computing Download PDFInfo
- Publication number
- CN103124274A CN103124274A CN2011103674534A CN201110367453A CN103124274A CN 103124274 A CN103124274 A CN 103124274A CN 2011103674534 A CN2011103674534 A CN 2011103674534A CN 201110367453 A CN201110367453 A CN 201110367453A CN 103124274 A CN103124274 A CN 103124274A
- Authority
- CN
- China
- Prior art keywords
- operation system
- carrying capacity
- traffic carrying
- threshold values
- limit threshold
- 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.)
- Granted
Links
Images
Abstract
The invention discloses a method and device for virtually scheduling cloud computing. The method comprises the following steps of: configuring a threshold sending interface and a traffic reporting interface both corresponding to a service system on a cloud platform; configuring an upper threshold and a lower threshold of the traffic of the service system; sending the upper threshold and the lower threshold to the service system through the threshold sending interface; monitoring the traffic of the service system and reporting a monitoring result to the cloud platform through the traffic reporting interface; and performing virtual scheduling based on the monitoring result. By monitoring the traffic of the service system and scheduling based on the preset upper and lower thresholds, the method and device for virtually scheduling the cloud computing realize a scheduling way of scheduling based on the traffic, reflect the practical scheduling condition more exactly and have the advantages of saving energy and reducing consumption.
Description
Technical field
The present invention relates to the cloud computing technology field, particularly relate to the virtual dispatching method of a kind of cloud computing and device.
Background technology
Turning to cloud computing (cloud computing), is the great change that industry will face.The appearance of various cloud platforms (cloud platforms) is one of most important link of this transformation.Platform allows the developer that the program of finishing writing is placed on " cloud " inner operation, or " cloud " the inner service that provides of use, or is all both.With the cloud platform application to concrete field, the communications field for example, the cloud platform can be according to the type of service of operation system, virtual some business virtual machines is set, and moves the business of operation system.Some business virtual machines are distributed on one or more main frame (physical machine), move corresponding business by main frame as hardware.
The general physical message Real-Time Scheduling business virtual machines such as central processing unit, hard disk or internal memory performance according to main frame of existing cloud computing scheduling.And in fact the business virtual machine performance is also little with the correlation of the operation system of reality, operation system might not wish to dispatch according to physical message fully, reach certain degree and work as traffic carrying capacity, need to dispatch the business virtual machine, when perhaps needing a plurality of physical machine to move this business, general cloud computing management platform can not be carried out migration scheduling.That is to say, existing cloud platform can not be realized the scheduling of service based amount.
Summary of the invention
The technical problem to be solved in the present invention is to provide the virtual dispatching method of a kind of cloud computing and device, can not realize the problem of service based amount scheduling in order to solve prior art medium cloud platform.
For solving the problems of the technologies described above, on the one hand, the invention provides the virtual dispatching method of a kind of cloud computing, said method comprising the steps of:
The configuration threshold values corresponding with operation system issues interface and traffic carrying capacity reports interface on the cloud platform, and configures the upper and lower limit threshold values of described operation system traffic carrying capacity;
Described upper and lower limit threshold values is issued interface by described threshold values be handed down to described operation system;
Traffic carrying capacity to described operation system is monitored, and reports interface to report monitoring result to described cloud platform by described traffic carrying capacity;
According to described monitoring result, carry out virtual scheduling.
Further, described monitoring result comprises:
The traffic carrying capacity of described operation system is over described upper limit threshold values or lower than described lower limit threshold values.
Further, according to described monitoring result, carry out virtual scheduling, specifically comprise:
When the described monitoring result traffic carrying capacity that is described operation system surpasses described upper limit threshold values, start a main frame that is in closed condition, and start the business virtual machine on this main frame;
The traffic carrying capacity balance dispatching of described operation system to all business virtual machines, and is continued the traffic carrying capacity of described operation system is monitored.
