CN103414739B - Use Cloud Server automatic monitored control system and the method for automatic drift - Google Patents
Use Cloud Server automatic monitored control system and the method for automatic drift Download PDFInfo
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Abstract
The present invention relates to a kind of Cloud Server automatic monitored control system using automatic drift and method, the Cloud Server automatic monitored control system of employing automatic drift of the present invention and method, by Real-time Collection self performance index and/or the performance indications of the physical server at monitored cloud host performance index and place, and when the performance indications of the described monitor node self performance gathered and/or the physical server at monitored cloud host performance index and place reach to preset drift conditions, described monitor node is drifted about by the order according to described monitoring and scheduling server.The described system and method for the present invention drifts about automatically when monitor node performance reaches the bottleneck condition of certain predetermined, before the overload of monitor node own load or its place physical server generation load surcharge problem, realize shunting process, avoid impact or the interruption of monitoring service monitored cloud service performance caused because of the overload of monitor node, it is ensured that monitoring and the continuity of Business Processing.
Description
Technical field
The present invention relates to field of cloud calculation monitoring field, a kind of Cloud Server automatic monitored control system using automatic drift and method.
Background technology
Cloud computing Infrastructure platform is a complicated computing services platform, has variation, isomerism and the feature of dynamically change.For ensureing the properly functioning of cloud computing system and service, cloud monitoring system becomes its requisite part and guarantee, cloud monitoring system can reflect the health status of cloud platform in real time, and problem that cloud computing platform occurred can be processed in time and find the problem that cloud computing platform is potential, this serves critical effect for management and scheduling cloud computing system.Therefore, a good cloud monitoring system plays conclusive effect for the properly functioning of cloud computing system and maintenance.At present, quality for cloud monitoring system does not has clear and definite regulation, and current cloud monitoring system major part carries out deployment configuration by manual mode, it is the most all to use master-slave back-up mode that small part possesses automatically-monitored cloud monitoring system, i.e. when main monitoring server breaks down, its work is replaced by from monitoring server, calculating service peak period master server and same performance pressure can undertaken from server, whole system is made to delay machine, and lack the initiative carrying out in advance preventing, thus the continuity of monitoring business cannot be ensured.
Chinese patent literature CN102882909A discloses a kind of cloud computing service monitoring system, for the cloud computing system including cloud service node is monitored, including at least one cloud management node, multiple monitoring nodes, at least one main monitor node, wherein monitoring node is monitored according to the cloud service node from the service system to cloud computing of the monitor command received by main monitor node, and monitoring result is returned to main monitor node, main monitor node is for sending monitor command to detection node, collect the monitoring result that each monitoring node is returned, and show keeper, cloud management node is used for providing management function, described management function includes: create or delete described cloud service node, main monitor node, detection node；Dynamically adjust the configuration of described cloud service node.Cloud computing service monitoring system disclosed in above-mentioned patent document, it is just to have processed when server has delayed machine, use host node when breaking down, using and replace host node from node, in actual service application, main and subordinate node is to synchronize, as being because performance that Detection task causes and the situation of machine of delaying, likely principal and subordinate delays machine the most simultaneously, now cannot replace host node with from node, and then affect the continuity of whole cloud calculation service.And to create monitor node in above-mentioned patent document be not have diplomatic, each node of cloud computing system do not done any differentiation, some important core business systems so can be made to be affected, interrupt while causing monitoring business and core business.
Summary of the invention
The technical problem to be solved is cloud computing service monitoring system in prior art, use host node when breaking down, use and replace host node from node, monitoring data update delayed thus cause cloud service monitoring to interrupt, cause the technical problem of service disconnection, thus a kind of Cloud Server automatic monitored control system using automatic drift and method are provided.
