CN103414748A - Cloud platform monitoring architecture and monitoring realizing method thereof - Google Patents
Cloud platform monitoring architecture and monitoring realizing method thereof Download PDFInfo
- Publication number
- CN103414748A CN103414748A CN2013102934853A CN201310293485A CN103414748A CN 103414748 A CN103414748 A CN 103414748A CN 2013102934853 A CN2013102934853 A CN 2013102934853A CN 201310293485 A CN201310293485 A CN 201310293485A CN 103414748 A CN103414748 A CN 103414748A
- Authority
- CN
- China
- Prior art keywords
- data
- monitoring
- sensor
- cloud platform
- subsystem
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 102
- 238000000034 method Methods 0.000 title claims abstract description 19
- 239000008186 active pharmaceutical agent Substances 0.000 claims description 30
- 230000005540 biological transmission Effects 0.000 claims description 29
- 238000012217 deletion Methods 0.000 claims description 10
- 230000037430 deletion Effects 0.000 claims description 10
- 230000004044 response Effects 0.000 claims description 6
- 230000001960 triggered effect Effects 0.000 claims description 4
- 238000011217 control strategy Methods 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 2
- 238000013461 design Methods 0.000 abstract description 7
- 238000011161 development Methods 0.000 abstract description 4
- 238000007726 management method Methods 0.000 description 21
- 230000008569 process Effects 0.000 description 10
- 230000015572 biosynthetic process Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 2
- 230000009545 invasion Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000008520 organization Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000013524 data verification Methods 0.000 description 1
- 238000012938 design process Methods 0.000 description 1
- 238000005538 encapsulation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Images
Landscapes
- Computer And Data Communications (AREA)
- Selective Calling Equipment (AREA)
Abstract
The invention relates to the technical field of cloud computing, especially a cloud operating system platform-based distributed extensible cloud platform monitoring architecture and a monitoring realizing method thereof. The cloud platform monitoring architecture provided by the invention monitors the use of virtual resources under a cloud environment. According to the cloud platform monitoring architecture of the invention, a non-invasive monitoring architecture is adopted so as to collect and report the use of the resources of a cloud platform, and therefore, the load of a monitoring assembly can be reduced, and the performance of the platform and a virtual machine is not seriously influenced. The cloud platform monitoring architecture has good compatibility and can be extensible easily; a monitoring system adopts universal interface design, and therefore, secondary development and the access of a third monitoring system can be facilitated. The cloud platform monitoring architecture and the monitoring realizing method thereof of the invention can be widely applied to the monitoring of cloud platforms.
Description
Technical field
The present invention relates to the cloud computing technology field, especially a kind of cloud platform monitoring framework and monitoring implementation method thereof based on cloud operating system platform distributed expandable.
Background technology
At present, in cloud platform base environment, the design and development of monitoring does not have a kind of rapid prototyping, there is no a kind of standard of monitoring yet.In the face of various resources of virtual machine under cloud environment, comprise physical hardware, main frame, storage, network, calculating, virtual system etc., how to form the abstract Monitoring framework of a kind of height, be a problem that challenge is arranged.In traditional supervisory control system, usually adopt the invasion formula to obtain data, its monitoring agent of inserting is the more resource of consumption systems often, has a strong impact on the basic property of cloud platform, thereby affects stability and the reliability of cloud platform.
Summary of the invention
One of technical problem that the present invention solves is to provide a kind of monitoring framework of cloud platform, can solve under cloud environment and use the third party to monitor the problems such as Dynamic dexterity that expense is large, promote monitoring, and promote stability and the reliability of cloud platform.
Two of the technical problem that the present invention solves is to provide a kind of monitoring implementation method of monitoring framework of cloud platform, can solve under cloud environment and use the third party to monitor the problems such as Dynamic dexterity that expense is large, promote monitoring, and promote stability and the reliability of cloud platform.
The technical scheme that the present invention one of solves the problems of the technologies described above is: comprise data acquisition/transmission subsystem, data receiver subsystem, data channel subsystem, control service subsystem;
Described data acquisition/transmission subsystem, to all resources to be monitored, carry out acquisition of information by a transducer, and transducer can arrange its Gains resources attribute, obtain the interval of monitor message and based on the modes such as information monitoring of event; For each main frame in platform, one or more data sources can be set, data source can comprise one or more sensor objects, and data source can dynamic appending/deletion transducer, and data source retains the metamessage of monitor data and so that monitor message receives service, data resolved simultaneously; The monitor data that data source is collected is encoded, changes, transmitted, with the maximization network utilization;
Described data channel subsystem, classify to it according to the purposes that data are different, transmitted by different passages;
Described data receiver subsystem, accept the channel data information from the data channel subsystem, to the decoding data of passage, to platform topsides UI, provides the monitor data response interface simultaneously;
Described control service subsystem, accept the monitoring Provisioning Policy that the platform management backstage sends, and the Acquisition channel data, to carry out the adjustment of cloud platform automation strategy, arrange data source, attribute sensor information by the data channel subsystem.