Further, according to described monitoring result, carry out virtual scheduling, specifically comprise:
When described monitoring result is the traffic carrying capacity of described operation system during lower than described lower limit threshold values, all the business virtual machine (vm) migrations on the main frame of least-loaded to other main frame, are then closed this main frame;
The traffic carrying capacity balance dispatching of described operation system to remaining all business virtual machines, and is continued the traffic carrying capacity of described operation system is monitored.
Further, when the traffic carrying capacity of described operation system is between described upper limit threshold values and described lower limit threshold values, continue the traffic carrying capacity of described operation system is monitored.
On the other hand, the present invention also provides a kind of cloud computing virtual dispatching device, and described device comprises:
Dispensing unit, the threshold values corresponding with operation system issues interface and traffic carrying capacity reports interface for configuring on the cloud platform, and configures the upper and lower limit threshold values of described operation system traffic carrying capacity;
Issue the unit, be used for that described upper and lower limit threshold values is issued interface by described threshold values and be handed down to described operation system;
Report the unit, be used for the traffic carrying capacity of described operation system is monitored, and report interface to report monitoring result to described cloud platform by described traffic carrying capacity;
Scheduling unit is used for according to described monitoring result, carries out virtual scheduling.
Further, described monitoring result comprises:
The traffic carrying capacity of described operation system is over described upper limit threshold values or lower than described lower limit threshold values.
Further, described scheduling unit specifically is used for:
When the described monitoring result traffic carrying capacity that is described operation system surpasses described upper limit threshold values, start a main frame that is in closed condition;
To the main frame of new startup, make the traffic carrying capacity balance dispatching of described operation system to All hosts a part of business virtual machine (vm) migration, and continue the traffic carrying capacity of described operation system is monitored.
Further, described scheduling unit specifically is used for:
When described monitoring result is the traffic carrying capacity of described operation system during lower than described lower limit threshold values, all the business virtual machines on a main frame are all moved on other main frame, then close this main frame;
The traffic carrying capacity balance dispatching of described operation system to remaining All hosts, and is continued the traffic carrying capacity of described operation system is monitored.
Further, the described unit that reports specifically is used for:
When the described traffic carrying capacity that reports the described operation system of unit monitoring is between described upper limit threshold values and described lower limit threshold values, continue the traffic carrying capacity of described operation system is monitored.
Beneficial effect of the present invention is as follows:
The present invention dispatches according to the upper and lower limit threshold values that sets in advance by monitoring operation system traffic carrying capacity, has realized the scheduling mode that the service based amount is dispatched, and has reflected actual scheduling situation, and is more accurate, and has advantages of energy-saving and cost-reducing.
Description of drawings
Fig. 1 is the flow chart of the virtual dispatching method of a kind of cloud computing in the embodiment of the present invention;
Fig. 2 is the flow chart of the virtual dispatching method of another cloud computing in the embodiment of the present invention;
Fig. 3 is the structural representation of the virtual dispatching device of a kind of cloud computing in the embodiment of the present invention.
Embodiment
In order to solve the problem that can not realize the scheduling of service based amount in prior art, the invention provides the virtual dispatching method of a kind of cloud computing and device, below in conjunction with accompanying drawing and embodiment, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, does not limit the present invention.
The main purpose of the embodiment of the present invention is to provide a kind of virtual dispatching method of cloud computing and device of service based amount, and the information of the system that can arrange and accept business is dispatched according to business characteristic.Technical scheme comprises and traffic carrying capacity dispatch interface, configuration service amount scheduling threshold values is set, issues threshold values to operation system, service system monitoring traffic carrying capacity, operation system and report, report according to operation system and dispatch six steps.