For solving above-mentioned technical problem, the present invention is achieved by the following technical solutions:
A kind of Cloud Server automatic monitored control system using automatic drift, including:
Cloud host platform, including some cloud main frames, each described cloud main frame operates on some physical hosts, wherein, is connected by switch between physical host, some physical host one physical node of composition；
At least one manages virtual machine, and a described virtual management machine operates in a cloud main frame, and described virtual management machine farther includes:
Cloud host information collector, for gathering the cloud host information creating or destroying, and is sent to cloud resource management platform by the cloud host information collected；
Cloud resource management platform, receives and preserves the described cloud host information that described cloud host information collector sends, described cloud host information is sent to monitoring and scheduling server simultaneously；
Monitoring and scheduling server, receive the described cloud host information that described cloud resource management platform sends, and transfer to corresponding monitor node to be monitored the newly created cloud main frame according to drift strategy and will run the cloud main frame drift of described management virtual machine, and the information returned according to monitor node carries out strategy judgement；Meanwhile, the corresponding relation between record cloud main frame and monitor node；
Monitor node, for Real-time Collection self performance and the performance indications of the physical server at monitored cloud host performance index and described monitor node place, and determine drift when the performance indications of the described monitor node self performance gathered or the physical server at described monitor node place reach to preset drift conditions, and performed the drift to described monitor node by described monitoring and scheduling server；Performance indications at monitored cloud main frame reach to determine during default drift conditions drift, and are performed the drift to monitored described cloud main frame by described monitoring and scheduling server.
Described monitor node, farther includes:
Monitoring collector, for gathering the performance indications of the physical server at described monitor node self performance and monitored cloud host performance index and described monitor node place and being sent to analysis engine；
Policy library, preset policy template, storage has predefined drift conditions and drift strategy；
Analysis engine, described analysis engine receives described monitor node self performance and the monitored cloud host performance indication information that described monitoring collector sends, when the performance indications of described monitor node self performance or the physical server at described monitor node place reach the preset drift conditions of described policy library, call the drift strategy of described monitor node, described monitor node is drifted about；When performance indications at monitored cloud main frame reach default drift conditions, monitored described cloud main frame is drifted about.
Described drift strategy includes:
First-selected strategy: the physical node first drifted about when specifying drift to each cloud main frame；
Non-selection strategy: specify several physical nodes to cannot be used for when drift and create new cloud main frame；
Anti-phase associating policy: when specifying drift, physical node chooses the physical node not being to have deployed similar cloud main frame.
Described physical host is divided into several physical regions according to its action, and described physical region at least includes core system region and typically produces region；Further, described non-selection strategy is specified described core work region to be not used in and is created new cloud main frame when drift.
Described monitoring and scheduling server includes dispatching database, the cloud host information that described dispatching database creates out when cloud main frame creates or management virtual machine drifts about for record；Wherein, described cloud host information includes: the cloud host number that IP, the template of monitor node use and the monitor node that when cloud main frame is monitored, unique ID of monitor node, monitor node use has monitored.
Described management virtual machine provides api interface, and utilizes cloud main frame described in the template establishment that described management virtual machine provides, and after cloud main frame has created, cloud host information is sent to cloud resource management platform.
The cloud host information of described monitoring and scheduling server record each monitor node monitoring, described monitoring transfers server and receives described cloud host information, and according to the strategy distribution monitor task in the described drift strategy in described dispatching database.
Described monitor node also includes the monitoring software of the external api interface for automatically adding monitor command and monitor task.
Described cloud resource management platform also includes that user's assignment unit with different rights of api interface is called in the api interface operating described cloud host platform and imparting.
Described cloud host platform farther includes, and produces cloud host region and monitoring cloud host region, and wherein, described production cloud host region is responsible for processing cloud data；Described management virtual machine operates in described monitoring cloud host region.
Also should include Yunmen family, the api interface interconnection that described Yunmen family and described cloud resource management platform provide.