The main frame in the cloud platform of take is unit, and a main frame can configure a data collection/transmission subsystem, and data acquisition/transmission subsystem can define based on TCP, UDP, multicast, data publish/transmission modes such as subscription.
The data channel subsystem is divided into 3 class passages to information, is respectively data channel DdC, control channel CdC and metadata channel MdC, wherein:
(1) DdC is the monitoring data transmission passage;
(2) CdC is the control data transmission passage, controls data and comprises: the life cycle of transducer in supervisory control system, data source life cycle management, and the dynamic appending of transducer and data source property setting, transducer and data source/deletion;
(3) MdC is the transmission channel of monitoring metamessage (as acquisition attributes form, data packet format descriptor etc.), by metamessage can the fast resolving monitor data specific definition.
Described data receiver subsystem is accepted from DdC and MDC channel data information, to the decoding data from the DdC passage.
Two the technical scheme that the present invention solves the problems of the technologies described above is:
Determine the resource object of the required monitoring of platform, as virtual resource network, storage, calculating, the platform host management node, and determine the attribute to the required monitoring of these resources;
To sensor object of every class resources definition;
To data source object of each host definition in platform, and sensor object corresponding to the resource of all required monitoring in this host computer system joined in data source;
Dispose one and control service, by the cloud platform according to business demand, generate the control strategy of oneself, comprise startup to transducer/data source, close, add, the life cycle management such as deletion, transducer based on acquisition strategies such as Event triggered, time-based intervals, and the monitoring data transmission mode is set;
Dispose one/a plurality of reception services, arrange and receive strategy, for the reception requirement of different backstages assembly to data in the cloud platform management system, receive only the policy-related (noun) data;
Realize the web service service on supervisory control system and cloud platform backstage, web service is passed through to the supervisory control system request msg according to cloud platform monitoring demand in cloud management system backstage, and presents to the user with the UI form.
To its retrievable attribute information of each monitored resources definition, and realize a sensor
xInterface, its attribute information is described in (index, name, type) mode, a sensor
xInterface realization can self-defined a plurality of acquisition attributes; Suppose to exist 3 sensor
xRealize interface (sensor
1-sensor
3);
To each main frame to be monitored, realize its data source DS interface, the monitoring resource that its internal condition platform is concerned about can realize a plurality of sensor
xInterface, each data source comprise the required all acquisition attributes information obtained of the machine, and these attributes are equal to metadata information in this article; Suppose to exist 2 data source DS to be monitored
1, DS
2
For each DS object, realize, if do not belong to same main frame, the definition data send service SS
1, SS
2, the service that sends will be based on specifically monitored event generation or based on characteristics interval acquiring monitoring value;
By control, serve CS, DS and Sensor are set
xIncrease/delete, arrange and obtain each Sensor under DS
xThe interval of measured value, and based on the response of specific events trigger;
If DS belongs to active state, and each sensor
xOpened operation, from data channel, received monitor message by the data receiver service module, and decoding sends to cloud management system rear end.
Monitor data is classified, take the mode of distributed hash to be stored in each data source to the monitoring metadata.
Beneficial effect of the present invention has:
Extensibility, the monitoring framework can be processed large-scale virtual-sensor, allows dynamic appending/deletion virtual-sensor;
Elasticity, when the resource in the cloud platform dynamically changes fast: when creating and consuming, monitoring that all can be correct in time;
The migration self adaptation, when resource dynamic in the cloud platform is moved, still can correctly monitor;
Loaded self-adaptive, non-invasion mode is adopted in monitoring, and when calculating in the cloud platform and offered load dynamic change, but monitoring framework self adaptation is regulated;
Autonomy, the monitoring framework can move continually and steadily, without human intervention and reshuffling;
Cross-domain support, supervisory control system can be monitored the not virtual resource of same area.