As shown in Figure 1, the embodiment of the present invention relates to the virtual dispatching method of a kind of cloud computing, comprises the following steps:
Step S101, the configuration threshold values corresponding with operation system issues interface and traffic carrying capacity reports interface on the cloud platform, and configures the upper and lower limit threshold values of described operation system traffic carrying capacity;
In this step, the dispatch interface of definition traffic carrying capacity on the cloud platform, interface comprise that the threshold values of the setting of cloud platform and issuing service amount threshold values issues interface and operation system reporting service amount information and reports interface to the traffic carrying capacity of cloud platform.The cloud platform provides unified interface format, and as long as each operation system is according to this form, just can realize and the docking of cloud platform.
The cloud platform provides the unified scheduling configuration page, and after the login scheduling configuration page, the page can present configuration item according to the dispatch interface of configuration.Usually two threshold values of upper and lower bound that need configuration service system business amount.The concrete numerical value of upper and lower limit threshold values can have more the experience setting, also can carry out emulation by l-G simulation test and obtain; Perhaps obtain optimal values by repeatedly adjusting.
In addition, usually to a plurality of operation systems should be arranged, therefore, when being configured, also need the ID (IDentity, identify label number) of configuration service system due to the cloud platform, like this, the cloud platform just can be distinguished different operation systems.
Step S102 issues interface with described upper and lower limit threshold values by described threshold values and is handed down to described operation system;
In this step, the cloud platform is according to operation system title (ID), issues by threshold values the upper and lower limit threshold values that interface will be corresponding with this operation system and sends to this operation system.
Step S103 monitors the traffic carrying capacity of described operation system, and reports interface to report monitoring result to described cloud platform by described traffic carrying capacity;
In this step, operation system need to have the function of the own traffic carrying capacity of monitoring, and traffic carrying capacity is judged, judges that whether it is over upper limit threshold values or lower than the lower limit threshold values.Traffic carrying capacity can be presented as percentage, perhaps the form of concrete numerical value.
The situation of change of service system monitoring traffic carrying capacity, if find that traffic carrying capacity reaches the threshold values of setting, (surpass upper limit threshold values or lower than the lower limit threshold values), and state and report for the last time inconsistent, think that service needed dispatches, need to send out message to the cloud platform.Traffic carrying capacity by definition reports interface to report monitoring result to arrive the cloud platform.Report content to comprise operation system sign (operation system title) and threshold values state.The threshold values state can be for surpassing upper limit threshold values or lower than the lower limit threshold values.Wherein, operation system sign is used for to the main frame situation of cloud platform area separate service virtual machine operation, the dispatching party that the threshold values state is used for instructing the cloud platform to.
Step S104 according to described monitoring result, carries out virtual scheduling.
The data that operation system reports comprise traffic ID and threshold values state, after the cloud platform is received, according to the threshold values state be converted to specific dispatching party to.If reach lower limit, dispatching party is to for energy-saving and cost-reducing; If reach the upper limit, dispatching party is to being load balancing.All by the realization of cloud platform, operation system does not need to be concerned about the specific implementation of scheduling in scheduling.But operation system need to be monitored the equipment operation of oneself, finds the startup of business virtual machine and stops.
In this step, when monitoring result is that traffic carrying capacity surpasses upper limit threshold values, show that current need business to be processed is more, need to increase main frame and process, therefore, carrying out virtual scheduling is to open a main frame; Then average load, be about to traffic carrying capacity and be averagely allocated on All hosts.For example, a kind of scheduling mode is: with load the most a part of business virtual machine (vm) migration of high main frame move to the main frame of new startup.When monitoring result is traffic carrying capacity during lower than the lower limit threshold values, show that current need business to be processed is less, should close some main frames, be beneficial to save energy and reduce the cost.Therefore, carrying out virtual scheduling is to close a main frame.But before closing this main frame, need to first carry out average load, on the main frame that soon all business virtual machine (vm) migrations of this main frame are moving to other, make business be averagely allocated to remaining All hosts.Usually, close according to the order that the load of main frame is ascending, that is to say, preferentially with the business scheduling virtual machine of least-loaded to other main frame, then close the main frame of least-loaded.