Simultaneously, it is provided that a kind of Cloud Server automatic monitoring method using automatic drift, comprise the steps:
S1: gather the cloud host information created or destroy and preserve；
S2: according to the described cloud host information creating or destroying gathered, and transfer to corresponding monitor node to be monitored in newly created cloud main frame according to drift strategy, and the information returned according to monitor node carries out strategy judgement；Meanwhile, the corresponding relation between record cloud main frame and monitor node；
The performance indications of the physical server at S3: monitor node Real-time Collection self performance and monitored cloud host performance index and described monitor node place, and when the performance indications of the described monitor node self performance gathered or the physical server at described monitor node place reach to preset drift conditions, according to the order of described monitoring and scheduling server, described monitor node is drifted about；When monitored cloud host performance index reaches to preset drift conditions, monitored described cloud main frame is drifted about.
The technique scheme of the present invention has the advantage that compared to existing technology
(1) the Cloud Server automatic monitored control system of employing automatic drift of the present invention and method, by Real-time Collection self performance and monitored cloud host performance index and described monitor node place physical server performance indications, and when the described monitor node self performance gathered and/or described monitor node place physical server performance indications reach to preset drift conditions, according to the order of described monitoring and scheduling server, described monitor node is drifted about；When performance indications in monitored cloud host performance index and/or monitored cloud main frame reach default drift conditions, described prosecution node and/or monitored described cloud main frame drift about.The described system and method for the present invention drifts about automatically when monitor node performance reaches the bottleneck condition of certain predetermined, before monitor node load surcharge, realize shunting process, monitoring service and/or monitored cloud main frame is avoided to interrupt because of overload, it is ensured that monitoring service processing and the continuity of business.Effectively prevent to use when host node generation performance fault in prior art replaces host node, monitoring data to update the delayed monitoring caused interruption, or the problem of the monitored load effect of cloud service performance from node.
(2) the Cloud Server automatic monitored control system of employing automatic drift of the present invention and method, policy module is used to carry out policy control, core business and general business are made a distinction simultaneously, core business physical node is avoided when drift, ensure not affect the normal operation of core business, it is ensured that the continuity of core business.
(3) the Cloud Server automatic monitored control system of employing automatic drift of the present invention and method, cloud resource management platform also includes that user's assignment unit with different rights of api interface is called in the api interface operating described cloud host platform and imparting, monitoring information is made to have different rights according to different people, can be realized subleasing the function of family and multiple management, and then realizes SAAS pattern.
Accompanying drawing explanation
In order to make present disclosure be more likely to be clearly understood, below in conjunction with the accompanying drawings, the present invention is further detailed explanation, wherein,
Fig. 1 is the structured flowchart of the management virtual machine of the Cloud Server automatic monitored control system of the employing automatic drift of one embodiment of the invention；
Fig. 2 is the structured flowchart of the monitor node of the Cloud Server automatic monitored control system of the employing automatic drift of one embodiment of the invention；
Fig. 3 is the method flow diagram of the Cloud Server automatic monitoring method of the employing automatic drift of one embodiment of the invention；
Fig. 4 is the cloud main frame drift schematic diagram of one embodiment of the present of invention.