The accompanying drawing explanation
The present invention is further described below in conjunction with accompanying drawing:
Fig. 1 is that the present invention monitors Organization Chart;
Fig. 2 is that the present invention monitors framework realization flow figure;
Fig. 3 is communication interaction figure of the present invention;
Fig. 4 is sensor interface realization figure of the present invention;
Fig. 5 is data resource interface realization figure of the present invention;
Fig. 6 is control subsystem control flow chart of the present invention;
Fig. 7 is information gathering of the present invention/reception flow chart;
Fig. 8 is acquisition subsystem data correlation figure of the present invention;
Fig. 9 is receiving course data correlation figure of the present invention;
Figure 10 is data acquisition flow figure of the present invention;
Figure 11 is cloud platform of the present invention and supervisory control system integrated support composition.
Embodiment
As shown in Figure 1, this framework of the present invention divided data gathers/sends subsystem, data receiver subsystem, data channel subsystem, controls service subsystem, below successively each system is described.
Data acquisition/transmission subsystem SS: to all resources to be monitored, by a transducer Sensor
xCarry out acquisition of information, Sensor
xIts Gains resources attribute (as obtain physical machine CPU information, information such as obtaining utilance, load, nuclear volume can be set) can be set, obtain the interval of monitor message and based on the modes such as information monitoring of event; For each main frame Host in platform, one or more data sources DS can be set, data source can comprise one or more Sensor
xObject, DS can dynamic appending/deletion Sensor
x, simultaneously the DS metamessage that retains monitor data is resolved (the metamessage data be take each data source place Host in the cloud platform and are unit, carry out fast reading and writing with distributed Hash strategy) so that monitor message receives service to data; SS encodes, changes, transmits the collected monitor data of data source, with the maximization network utilization, SS be take main frame in the cloud platform and is unit, and a Host can configure a SS, and SS can define based on TCP, UDP, multicast, data publish/transmission modes such as subscription.
Data channel subsystem TCS: for the reduced data reception & disposal, improve the independence of each subsystem processes data, according to the purposes that data are different, it is classified, by different passages, transmitted, this Monitoring framework is divided into 3 class passages to information, be respectively data channel DdC, control channel CdC and metadata channel MdC, wherein:
(1) DdC is the monitoring data transmission passage;
(2) CdC is the control data transmission passage, controls data and comprises: Sensor in supervisory control system
xLife cycle, DS life cycle management, and Sensor
xWith DS setup of attribute, Sensor
xWith the dynamic appending of DS/deletion.
(3) MdC is the transmission channel of monitoring metamessage (as acquisition attributes form, data packet format descriptor etc.), by metamessage can the fast resolving monitor data specific definition.
Data receiver subsystem RS: accept from DdC and MDC channel data information, to the decoding data from the DdC passage, provide the monitor data response interface to platform topsides UI simultaneously.
Control service subsystem CS: accept the monitoring Provisioning Policy that the platform management backstage sends, obtain the DdC channel data to carry out the adjustment of cloud platform automation strategy, by MDC channel setting DS, Sensor
xAttribute information.
The height of aforementioned monitoring framework is abstract, and the user can realize having original cloud platform management system noninvasive, the extensibility of keeping system and compatibility according to the self-defined supervisory control system of cloud platform environment.Supervisory control system framework height is abstract, respectively each assembly, monitor data sending/receiving, the control channel of image data is carried out highly abstractly, as obtains monitor message by a plurality of transducer Sensor
xWith a plurality of DS, form, wherein Sensor
xWith the DS attribute, can arrange flexibly.Cloud platform monitoring system capable of dynamic based on this framework adds/deletes monitor message, dynamically arranges monitoring strategies, provides cloud platform management system automation O&M required basic monitor data.Capable of dynamic arranges the interval of monitor data, can obtain the monitor data based on Event triggered.
Referring to the described flow process of Fig. 2, when based on this framework, carrying out cloud platform monitoring Development of Module, need complete following steps:
1, determine the resource object of the required monitoring of platform, as virtual resource (network, storage, calculating), the platform host management node, and determine the attribute to the required monitoring of these resources.
2, to a sensor object of every class resources definition (realizing sensor interface).
3, to a data source object of each host definition (realizing data resource interface) in platform, and sensor object corresponding to the resource of all required monitoring in this host computer system, join in data source.
4, disposing a control service (is provided by framework, need to realize controlling service interface), by the cloud platform according to business demand, generate the control strategy of oneself, comprise transducer/data source life cycle management (start, close, add, deletion etc.), transducer acquisition strategies (based on Event triggered, time-based interval etc.), and monitoring data transmission mode (TCP, UDP, multicast, message subscribing/modes such as issue) is set
5, dispose one/a plurality of reception services (provided by framework, need to realize accepting service interface), arrange and receive strategy (for the reception requirement of different backstages assembly to data in the cloud platform management system, receiving only the policy-related (noun) data)
6, realize the web service service on supervisory control system and cloud platform backstage, web service is passed through to the supervisory control system request msg according to cloud platform monitoring demand in cloud management system backstage, and presents to the user with the UI form.