Below, in conjunction with a specific embodiment, be elaborated.
As shown in Figure 2, the virtual dispatching method of the related a kind of cloud computing of the embodiment of the present invention comprises the following steps:
Step S201 arranges the traffic carrying capacity dispatch interface;
In this step, the cloud platform provides unified interface format (interface format sees Table 1), like this cloud platform just can with the miscellaneous service system docking, unified development specifications, thereby also simplified the development difficulty of operation system.
Table 1
When the corresponding a plurality of operation system of cloud platform, after the interface exploitation of operation system is completed, then define in the cloud platform, the cloud platform just can be known to that operation system sending valve Value Data like this, the data that the while also could the correct system of accepting business reports.Because interface definition does not relate to concrete business tine and the details of service operation, so the exploitation of interface is non-intrusion type, avoided the impact of interface on business itself for operation system.
Step S202, configuration service amount scheduling threshold values;
In this step, operation system realizes the registration of business by definition informing business platform, and because interface is fixed, so the cloud platform just can provide the unified scheduling configuration page (page is as shown in table 2), and inside realizes distinguishing by service key.On webpage representation, the user can select title, the descriptor of required configuration service, and passes through the bound threshold values of input frame configuration service amount.
Table 2
Step S203, cloud platform issuing service amount scheduling threshold values is to operation system;
Submission after page configuration is completed, the cloud platform calls threshold values and issues interface according to the Business Name (traffic ID) of selecting, and upper limit threshold values, lower limit threshold values are issued to the operation system corresponding with Business Name.After operation system was received information, whether response arranged the upper and lower limit threshold values successful, and the cloud platform represents the page according to the information of returning.When the cloud platform for some reason, when the upper and lower limit threshold values that issues went wrong, for example the upper and lower limit threshold values was 200%, operation system responds that the upper and lower limit threshold values is set is unsuccessful to the cloud platform.
Step S204, operation system is monitored traffic carrying capacity;
The ruuning situation of service system monitoring self belongs to the basic function of operation system, so there is not too many development, operation system is as long as add the judgement of traffic carrying capacity in monitoring.Traffic carrying capacity can be presented as percentage, the perhaps form of concrete numerical value, and this is completed voluntarily by operation system.
Step S205 judges that the traffic carrying capacity of operation system whether lower than the lower limit threshold values, if so, turns step S206, if not, turns step S207;
Step S206, when the traffic carrying capacity of operation system during lower than the lower limit threshold values, operation system reports interface that monitoring result is sent to the cloud platform by traffic carrying capacity, notice cloud platform starts energy-saving and cost-reducing scheduling method, that is: the business virtual machine with a main frame all moves on other main frame that is moving, and then closes this main frame; During migration business virtual machine, need to the traffic carrying capacity balance dispatching to the residual owners machine, carry out equally loaded.Usually, close according to the order that the load of main frame is ascending, that is to say, preferentially with the business scheduling virtual machine of least-loaded to other main frame, then close the main frame of least-loaded.After being finished, this step turns step S204;
Step S207 judges that the traffic carrying capacity of operation system whether higher than upper limit threshold values, if so, turns step S208, if not, turns step S204;
Step S208, when the traffic carrying capacity of operation system during higher than upper limit threshold values, operation system reports interface that monitoring result is sent to the cloud platform by traffic carrying capacity, notice cloud platform starting load balance dispatching pattern, that is: will start a main frame that is in closed condition, then with a part of business virtual machine (vm) migration to the main frame of new startup, during migration business virtual machine, should make the traffic carrying capacity balance dispatching to the main frame of all startups, carry out equally loaded.Usually, preferentially with a part of business virtual machine (vm) migration of load maximum to the main frame of new startup, carry out equally loaded.After being finished, this step turns step S204.
In the present embodiment, when the cloud platform changes or stop the current scheduling strategy, represent that flow process finishes.