Detailed description of the invention
Embodiment one:
A kind of Cloud Server automatic monitored control system using automatic drift as the embodiment of the present invention one, including: cloud host platform, described cloud host platform includes some cloud main frames, each described cloud main frame operates on some physical hosts, wherein, it is connected by switch between physical host, some physical host one physical node of composition；Each described cloud main frame is that described Cloud Server completes predetermined monitoring work or the fictitious host computer of vocational work, and wherein, the fictitious host computer being used for monitoring work is referred to as managing virtual machine, described management virtual machine at least；As it is shown in figure 1, a described management virtual machine, operate in a cloud main frame, described management virtual machine farther includes, cloud host information collector, for gathering the cloud host information creating or destroying, and is sent to cloud resource management platform by the described cloud host information gathered；Cloud resource management platform, receives and preserves the described cloud host information that described management virtual machine sends, described cloud host information is sent to monitoring and scheduling server simultaneously；Monitoring and scheduling server, receives the described cloud host information that described cloud resource management platform sends, and transfers to corresponding monitor node to be monitored in newly created cloud main frame according to monitoring strategies, and the information returned according to monitor node carries out strategy judgement；Meanwhile, the corresponding relation between record cloud main frame and monitor node；Monitor node, include monitoring software, for Real-time Collection self performance and monitored cloud host performance index and described monitor node place physical server performance indications, and determine drift when the described monitor node self performance gathered or described monitor node place physical server performance indications reach to preset drift conditions, and performed the drift to described monitor node by described monitoring and scheduling server；Wherein, the drift of described monitor node refers to the drift of the physical host that the management virtual machine at described monitor node place is corresponding, i.e. floats to load little physical host from the big physical host of load；Performance indications at monitored cloud main frame reach to determine during default drift conditions drift, and are performed the drift to monitored described cloud main frame by described monitoring and scheduling server；Shown in Figure 4, described drift refers to the migration carrying out the physical host (i.e. physical server) at described monitor node or described cloud main frame place, i.e. on new physics server, create new monitoring host computer when monitor node monitoring quantity overloads, it is ensured that the continuity of monitoring work；Or the cloud main frame creating new load capacity higher when the load of monitored described cloud main frame exceedes predetermined value completes corresponding vocational work, it is ensured that the continuity of vocational work.
Embodiment two:
As shown in Figure 2, on the basis of embodiment one, described monitor node comprises further: monitoring collector, for gathering described monitor node self performance and monitored cloud host performance index and described monitor node place physical server performance indications and being sent to analysis engine；Policy library, preset policy template, storage has predefined drift conditions and drift strategy；Analysis engine, receive described monitor node self performance and monitored cloud host performance index and described monitor node place physical server performance indications that described monitoring collector sends, when at least one index in self performance or described monitor node place physical server performance indications reaches the preset drift conditions of described policy library, call the drift strategy of described monitor node, described monitor node is drifted about；When monitored cloud host performance index reaches default drift conditions, monitored described cloud main frame is drifted about by the drift strategy calling described cloud main frame.As a kind of specific embodiment, described drift strategy includes first-selected tactful and anti-phase associating policy tactful, non-selection, wherein, the physical node that first content of described first-selected strategy drifts about when being and specify drift to each cloud main frame；Described non-selection strategy: specify several physical nodes to cannot be used for when drift and create new cloud main frame；Described anti-phase associating policy: when specifying drift, physical node chooses the physical node not being to have deployed similar cloud main frame.Correspondingly, described cloud host platform is built-up by several physical hosts, and described physical host is divided into several physical regions according to its action, and described physical region at least includes core system region and typically produces region；Further, core work region described in described non-selection policy development is not used in and creates new cloud main frame when drift.
Other embodiments as the present invention, on the basis of above-described embodiment, described monitoring and scheduling server includes dispatching database, and described dispatching database creates or manage, at cloud main frame, the cloud main frame or the monitoring system place cloud host information of drift creating out when virtual machine drifts about for record；Wherein, described cloud host information includes: the quantity that IP, the template of monitoring host computer use and the monitoring host computer that when cloud main frame is monitored, unique ID of monitoring host computer, monitoring host computer use has monitored.
The Cloud Server automatic monitored control system of the employing automatic drift described in invention and method, by Real-time Collection self performance and monitored cloud host performance index and described monitor node place physical server performance indications, and when the described monitor node self performance gathered or monitored cloud host performance index or described monitor node place physical server performance indications reach to preset drift conditions, according to the order of described monitoring and scheduling server, described monitor node or described cloud main frame are drifted about.The described system and method for the present invention drifts about automatically when monitor node performance reaches the bottleneck condition of certain predetermined, before monitor node performance is adversely effected, realize shunting process, the monitoring business avoiding monitor node interrupts, it is ensured that the continuity that monitoring business processes.Effectively prevent to use when host node breaks down in prior art and replace host node from node, monitoring data update delayed thus cause cloud service to monitor, or the problem of the monitored load effect of cloud service performance.