Adopt highly abstract architecture design, form a kind of general design interface, the following description of its design:
(1) to its retrievable attribute information of each monitored resources definition, and by realizing a sensor
xInterface, its attribute information is described in (index, name, type) mode, as (0, cores, I)-" the 1st attribute name is check figure, and type is integer ", a sensor
xInterface realization can self-defined a plurality of acquisition attributes; There are 3 sensor in hypothesis in the technical program
xRealize interface (sensor
1-sensor
3);
(2) to each main frame to be monitored, realize its data source DS interface, the monitoring resource that its internal condition platform is concerned about can realize a plurality of sensor
xInterface, each data source comprise the required all acquisition attributes information (these attributes are equal to metadata information in this article) obtained of the machine.There are 2 data source DS to be monitored in hypothesis in the technical program
1, DS
2.
(3) for each DS object, realize, if do not belong to same main frame, the definition data send service SS
1, SS
2, the service that sends will be based on specifically monitored event generation or based on characteristics interval acquiring monitoring value.
(4) by control, serve CS, DS and Sensor are set
xIncrease/delete, arrange and obtain each Sensor under DS
xThe interval of measured value, and based on the response of specific events trigger.
(5) if DS belongs to active state, and each sensor
xOpened operation, from data channel DcD, received monitor message by the data receiver service module, and decoding sends to cloud management system rear end.
And, monitor data is classified, particularly to the monitoring metadata, take the mode of distributed hash to be stored in each data source.
As shown in Figure 3, be the mutual Organization Chart of communication of the present invention.
As shown in Figure 4, realize for sensor interface of the present invention, when sensor interface is realized, by realizing interface, configure the acquisition attributes information that each realizes class, and generate sensor object.
As shown in Figure 5, realize for data resource interface of the present invention, when data resource interface is realized, can give tacit consent to the interpolation monitored object, also can serve dynamic appending when the system initialization by control.
As shown in Figure 6, be control subsystem control flow of the present invention, in figure, described increase I/O monitoring flow process:
(1) generate I/O monitoring sensor object
(2) call the interpolation control interface of control subsystem, and newly-increased transducer, the service of transmission called.
(3) gather the asynchronous monitoring control channel of service processes event, and accept to control request, judgement is controlled please.Ask legitimacy, and send in the control formation with the data source communication.
(4) data source receives and increases the transducer Information Monitoring by formation, and upgrades the service of collection.As shown in Figure 7, be information gathering of the present invention/reception flow process;
(1) in the cloud platform, each node, according to its transducer Information Monitoring list, obtains the measured value of each monitoring attributes, and sends to the collection formation.
(2) gather the asynchronous monitoring of service and gather formation, the data that collect are encoded, filtered, and send to the data subchannel.
(3) the background monitoring acquisition subsystem of management platform receives message by acquisition channel, and according to its metamessage of inquiry, with decoded data message (annotate: if metamessage can't be resolved this message, need be by the analytical element information of metadata channel to the node request message).
(4) management is controlled interface according to monitor message, presents with multi-form UI.As shown in Figure 8, be the acquisition configuration process, transducer and monitor value data relationship are described.
(1) by configuring acquisition attributes value corresponding to transducer and each acquisition attributes (gathering the configurable DISK IO of its property value Read, DISK IO Write etc. as IO).
(2) collecting unit, by each property value, can get each monitor value.
(3) collecting unit is packaged into one by one independently acquisition attributes to monitor value again, and has more the collection demand of customization, and one or more acquisition attributes are carried out to data encapsulation/transmission.
As shown in Figure 9, for batch image data tissue, describe:
Different platform requires different to acquisition system, some gathers single measured value, and some gathers a plurality of measured values.When gathering a plurality of measured value, this framework is processed by following principle:
(1) user defines transducer and gathers ID, and this ID group is comprised of a plurality of acquisition attributes.
(2) acquisition module can issue the acquisition tasks of each acquisition attributes, and collects the Monitoring Data of returning.
(3) each data are judged to it gathers ID, encodes/sends the acquisition attributes that belongs to same ID.