In step S206, S208, each adjustment is all close or start a main frame, and then turns step S204, proceeds business amount monitor, when again triggering scheduling, closes again or starts a main frame.That is, the present embodiment is to adopt the mode of stepping to dispatch, and therefore, dispatching effect is better accurately.
In addition, the present embodiment also relates to a kind of virtual dispatching device of cloud computing of realizing said method, comprising:
Wherein, monitoring result comprises: the traffic carrying capacity of described operation system is over described upper limit threshold values or lower than described lower limit threshold values.
When the described monitoring result traffic carrying capacity that is described operation system surpasses described upper limit threshold values, start a main frame that is in closed condition;
To the main frame of new startup, make the traffic carrying capacity balance dispatching of described operation system to All hosts a part of business virtual machine (vm) migration, and continue the traffic carrying capacity of described operation system is monitored.
When described monitoring result is the traffic carrying capacity of described operation system during lower than described lower limit threshold values, all the business virtual machines on a main frame are all moved on other main frame, then close this main frame;
The traffic carrying capacity balance dispatching of described operation system to remaining All hosts, and is continued the traffic carrying capacity of described operation system is monitored.
When the traffic carrying capacity that reports the unit 303 described operation systems of monitoring is between described upper limit threshold values and described lower limit threshold values, continue the traffic carrying capacity of described operation system is monitored.
The concrete function of related each unit of this device embodiment has detailed description in embodiment of the method, based on concise and to the point consideration, the present embodiment is not being described in detail.
As can be seen from the above-described embodiment, the present invention dispatches according to the bound threshold values that sets in advance by monitoring operation system traffic carrying capacity, realized the scheduling mode that the service based amount is dispatched, reflected actual scheduling situation, more accurate, and have advantages of energy-saving and cost-reducing.
Although be the example purpose, the preferred embodiments of the present invention are disclosed, it is also possible those skilled in the art will recognize various improvement, increase and replacement, therefore, scope of the present invention should be not limited to above-described embodiment.
Claims (10)
1. the virtual dispatching method of cloud computing, is characterized in that, said method comprising the steps of:
The configuration threshold values corresponding with operation system issues interface and traffic carrying capacity reports interface on the cloud platform; And configure the upper and lower limit threshold values of described operation system traffic carrying capacity;
Described upper and lower limit threshold values is issued interface by described threshold values be handed down to described operation system;
Traffic carrying capacity to described operation system is monitored, and reports interface to report monitoring result to described cloud platform by described traffic carrying capacity;
According to described monitoring result, carry out virtual scheduling.
2. the virtual dispatching method of cloud computing as claimed in claim 1, is characterized in that, described monitoring result comprises:
The traffic carrying capacity of described operation system is over described upper limit threshold values or lower than described lower limit threshold values.
3. the virtual dispatching method of cloud computing as claimed in claim 2, is characterized in that, according to described monitoring result, carries out virtual scheduling, specifically comprises:
When the described monitoring result traffic carrying capacity that is described operation system surpasses described upper limit threshold values, start a main frame that is in closed condition;
To the main frame of new startup, make the traffic carrying capacity balance dispatching of described operation system to All hosts a part of business virtual machine (vm) migration, and continue the traffic carrying capacity of described operation system is monitored.
4. the virtual dispatching method of cloud computing as claimed in claim 2 or claim 3, is characterized in that, according to described monitoring result, carries out virtual scheduling, specifically comprises:
When described monitoring result is the traffic carrying capacity of described operation system during lower than described lower limit threshold values, all the business virtual machines on a main frame are all moved on other main frame, then close this main frame;
The traffic carrying capacity balance dispatching of described operation system to remaining All hosts, and is continued the traffic carrying capacity of described operation system is monitored.
5. the virtual dispatching method of cloud computing as claimed in claim 2, is characterized in that, when the traffic carrying capacity of described operation system is between described upper limit threshold values and described lower limit threshold values, continues the traffic carrying capacity of described operation system is monitored.