The Cloud Server automatic monitored control system of employing automatic drift of the present invention and method, policy module is used to carry out policy control, core business and general business are made a distinction simultaneously, core business physical node is avoided when drift, ensure not affect the normal operation of core business, it is ensured that the continuity of core business.
Other embodiments as the present invention, on the basis of above-described embodiment, described management virtual machine provides API(English full name to be ApplicationProgrammingInterface, the meaning is application programming interface) interface, and utilize cloud main frame described in the template establishment that described management virtual machine provides, and after cloud main frame has created, cloud host information is sent to cloud resource management platform.
Other embodiments as the present invention, on the basis of above-described embodiment, the cloud host information of described monitoring and scheduling server record each monitor node monitoring, described monitoring is transferred server and is received described cloud host information, and according to the strategy distribution monitor task in the described drift strategy in described dispatching database.
As other embodiments of the present invention, on the basis of above-described embodiment, described monitor node also includes the monitoring software of the external api interface for automatically adding monitor command and monitor task.
As other embodiments of the present invention, on the basis of above-described embodiment, described cloud resource management platform also includes that user's assignment unit with different rights of api interface is called in the api interface operating described cloud host platform and imparting.
As other embodiments of the present invention, on the basis of above-described embodiment, also should include Yunmen family, the api interface interconnection that described Yunmen family and described cloud resource management platform provide.
The Cloud Server automatic monitored control system of employing automatic drift of the present invention and method, cloud resource management platform also includes that user's assignment unit with different rights of api interface is called in the api interface operating described cloud host platform and imparting, monitoring information is made to have different rights according to different people, can be realized subleasing the function of family and multiple management, and then to realize SAAS(English full name be Software-as-a-service, the meaning is software operation service mode, the softest battalion pattern) pattern.
As other embodiments of the present invention, on the basis of above-described embodiment, described cloud host platform farther includes, and produces cloud host region and monitoring cloud host region, and wherein, described production cloud host region is responsible for processing cloud data；Described management virtual machine operates in described monitoring cloud host region.
Embodiment three:
As it is shown on figure 3, as a kind of Cloud Server automatic monitoring method using automatic drift of one embodiment of the invention, including:
S1: gather the cloud host information created or destroy and preserve；
S2: according to the described establishment gathered or the cloud host information of destruction, and transfer to corresponding monitor node to be monitored in newly created cloud main frame according to drift strategy, and the information returned according to monitor node carries out strategy judgement；Meanwhile, the corresponding relation between record cloud main frame and monitor node；
S3: monitor node Real-time Collection self performance and monitored cloud host performance index and described monitor node place physical server performance indications, and determine drift when the described monitor node self performance gathered or described monitor node place physical server performance indications reach to preset drift conditions, and performed the drift to described monitor node by described monitoring and scheduling server；Determine drift when monitored cloud host performance index reaches default drift conditions, and performed the drift to monitored described cloud main frame by described monitoring and scheduling server.
Obviously, above-described embodiment is only for clearly demonstrating example, and not restriction to embodiment.For those of ordinary skill in the field, can also make other changes in different forms on the basis of the above description.Here without also cannot all of embodiment be given exhaustive.And the obvious change thus extended out or variation still in the protection domain of the invention among.