As shown in figure 10, described the collection mechanism of supporting based on framework, this framework is described below synchronous and asynchronous collection mechanism:
(1) initialization collecting thread, comprise that thread context loads, and configuration loads, and gather Service Instance from gathering one of factory's generation.
(2) judge the current task of needing collection that whether has, task is divided two kinds namely: by time interval and action listener mode, the time interval that the time type acquisition tasks issues according to platform dispatches transducer and carries out data acquisition; Action listener model acquisition tasks gathers according to the event category of management end registration, and only when the time occurred, just trigger sensor obtained the relevant monitor value of event.
(3) if arrive task time or the event generation, the legitimacy of image data verification msg, whether data meet the attribute sensor requirement, if not, filter Resurvey.
(4) gathered and put into the obstruction formation, transferred to acquisition subsystem and process.
As shown in figure 11, describe this framework and how with cloud computing platform, to be combined, complete based on application-specific monitoring exploitation:
(1) this Monitoring framework can provide the service of gathering, control service, each service with lightweight Webservice(as Axis2/java, Apache CXF, JAX-RS, JAX-WS etc.) encapsulate.
(2) the Service control logical gate of management platform, need to increase the business monitoring submodule (as the monitoring situation of virtual machine operation, user's operation behavior monitoring etc.), by calling the monitoring management service access point, obtain the description of WSDL service interface, and carry out service call according to WSDL, obtain relevant monitoring information
(3), in monitoring submodule development and Design process, answer control section and the collecting part of monitoring of separation, to improve the dynamic extensibility of system.
In the present invention, the attribute sensor design data is as shown in table 1:
Table 1 attribute sensor structure
| The attribute sequence number | Char |
| Attribute-name | string |
| Attribute type | int |
| Attribute unit | enum |
A plurality of acquisition attributes are preserved with the chain sheet form, and attribute unit carries out compression expression with the byte type, as (int, ' I '), (char, ' c '), (List, ' l ') etc.
The supervision packet design is as shown in table 2:
Table 2 monitor data pack arrangement
| Sensor ID | int |
| Service ID | int |
| Transducer group ID | int |
| Timestamp | date |
| Last time, acquisition time was poor recently | lnt |
| Gather sequence number | long |
| Sensor type | string |
| Transducer gathers value set | List |
Once gather service and may relate to multi collect, each gatherer process needs one or more transducer image data to form.
Coding flow process: the data unit related in the transmission packet, all in the byte mode, mean, data message and data head information (being metadata information) are cut apart, to avoid data head information to repeat transmission, in packet, do not comprise monitoring attributes information, the monitoring attributes information exchange is crossed the metadata channel transmission, with maximization network utilance (monitoring attributes information is not all must transmit, as the monitor data repeated obtain) at every turn.
Decoding process: after the received subsystem of data receives packet, also can't be to decoding data, need metadata information to carry out attribute sensor information corresponding to resolution data bag, metadata information carries out buffer memory by receiving subsystem, employing is enjoyed first mode and is designed, after receiving packet at every turn, first from current, enjoy first library inquiry, if current, do not exist this metadata or metadata cache capped, by distributed Hash mode, carry out metadata request, all metadata informations can be determined by data source place main frame+attribute sensor is unique.
Claims (7)
1. cloud platform monitoring framework is characterized in that:
Comprise data acquisition/transmission subsystem, data receiver subsystem, data channel subsystem, control service subsystem;
Described data acquisition/transmission subsystem, to all resources to be monitored, carry out acquisition of information by a transducer, and transducer can arrange its Gains resources attribute, obtain the interval of monitor message and based on the modes such as information monitoring of event; For each main frame in platform, one or more data sources can be set, data source can comprise one or more sensor objects, and data source can dynamic appending/deletion transducer, and data source retains the metamessage of monitor data and so that monitor message receives service, data resolved simultaneously; The monitor data that data source is collected is encoded, changes, transmitted;
Described data channel subsystem, classify to it according to the purposes that data are different, transmitted by different passages;
Described data receiver subsystem, accept the channel data information from the data channel subsystem, to the decoding data of passage, to platform topsides UI, provides the monitor data response interface simultaneously;
Described control service subsystem, accept the monitoring Provisioning Policy that the platform management backstage sends, and the Acquisition channel data, to carry out the adjustment of cloud platform automation strategy, arrange data source, attribute sensor information by the data channel subsystem.
2. cloud platform monitoring framework according to claim 1, it is characterized in that: the main frame in the cloud platform of take is unit, a main frame can configure a data collection/transmission subsystem, and data acquisition/transmission subsystem can define based on TCP, UDP, multicast, data publish/transmission modes such as subscription.