6. the virtual dispatching device of cloud computing, is characterized in that, described device comprises:
Dispensing unit, the threshold values corresponding with operation system issues interface and traffic carrying capacity reports interface for configuring on the cloud platform; And configure the upper and lower limit threshold values of described operation system traffic carrying capacity;
Issue the unit, be used for that described upper and lower limit threshold values is issued interface by described threshold values and be handed down to described operation system;
Report the unit, be used for the traffic carrying capacity of described operation system is monitored, and report interface to report monitoring result to described cloud platform by described traffic carrying capacity;
Scheduling unit is used for according to described monitoring result, carries out virtual scheduling.
7. the virtual dispatching device of cloud computing as claimed in claim 6, is characterized in that, described monitoring result comprises:
The traffic carrying capacity of described operation system is over described upper limit threshold values or lower than described lower limit threshold values.
8. the virtual dispatching device of cloud computing as claimed in claim 7, is characterized in that, described scheduling unit specifically is used for:
When the described monitoring result traffic carrying capacity that is described operation system surpasses described upper limit threshold values, start a main frame that is in closed condition;
To the main frame of new startup, make the traffic carrying capacity balance dispatching of described operation system to All hosts a part of business virtual machine (vm) migration, and continue the traffic carrying capacity of described operation system is monitored by the described unit that reports.
9. the virtual dispatching device of cloud computing as claimed in claim 7 or 8, is characterized in that, described scheduling unit specifically is used for:
When described monitoring result is the traffic carrying capacity of described operation system during lower than described lower limit threshold values, all the business virtual machines on a main frame are all moved on other main frame, then close this main frame;
The traffic carrying capacity balance dispatching of described operation system to remaining All hosts, and is continued the traffic carrying capacity of described operation system is monitored by the described unit that reports.
10. the virtual dispatching device of cloud computing as claimed in claim 7, is characterized in that, the described unit that reports specifically is used for:
When the described traffic carrying capacity that reports the described operation system of unit monitoring is between described upper limit threshold values and described lower limit threshold values, continue the traffic carrying capacity of described operation system is monitored.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110367453.4A CN103124274B (en) | 2011-11-18 | A kind of cloud computing virtualization dispatching method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110367453.4A CN103124274B (en) | 2011-11-18 | A kind of cloud computing virtualization dispatching method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103124274A true CN103124274A (en) | 2013-05-29 |
| CN103124274B CN103124274B (en) | 2016-12-14 |
Family
ID=
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103338387A (en) * | 2013-06-20 | 2013-10-02 | 上海大学 | Data packet scheduling method for performing combined optimization on energy consumption and video quality under cloud computation |
| CN104834584A (en) * | 2015-06-04 | 2015-08-12 | 深圳市中博科创信息技术有限公司 | Method and system for monitoring host computer hardware loads |
| CN104980496A (en) * | 2015-05-15 | 2015-10-14 | 江苏博智软件科技有限公司 | Virtual energy-saving dispatching method based on cloud computing load balance |
| TWI505111B (en) * | 2013-09-26 | 2015-10-21 | Chunghwa Telecom Co Ltd | Assist systems and methods for decentralized database to achieve automatic load balancing |