Claims (12)
1. the Cloud Server automatic monitored control system using automatic drift, it is characterised in that including:
Cloud host platform, including some cloud main frames, each described cloud main frame operates on some physical hosts, wherein,
It is connected by switch between physical host, some physical host one physical node of composition；
At least one manages virtual machine, and a described management virtual machine operates in a cloud main frame, and described management virtual machine enters
One step includes:
Cloud host information collector, for gathering the cloud host information creating or destroying, and the cloud main frame letter that will collect
Breath is sent to cloud resource management platform；
Cloud resource management platform, receives and preserves the described cloud host information that described cloud host information collector sends, with
Time described cloud host information is sent to monitoring and scheduling server；
Monitoring and scheduling server, receives the described cloud host information that described cloud resource management platform sends, and according to drift
Newly created cloud main frame is transferred to corresponding monitor node to be monitored and will run the cloud main frame of described management virtual machine by strategy
Drift, and carry out strategy judgement according to the information of monitor node return；Meanwhile, record cloud main frame and monitor node between right
Should be related to；
Monitor node, for Real-time Collection self performance and monitored cloud host performance index and described monitor node institute
The performance indications of physical server, and at the described monitor node self performance gathered or the thing at described monitor node place
The performance indications of reason server determine drift when reaching to preset drift conditions, and are performed described by described monitoring and scheduling server
The drift of monitor node；Performance indications at monitored cloud main frame reach to determine drift during default drift conditions, and by institute
State monitoring and scheduling server and perform the drift to monitored described cloud main frame.
A kind of Cloud Server automatic monitored control system using automatic drift the most according to claim 1, it is characterised in that
Described monitor node, farther includes:
Monitoring collector, for gathering described monitor node self performance and monitored cloud host performance index and described monitoring
The performance indications of the physical server at node place are also sent to analysis engine；
Policy library, preset policy template, storage has predefined drift conditions and drift strategy；
Analysis engine, described analysis engine receives the described monitor node self performance and monitored that described monitoring collector sends
Cloud host performance indication information, when described monitor node self performance or the property of the physical server at described monitor node place
Can index when reaching the preset drift conditions of described policy library, call the drift strategy of described monitor node, to described monitoring joint
Point drifts about；When performance indications at monitored cloud main frame reach default drift conditions, to monitored described cloud master
Machine drifts about.
A kind of Cloud Server automatic monitored control system using automatic drift the most according to claim 2, it is characterised in that
Described drift strategy includes:
First-selected strategy: the physical node first drifted about when specifying drift to each cloud main frame；
Non-selection strategy: specify several physical nodes to cannot be used for when drift and create new cloud main frame；
Anti-phase associating policy: when specifying drift, physical node chooses the physical node not being to have deployed similar cloud main frame.
A kind of Cloud Server automatic monitored control system using automatic drift the most according to claim 3, it is characterised in that
Described physical host is divided into several physical regions according to its action, and described physical region at least includes core system
Region and typically produce region；Further, described non-selection strategy specifies described core work region to be not used in the establishment when drift
New cloud main frame.
5., according to the arbitrary described a kind of Cloud Server automatic monitored control system using automatic drift of claim 1-3, it is special
Levying and be, described monitoring and scheduling server includes dispatching database, described dispatching database for record cloud main frame create or
The cloud host information that management virtual machine creates out when drifting about；Wherein, described cloud host information includes: cloud main frame is supervised
IP, the template of monitor node use and the monitor node that during control, unique ID of monitor node, monitor node use has monitored
Cloud host number.
6., according to the arbitrary described a kind of Cloud Server automatic monitored control system using automatic drift of claim 1-3, it is special
Levying and be, described management virtual machine provides api interface, and utilizes cloud master described in the template establishment that described management virtual machine provides
Machine, and after cloud main frame has created, cloud host information is sent to cloud resource management platform.
A kind of Cloud Server automatic monitored control system using automatic drift the most according to claim 5, it is characterised in that
The cloud host information of described monitoring and scheduling server record each monitor node monitoring, described monitoring and scheduling server receives institute
State cloud host information, and according to the strategy distribution monitor task in the described drift strategy in described dispatching database.
8. according to the arbitrary described a kind of Cloud Server automatic monitored control system using automatic drift of claim 1-3, its feature
Being, described monitor node also includes the monitoring software of the external api interface for automatically adding monitor command and monitor task.
9., according to the arbitrary described a kind of Cloud Server automatic monitored control system using automatic drift of claim 1-3, it is special
Levy and be: described cloud resource management platform also includes that the api interface and the imparting that operate described cloud host platform are called
The user of api interface is with the assignment unit of different rights.