3. cloud platform monitoring framework according to claim 1 and 2, it is characterized in that: the data channel subsystem is divided into 3 class passages to information, is respectively data channel DdC, control channel CdC and metadata channel MdC, wherein:
(1) DdC is the monitoring data transmission passage;
(2) CdC is the control data transmission passage, controls data and comprises: the life cycle of transducer in supervisory control system, data source life cycle management, and the dynamic appending of transducer and data source property setting, transducer and data source/deletion;
(3) MdC is the transmission channel of monitoring metamessage (as acquisition attributes form, data packet format descriptor etc.), by metamessage can the fast resolving monitor data specific definition.
4. cloud platform monitoring framework according to claim 3 is characterized in that: described data receiver subsystem is accepted from DdC and MDC channel data information, to the decoding data from the DdC passage.
5. the monitoring implementation method of a cloud platform monitoring framework claimed in claim 1 is characterized in that:
Determine the resource object of the required monitoring of platform, as virtual resource network, storage, calculating, the platform host management node, and determine the attribute to the required monitoring of these resources;
To sensor object of every class resources definition;
To data source object of each host definition in platform, and sensor object corresponding to the resource of all required monitoring in this host computer system joined in data source;
Dispose one and control service, by the cloud platform according to business demand, generate the control strategy of oneself, comprise startup to transducer/data source, close, add, the life cycle management such as deletion, transducer based on acquisition strategies such as Event triggered, time-based intervals, and the monitoring data transmission mode is set;
Dispose one/a plurality of reception services, arrange and receive strategy, for the reception requirement of different backstages assembly to data in the cloud platform management system, receive only the policy-related (noun) data;
Realize the web service service on supervisory control system and cloud platform backstage, web service is passed through to the supervisory control system request msg according to cloud platform monitoring demand in cloud management system backstage, and presents to the user with the UI form.
6. monitoring implementation method according to claim 5 is characterized in that:
To its retrievable attribute information of each monitored resources definition, and realize a sensor
xInterface, its attribute information is described in (index, name, type) mode, a sensor
xInterface realization can self-defined a plurality of acquisition attributes; Suppose to exist 3 sensor
xRealize interface (sensor
1-sensor
3);
To each main frame to be monitored, realize its data source DS interface, the monitoring resource that its internal condition platform is concerned about can realize a plurality of sensor
xInterface, each data source comprise the required all acquisition attributes information obtained of the machine, and these attributes are equal to metadata information in this article; Suppose to exist 2 data source DS to be monitored
1, DS
2
For each DS object, realize, if do not belong to same main frame, the definition data send service SS
1, SS
2, the service that sends will be based on specifically monitored event generation or based on characteristics interval acquiring monitoring value;
By control, serve CS, DS and Sensor are set
xIncrease/delete, arrange and obtain each Sensor under DS
xThe interval of measured value, and based on the response of specific events trigger;
If DS belongs to active state, and each sensor
xOpened operation, from data channel, received monitor message by the data receiver service module, and decoding sends to cloud management system rear end.
7. according to the described monitoring implementation method of claim 5 or 6, it is characterized in that: monitor data is classified, take the mode of distributed hash to be stored in each data source to the monitoring metadata.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310293485.3A CN103414748B (en) | 2013-07-12 | 2013-07-12 | A kind of cloud platform monitoring framework and monitoring implementation method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310293485.3A CN103414748B (en) | 2013-07-12 | 2013-07-12 | A kind of cloud platform monitoring framework and monitoring implementation method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103414748A true CN103414748A (en) | 2013-11-27 |