| CN106254166A (en) * | 2016-09-30 | 2016-12-21 | 中国银联股份有限公司 | A kind of cloud platform resource allocation method based on Disaster Preparation Center and system |
| CN108616377A (en) * | 2016-12-13 | 2018-10-02 | 中国电信股份有限公司 | Business chain virtual machine control method and system |
| US10929179B2 (en) | 2016-03-24 | 2021-02-23 | Huawei Technologies Co., Ltd. | Scheduling method and electronic device |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090113422A1 (en) * | 2007-10-31 | 2009-04-30 | Toshimitsu Kani | Dynamic allocation of virtual machine devices |
| CN101645782A (en) * | 2009-02-10 | 2010-02-10 | 中国科学院声学研究所 | Online billing method and system based on user traffic volume |
| CN101800762A (en) * | 2009-12-30 | 2010-08-11 | 中兴通讯股份有限公司 | Service cloud system for fusing multiple services and service implementation method |
| CN101859263A (en) * | 2010-06-12 | 2010-10-13 | 中国人民解放军国防科学技术大学 | Quick communication method between virtual machines supporting online migration |
| CN101894050A (en) * | 2010-07-28 | 2010-11-24 | 山东中创软件工程股份有限公司 | Method, device and system for flexibly scheduling JEE application resources of cloud resource pool |
| CN101968859A (en) * | 2010-09-29 | 2011-02-09 | 用友软件股份有限公司 | Business process management method and system based on cloud computing environment |
| CN102081554A (en) * | 2011-01-30 | 2011-06-01 | 浪潮(北京)电子信息产业有限公司 | Cloud computing operating system as well as kernel control system and method thereof |
| CN102158535A (en) * | 2011-02-10 | 2011-08-17 | 浪潮(北京)电子信息产业有限公司 | Cloud computing operating system |
| CN102185774A (en) * | 2011-05-10 | 2011-09-14 | 中兴通讯股份有限公司 | Method, monitor and system for seamless migration of virtual machine |
| CN102195824A (en) * | 2010-03-05 | 2011-09-21 | 中国移动通信集团公司 | Method, device and system for out-of-service alarm of data service system |
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090113422A1 (en) * | 2007-10-31 | 2009-04-30 | Toshimitsu Kani | Dynamic allocation of virtual machine devices |
| CN101645782A (en) * | 2009-02-10 | 2010-02-10 | 中国科学院声学研究所 | Online billing method and system based on user traffic volume |
| CN101800762A (en) * | 2009-12-30 | 2010-08-11 | 中兴通讯股份有限公司 | Service cloud system for fusing multiple services and service implementation method |
| CN102195824A (en) * | 2010-03-05 | 2011-09-21 | 中国移动通信集团公司 | Method, device and system for out-of-service alarm of data service system |
| CN101859263A (en) * | 2010-06-12 | 2010-10-13 | 中国人民解放军国防科学技术大学 | Quick communication method between virtual machines supporting online migration |
| CN101894050A (en) * | 2010-07-28 | 2010-11-24 | 山东中创软件工程股份有限公司 | Method, device and system for flexibly scheduling JEE application resources of cloud resource pool |
| CN101968859A (en) * | 2010-09-29 | 2011-02-09 | 用友软件股份有限公司 | Business process management method and system based on cloud computing environment |
| CN102081554A (en) * | 2011-01-30 | 2011-06-01 | 浪潮(北京)电子信息产业有限公司 | Cloud computing operating system as well as kernel control system and method thereof |
| CN102158535A (en) * | 2011-02-10 | 2011-08-17 | 浪潮(北京)电子信息产业有限公司 | Cloud computing operating system |
| CN102185774A (en) * | 2011-05-10 | 2011-09-14 | 中兴通讯股份有限公司 | Method, monitor and system for seamless migration of virtual machine |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103338387A (en) * | 2013-06-20 | 2013-10-02 | 上海大学 | Data packet scheduling method for performing combined optimization on energy consumption and video quality under cloud computation |
| CN103338387B (en) * | 2013-06-20 | 2016-05-25 | 上海大学 | The data packet dispatching method of energy consumption and video quality combined optimization under cloud computing |
| TWI505111B (en) * | 2013-09-26 | 2015-10-21 | Chunghwa Telecom Co Ltd | Assist systems and methods for decentralized database to achieve automatic load balancing |
| CN104980496A (en) * | 2015-05-15 | 2015-10-14 | 江苏博智软件科技有限公司 | Virtual energy-saving dispatching method based on cloud computing load balance |
| CN104834584A (en) * | 2015-06-04 | 2015-08-12 | 深圳市中博科创信息技术有限公司 | Method and system for monitoring host computer hardware loads |