10., according to the arbitrary described a kind of Cloud Server automatic monitored control system using automatic drift of claim 1-3, it is special
Levying and be, described cloud host platform farther includes, and produces cloud host region and monitoring cloud host region, wherein, described life
Produce cloud host region to be responsible for cloud data are processed；Described management virtual machine operates in described monitoring cloud host region.
11. according to the arbitrary described a kind of Cloud Server automatic monitored control system using automatic drift of claim 1-3, and it is special
Levy and be, also should include Yunmen family, the api interface interconnection that described Yunmen family and described cloud resource management platform provide.
12. 1 kinds of Cloud Server automatic monitoring methods using automatic drift, it is characterised in that comprise the steps:
S1: gather the cloud host information created or destroy and preserve；
S2: according to the described cloud host information creating or destroying gathered, and according to default drift strategy by newly created cloud master
Machine transfers to corresponding monitor node to be monitored, and the information returned according to monitor node carries out strategy judgement；Meanwhile, record
Corresponding relation between cloud main frame and monitor node；
S3: monitor node Real-time Collection self performance and monitored cloud host performance index and the thing at described monitor node place
The performance indications of reason server, and at the described monitor node self performance gathered or the physical services at described monitor node place
The performance indications of device determine drift when reaching to preset drift conditions, and are performed described monitor node by monitoring and scheduling server
Drift；Determine drift when monitored cloud host performance index reaches to preset drift conditions, and serviced by described monitoring and scheduling
Device performs the drift to monitored described cloud main frame.
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| CN107154863A (en) * | 2016-03-04 | 2017-09-12 | 中移(苏州)软件技术有限公司 | A kind of cloud host address monitoring method, cloud platform and proxy server |
| CN110661675B (en) * | 2018-06-29 | 2021-07-27 | 中国电信股份有限公司 | Method and system for detecting network drift of client host |
| CN109358965B (en) * | 2018-09-25 | 2022-01-11 | 杭州朗和科技有限公司 | Cloud computing cluster resource scheduling method, medium, device and computing equipment |
| CN110716986B (en) * | 2019-10-17 | 2021-05-04 | 深圳市蓝思网络技术有限公司 | Big data analysis system and application method thereof |
| CN116737311B (en) * | 2023-03-10 | 2024-04-09 | 北京太极信息***技术有限公司 | Communication-creation ecological service cloud platform interaction method |
| CN117312326A (en) * | 2023-11-28 | 2023-12-29 | 深圳市移卡科技有限公司 | Data storage method based on Yun Yuansheng database and related equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101719081A (en) * | 2009-12-01 | 2010-06-02 | 北京大学 | Method for scheduling virtual machines |
| CN102427475A (en) * | 2011-12-08 | 2012-04-25 | 曙光信息产业(北京)有限公司 | Load balance scheduling system in cloud computing environment |
| CN102882909A (en) * | 2011-07-15 | 2013-01-16 | 易云捷讯科技（北京）有限公司 | Cloud computing service monitoring system and method thereof |
| CN102981910A (en) * | 2012-11-02 | 2013-03-20 | 曙光云计算技术有限公司 | Realization method and realization device for virtual machine scheduling |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7673113B2 (en) * | 2006-12-29 | 2010-03-02 | Intel Corporation | Method for dynamic load balancing on partitioned systems |
-
2013
- 2013-06-19 CN CN201310243449.6A patent/CN103414739B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101719081A (en) * | 2009-12-01 | 2010-06-02 | 北京大学 | Method for scheduling virtual machines |
| CN102882909A (en) * | 2011-07-15 | 2013-01-16 | 易云捷讯科技（北京）有限公司 | Cloud computing service monitoring system and method thereof |
| CN102427475A (en) * | 2011-12-08 | 2012-04-25 | 曙光信息产业(北京)有限公司 | Load balance scheduling system in cloud computing environment |
| CN102981910A (en) * | 2012-11-02 | 2013-03-20 | 曙光云计算技术有限公司 | Realization method and realization device for virtual machine scheduling |
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