| CN103414748B CN103414748B (en) | 2016-12-28 |
Family
ID=49607734
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310293485.3A Active CN103414748B (en) | 2013-07-12 | 2013-07-12 | A kind of cloud platform monitoring framework and monitoring implementation method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103414748B (en) |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103780696A (en) * | 2014-01-23 | 2014-05-07 | 北京荣之联科技股份有限公司 | Cloud monitoring method, device and system based on distributed pushing |
| CN104158881A (en) * | 2014-08-20 | 2014-11-19 | 哈尔滨工程大学 | System and method of third-party cloud security monitoring supporting user customization |
| CN104184819A (en) * | 2014-08-29 | 2014-12-03 | 城云科技（杭州）有限公司 | Multi-hierarchy load balancing cloud resource monitoring method |
| CN104184717A (en) * | 2014-02-20 | 2014-12-03 | 西安未来国际信息股份有限公司 | Virtual host safety protection system design |
| CN104281483A (en) * | 2014-09-11 | 2015-01-14 | 江苏集群软件股份有限公司 | Virtual machine control system based on cloud computing platform and control method of virtual machine control system |
| CN104317639A (en) * | 2014-10-17 | 2015-01-28 | 中国电子科技集团公司第二十八研究所 | Method for taking over existing virtual machines of vCenter by computer cloud platform |
| CN104378262A (en) * | 2013-12-13 | 2015-02-25 | 国家计算机网络与信息安全管理中心 | Intelligent monitoring analyzing method and system under cloud computing |
| CN107070748A (en) * | 2017-04-13 | 2017-08-18 | 周发辉 | A kind of processing system and method for the big data that communicates |
| CN107508880A (en) * | 2017-08-20 | 2017-12-22 | 成都才智圣有科技有限责任公司 | Data-storage system based on big data processing |
| CN107612710A (en) * | 2017-08-11 | 2018-01-19 | 北京百度网讯科技有限公司 | A kind of local gateway to Internet of Things carries out the method and system of high in the clouds configuration |
| CN107832139A (en) * | 2017-09-26 | 2018-03-23 | 上海点融信息科技有限责任公司 | For the method, apparatus and system for the computing resource for managing block chain link point |
| CN108664551A (en) * | 2018-04-02 | 2018-10-16 | 郑州云海信息技术有限公司 | A kind of method and system of power ＆ environment supervision data access cloud platform |
| CN109101321A (en) * | 2018-08-14 | 2018-12-28 | 郑州云海信息技术有限公司 | A kind of message monitoring method and device based on cloud platform |
| CN109873738A (en) * | 2019-02-26 | 2019-06-11 | 启迪云计算有限公司 | It is a kind of can elastic telescopic cloud computing monitor supervision platform |
| CN112698951A (en) * | 2021-01-06 | 2021-04-23 | 浪潮云信息技术股份公司 | Method for performing automatic performance acquisition configuration based on resources in cloud computing environment |
| CN112765243A (en) * | 2019-10-21 | 2021-05-07 | 千寻位置网络有限公司 | Method and system for constructing GNSS algorithm unified operation environment on equipment and cloud |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120093359A1 (en) * | 2010-10-19 | 2012-04-19 | Raytheon Company | Batch Detection Association for Enhanced Target Descrimination in Dense Detection Environments |
| CN103024060A (en) * | 2012-12-20 | 2013-04-03 | 中国科学院深圳先进技术研究院 | Open type cloud computing monitoring system for large scale cluster and method thereof |
| CN103152423A (en) * | 2013-03-15 | 2013-06-12 | 安科智慧城市技术（中国）有限公司 | Cloud storage system and data access method thereof |
| CN103150014A (en) * | 2013-01-25 | 2013-06-12 | 东莞宇龙通信科技有限公司 | Controlled terminal and control method |
-
2013
- 2013-07-12 CN CN201310293485.3A patent/CN103414748B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120093359A1 (en) * | 2010-10-19 | 2012-04-19 | Raytheon Company | Batch Detection Association for Enhanced Target Descrimination in Dense Detection Environments |
| CN103024060A (en) * | 2012-12-20 | 2013-04-03 | 中国科学院深圳先进技术研究院 | Open type cloud computing monitoring system for large scale cluster and method thereof |
| CN103150014A (en) * | 2013-01-25 | 2013-06-12 | 东莞宇龙通信科技有限公司 | Controlled terminal and control method |
| CN103152423A (en) * | 2013-03-15 | 2013-06-12 | 安科智慧城市技术（中国）有限公司 | Cloud storage system and data access method thereof |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104378262A (en) * | 2013-12-13 | 2015-02-25 | 国家计算机网络与信息安全管理中心 | Intelligent monitoring analyzing method and system under cloud computing |
| CN103780696A (en) * | 2014-01-23 | 2014-05-07 | 北京荣之联科技股份有限公司 | Cloud monitoring method, device and system based on distributed pushing |
| CN104184717A (en) * | 2014-02-20 | 2014-12-03 | 西安未来国际信息股份有限公司 | Virtual host safety protection system design |
| CN104158881A (en) * | 2014-08-20 | 2014-11-19 | 哈尔滨工程大学 | System and method of third-party cloud security monitoring supporting user customization |