| CN104834584B (en) * | 2015-06-04 | 2017-07-11 | 深圳市中博科创信息技术有限公司 | A kind of method and system for monitoring host hardware load |
| US10929179B2 (en) | 2016-03-24 | 2021-02-23 | Huawei Technologies Co., Ltd. | Scheduling method and electronic device |
| CN106254166A (en) * | 2016-09-30 | 2016-12-21 | 中国银联股份有限公司 | A kind of cloud platform resource allocation method based on Disaster Preparation Center and system |
| CN108616377A (en) * | 2016-12-13 | 2018-10-02 | 中国电信股份有限公司 | Business chain virtual machine control method and system |
| CN108616377B (en) * | 2016-12-13 | 2021-12-31 | 中国电信股份有限公司 | Service chain virtual machine control method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108829494B (en) | Container cloud platform intelligent resource optimization method based on load prediction | |
| CN104572307B (en) | The method that a kind of pair of virtual resource carries out flexible scheduling | |
| CN102508718B (en) | Method and device for balancing load of virtual machine | |
| CN103246546B (en) | Based on open electric system Numeral Emulation System and the emulation mode thereof of cloud | |
| CN106302074B (en) | Migration method and device of virtual network function VNF | |
| CN110502340A (en) | A kind of resource dynamic regulation method, device, equipment and storage medium | |
| CN107391317A (en) | A kind of method, apparatus of data recovery, equipment and computer-readable recording medium | |
| CN102262567A (en) | Virtual machine scheduling decision system, platform and method | |
| CN100589422C (en) | A simulated single board and its simulation method | |
| CN103346902B (en) | The method and system of data acquisition scheduling | |
| CN103179048A (en) | Method and system for changing main machine quality of service (QoS) strategies of cloud data center | |
| CN103299279A (en) | Resource scheduling method and device | |
| CN102707995A (en) | Service scheduling method and device based on cloud computing environments | |
| CN103095846A (en) | A method and a system of user personalized scheduling of cloud calculation resources | |
| CN102656936B (en) | Implementation method and device for base band resource pool in LTE base station | |
| WO2013082742A1 (en) | Resource scheduling method, device and system | |
| CN108287749A (en) | A kind of data center's total management system cloud resource dispatching method | |
| CN102096606A (en) | Virtual machine migration method, device and system | |
| CN104572279A (en) | Node binding-supporting virtual machine dynamic scheduling method | |
| CN104657195B (en) | A kind of resource binding method and device | |
| CN112235373A (en) | Cloud desktop scheduling system based on application AI and scheduling method thereof | |
| CN104391736B (en) | The park mode method to set up and device of virtual machine | |
| CN109697105A (en) | A kind of container cloud environment physical machine selection method and its system, virtual resource configuration method and moving method | |
| CN107203256A (en) | Energy-conservation distribution method and device under a kind of network function virtualization scene | |
| CN106325972B (en) | Virtual machine management method and network equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| CB03 | Change of inventor or designer information |
Inventor after: Liu Jun Inventor before: Qian Yan Inventor before: Chen Jun |
|
| COR | Change of bibliographic data | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20160908 Address after: 325036 Zhejiang, Ouhai, South East Road, No. 38, Wenzhou National University Science Park Incubator Applicant after: Wenzhou University Address before: 518057 Nanshan District Guangdong high tech Industrial Park, South Road, science and technology, ZTE building, Ministry of Justice Applicant before: ZTE Corp. |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20130529 Assignee: Tigerman Polytron Technologies Inc. Assignor: Wenzhou University Contract record no.: X2022330000707 Denomination of invention: A Cloud Computing Virtualization Scheduling Method and Device Granted publication date: 20161214 License type: Common License Record date: 20221202 |
|
| EE01 | Entry into force of recordation of patent licensing contract |