| CN104158881B (en) * | 2014-08-20 | 2018-01-19 | 哈尔滨工程大学 | It is a kind of to support subscriber customized third party cloud safety monitoring system and method |
| CN104184819A (en) * | 2014-08-29 | 2014-12-03 | 城云科技（杭州）有限公司 | Multi-hierarchy load balancing cloud resource monitoring method |
| CN104184819B (en) * | 2014-08-29 | 2017-12-05 | 城云科技（中国）有限公司 | Multi-layer load balancing cloud resource monitoring method |
| CN104281483A (en) * | 2014-09-11 | 2015-01-14 | 江苏集群软件股份有限公司 | Virtual machine control system based on cloud computing platform and control method of virtual machine control system |
| CN104317639B (en) * | 2014-10-17 | 2017-08-22 | 中国电子科技集团公司第二十八研究所 | The method of the existing virtual machines of computer cloud platform adapter vCenter |
| CN104317639A (en) * | 2014-10-17 | 2015-01-28 | 中国电子科技集团公司第二十八研究所 | Method for taking over existing virtual machines of vCenter by computer cloud platform |
| CN107070748A (en) * | 2017-04-13 | 2017-08-18 | 周发辉 | A kind of processing system and method for the big data that communicates |
| CN107612710A (en) * | 2017-08-11 | 2018-01-19 | 北京百度网讯科技有限公司 | A kind of local gateway to Internet of Things carries out the method and system of high in the clouds configuration |
| CN107508880A (en) * | 2017-08-20 | 2017-12-22 | 成都才智圣有科技有限责任公司 | Data-storage system based on big data processing |
| CN107832139A (en) * | 2017-09-26 | 2018-03-23 | 上海点融信息科技有限责任公司 | For the method, apparatus and system for the computing resource for managing block chain link point |
| CN108664551A (en) * | 2018-04-02 | 2018-10-16 | 郑州云海信息技术有限公司 | A kind of method and system of power ＆ environment supervision data access cloud platform |
| CN109101321A (en) * | 2018-08-14 | 2018-12-28 | 郑州云海信息技术有限公司 | A kind of message monitoring method and device based on cloud platform |
| CN109873738A (en) * | 2019-02-26 | 2019-06-11 | 启迪云计算有限公司 | It is a kind of can elastic telescopic cloud computing monitor supervision platform |
| CN112765243A (en) * | 2019-10-21 | 2021-05-07 | 千寻位置网络有限公司 | Method and system for constructing GNSS algorithm unified operation environment on equipment and cloud |
| CN112698951A (en) * | 2021-01-06 | 2021-04-23 | 浪潮云信息技术股份公司 | Method for performing automatic performance acquisition configuration based on resources in cloud computing environment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103414748B (en) | 2016-12-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103414748A (en) | Cloud platform monitoring architecture and monitoring realizing method thereof | |
| CN107390650B (en) | A kind of data collection system based on Internet of Things and the data compression method based on the system | |
| CN110908879B (en) | Reporting method, reporting device, reporting terminal and recording medium of buried point data | |
| CA2960190C (en) | Systems and methods for monitoring globally distributed remote storage devices | |
| CN106533723B (en) | Virtual resource scheduling method, device and system | |
| Tolle et al. | Design of an application-cooperative management system for wireless sensor networks | |
| CN103442024B (en) | A kind of system and method for intelligent mobile terminal and cloud virtual mobile terminal synchronization | |
| CN103220285B (en) | Access system based on RESTful interface under ubiquitous service environment | |
| CN102802139A (en) | Gateway data adapting system and method of Internet of Things | |
| CN108681488A (en) | A kind of platform of internet of things terminal data report method | |
| CN104052759A (en) | System for realizing add-and-play technology of internet of things | |
| CN103440244A (en) | Large-data storage and optimization method | |
| CN103617287A (en) | Log management method and device in distributed environment | |
| CN103118097A (en) | Data transmission method in wireless sensor network | |
| CN102820983B (en) | System exception information collecting method and manager | |
| CN104156300A (en) | Log management system and log management method | |
| CN102571451A (en) | Network element and method for uploading MR (Measure Report) messages by network element | |
| CN103207920A (en) | Parallel metadata acquisition system | |
| CN105589782A (en) | User behavior collection method based on browser | |
| CN105429791A (en) | Distributed service state detection device and method | |
| CN104077199A (en) | Shared disk based high availability cluster isolation method and system | |
| CN103514030A (en) | Event collecting and reporting system and method of Android system | |
| CN113010565A (en) | Server cluster-based server real-time data processing method and system | |
| CN103631873A (en) | Data compression method and memory system | |
| CN103516734A (en) | Data processing method, device and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |