CN108429768A - Cloud data analysis service manages system, method and cloud server - Google Patents
Cloud data analysis service manages system, method and cloud server Download PDFInfo
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- CN108429768A CN108429768A CN201810536629.6A CN201810536629A CN108429768A CN 108429768 A CN108429768 A CN 108429768A CN 201810536629 A CN201810536629 A CN 201810536629A CN 108429768 A CN108429768 A CN 108429768A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/40—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using virtualisation of network functions or resources, e.g. SDN or NFV entities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5041—Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the time relationship between creation and deployment of a service
- H04L41/5051—Service on demand, e.g. definition and deployment of services in real time
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/12—Network monitoring probes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/20—Arrangements for monitoring or testing data switching networks the monitoring system or the monitored elements being virtualised, abstracted or software-defined entities, e.g. SDN or NFV
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/133—Protocols for remote procedure calls [RPC]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/34—Network arrangements or protocols for supporting network services or applications involving the movement of software or configuration parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/04—Network management architectures or arrangements
- H04L41/046—Network management architectures or arrangements comprising network management agents or mobile agents therefor
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Abstract
Present disclose provides a kind of cloud data analysis service management system, method and cloud servers；Wherein, which includes：Service management module, the request to create for receiving cloud data analysis service example determine the corresponding host performance requirement of example according to request to create；Resource management module, for requiring the host resource to match, and the image file needed for the acquisition example for service management module scheduling and host performance；Wherein, host resource includes：Physical host resource and fictitious host computer resource；Mirror image management module, for providing the image file needed for example to resource management module；Service management module is additionally operable to install image file generation example on host resource, runs simultaneously admin instance.The disclosure can meet the high in the clouds deployment requirements of the data analysis service of different host performance requirements.
Description
Technical field
This disclosure relates to field of cloud computer technology, more particularly, to a kind of cloud data analysis service management system, method and
Cloud server.
Background technology
Cloud computing is a kind of distributed computing model, is based on technologies such as distributed treatment, parallel processing and grid computings
Shared architecture method.Cloud computing can be with the huge virtual computing resource of self and management, including calculates service
Device, storage server, broadband resource etc., to provide to the user reliably, customized, maximum resource utilize IT clothes
Business.
High in the clouds big data analysis service is sent out on the basis of SaaS (Software as a Service, software service)
A kind of cloud computing technology of exhibition；High in the clouds big data analysis service is typically deployed in the virtual machine of cloud server, due to
The limitation of virtual machine self performance, data analysis service solely dispose mode on a virtual machine and are difficult to meet high-performance data
The demand of Analysis Service causes these high performance data analysis services that can only be realized by entity physical resource, cannot dispose
Beyond the clouds.
Invention content
In view of this, the disclosure is designed to provide a kind of cloud data analysis service management system, method and high in the clouds clothes
Business device, to meet the high in the clouds deployment requirements of the data analysis service of different host performance requirements.
To achieve the goals above, the technical solution that the disclosure uses is as follows：
In a first aspect, present disclose provides a kind of cloud data analysis services to manage system, system includes：Service management mould
Block, the request to create for receiving cloud data analysis service example determine that the corresponding host performance of example is wanted according to request to create
It asks；Resource management module, for requiring the host resource to match, and acquisition for service management module scheduling and host performance
Image file needed for example；Wherein, host resource includes：Physical host resource and fictitious host computer resource；Mirror image management module,
For providing the image file needed for example to resource management module；Service management module is additionally operable to install mirror on host resource
As file generated example, simultaneously admin instance is run.
Second aspect, present disclose provides a kind of cloud data analysis service management method, method is applied to above-mentioned cloud data
Analysis Service manages system；Method includes：The request to create for receiving cloud data analysis service example determines real according to request to create
The corresponding host performance requirement of example；Scheduling requires the host resource to match with host performance；Wherein, host resource includes：Object
Manage host resource and fictitious host computer resource；Obtain the image file needed for example；Image file is installed to generate on host resource
Example runs simultaneously admin instance.
The third aspect, disclosure embodiment provide a kind of cloud server, including memory and processor, wherein
Memory is for storing one or more computer instruction, and one or more computer instruction is executed by processor, in realization
State cloud data analysis service management method.
Fourth aspect, disclosure embodiment provide a kind of machine readable storage medium, and machine readable storage medium is deposited
Machine-executable instruction is contained, when being called and being executed by processor, machine-executable instruction promotes to locate machine-executable instruction
It manages device and realizes above-mentioned cloud data analysis service management method.
Above-mentioned cloud data analysis service management system, method and cloud server, service management module can pass through resource
Management module is scheduled physical host resource and fictitious host computer resource, so that host resource and the host needed for establishment example
Performance requirement matches；In which, the deployment way of cloud data analysis service is more flexible, and high performance data analysis is made to take
Business can also be realized by cloud computing, meet the high in the clouds deployment requirements of the data analysis service of different host performance requirements.
Other feature and advantage of the disclosure will illustrate in the following description, alternatively, Partial Feature and advantage can be with
Deduce from specification or unambiguously determine, or by implement the disclosure above-mentioned technology it can be learnt that.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, better embodiment cited below particularly, and match
Appended attached drawing is closed, is described in detail below.
Description of the drawings
It, below will be to specific in order to illustrate more clearly of disclosure specific implementation mode or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described, it should be apparent that, in being described below
Attached drawing is some embodiments of the disclosure, for those of ordinary skill in the art, before not making the creative labor
It puts, other drawings may also be obtained based on these drawings.
Fig. 1 is the structural schematic diagram that a kind of cloud data analysis service that disclosure embodiment provides manages system；
Fig. 2 is service management module in another cloud data analysis service management system that disclosure embodiment provides
Concrete structure schematic diagram；
Fig. 3 is service management module in another cloud data analysis service management system that disclosure embodiment provides
Concrete structure schematic diagram；
Fig. 4 is the structural schematic diagram that another cloud data analysis service that disclosure embodiment provides manages system；
Fig. 5 is that the framework that cloud data analysis service is disposed using multi-tenant form that disclosure embodiment provides is illustrated
Figure；
Fig. 6 is a kind of flow chart for cloud data analysis service management method that disclosure embodiment provides；
Fig. 7 is a kind of structural schematic diagram for cloud server that disclosure embodiment provides.
Specific implementation mode
To keep the purpose, technical scheme and advantage of disclosure embodiment clearer, below in conjunction with attached drawing to this public affairs
The technical solution opened is clearly and completely described, it is clear that and described embodiment is a part of embodiment of the disclosure,
Rather than whole embodiment.Based on the embodiment in the disclosure, those of ordinary skill in the art are not making creation
Property labour under the premise of the every other embodiment that is obtained, belong to the range of disclosure protection.
High in the clouds big data analysis is serviced with dynamic scalable, availability is high, utilization cost is low, ease for use is high, extensive
The features such as parallel processing, is suitable for the storage and analysis of mass data.High in the clouds big data analysis service is usually deployed big beyond the clouds
In the virtual machine of amount, this deployment way can enhance the storage capacity and computing capability of big data platform, be configured without repeating
Personnel, hardware and software are saved platform building cost, and are safeguarded convenient for the subsequent upgrade of soft and hardware；At the same time it can also virtual
Change the portion rear end function of big data platform；But since virtual machine is that have complete hardware system work(by what software was simulated
Can computer system, the hardware instruction for simulating bottom is needed in operational process, leads to the application program speed of service, data input
The performances such as output are affected；Which limits high performance big data analysis services (for example, high data processing performance, height are defeated
Enter output performance etc.) it is difficult to dispose beyond the clouds, it can only be disposed by entity physical resource.
In order to make high performance big data analysis service that can also realize that data analysis service needs more clever by cloud computing
Deployment way living, to meet the data analysis requirements of different performance；Based on this, disclosure embodiment provides a kind of cloud number
According to Analysis Service management system, method and cloud server, it is specifically described below.
Disclosure embodiment provides firstly a kind of cloud data analysis service management system, which can be deployed in cloud
In the server of platform, as shown in Figure 1, the system includes service management module 10, resource management module 11 and mirror image management mould
Block 12.
Wherein, service management module 10 is used to receive the request to create of cloud data analysis service example, according to request to create
Determine the corresponding host performance requirement of example；Resource management module 11 is used to want with host performance for the scheduling of service management module 10
The host resource to match is sought, and obtains the image file needed for example；The host resource includes：Physical host resource and void
Quasi- host resource；Mirror image management module 12 is used to provide the image file needed for example to resource management module 11；Above-mentioned service
Management module 10 is additionally operable to install image file generation example on host resource, runs simultaneously admin instance.
The service management module 10 can open an interface to user, for example, can be with login account and the website logged in；
User can submit request to create by the interface；The association attributes of cloud data analysis service are generally comprised in the request to create,
Including affiliated industry, data volume, analysis requirement of real-time, security requirement etc.；Service management module 10 receives request to create
Afterwards, whether the available resources in usually first preliminary audit survey current system can substantially meet the request to create, if it is possible to meet,
Relevant feedback then can be carried out to user.
Can directly include host performance requirement in the request to create that above-mentioned user submits, for example, needed for running example
Memory, processor, data space, data input and output rate etc.；Service management module 10 can be directly according to establishment
Host performance requirement in request, passes through 11 dispatching host machine resource of resource management module.However, certain customers are likely difficult to submit
Accurate host performance requirement, the association attributes for the cloud data analysis service that service management module 10 can submit user at this time
It is analyzed, to obtain host performance requirement；The mode or other intelligence of machine learning specifically may be used in the association attributes
Mode, which automates, to be analyzed, and can also analyze to obtain the host performance requirement of the user using administrator's manual intervention.
After service management module 10 determines host performance requirement, scheduling of resource can be sent to resource management module 11 and referred to
It enables and the host performance requires.Above-mentioned resource management module 11 is connect with each resource pool of cloud platform, and the resource pool is usual
Including resources of virtual machine pond, physical machine resource pool, container resource pool etc.；Resource management module 11 monitors and manages these resource pools
Operating status and use state；After receiving above-mentioned scheduling of resource instruction, transferred from these resource pools and above-mentioned host
The resource that performance requirement matches, while the resource being deployed into is identified.
In general, if host performance requirement is overall general, fictitious host computer, which is only used only, to be met the requirements, in order to save into
Originally and resource utilization is improved, can is preferably that user distributes fictitious host computer resource；If difficult using fictitious host computer merely
Then can be that the user distributes physics host resource to meet above-mentioned host performance requirement；The data processing of physical host resource
Ability, storage capacity and safety etc. are typically superior to fictitious host computer resource.Can be only the user when actually distributing
Physics host resource is distributed, the demand that can also be run according to example, while distributing fictitious host computer resource and physics for the user
Host resource.
The image file needed for various types or the cloud data analysis service of version has usually been pre-saved in cloud platform, it should
Image file is it can be appreciated that Software Compression packet；Mirror image management module 12 is for managing these image files.Above-mentioned service pipe
After reason module 10 receives request to create, corresponding image file can be sent to mirror image management module 12 and obtains request, the acquisition
Can include the corresponding type information of current cloud data analysis service and version information in request；Mirror image management module 12 receives
After obtaining request, according to type information and version information that the acquisition asks to include, extracts and correspond to from the image file of preservation
Image file, and the preservation address of the image file extracted or image file is fed back into resource management module 11 so that
Resource management module 11 gets above-mentioned image file, and image file is stored on the host resource of scheduling.
So far, service management module 10 can be found that the image file on the host resource and the host resource, in master
Image file is decompressed in machine resource, is installed, the example of cloud data analysis service is generated, starts and run the example；Tool
Body may be used cloud computing management platform openstack and complete these steps：First in installation operation frame, selection installation comes
Source preserves the address of image file that is, on the host resource；And then determine the OS Type of current hosts resource；It sets
The disk size of host resource, while multidomain treat-ment is carried out to disk；Again in installation operation frame, installation path is selected, i.e., in fact
The storage location of example；And then the image file is decompressed, after the completion of decompression, starts installation steps, image file is installed to above-mentioned
In storage location；After installation is complete, the primary host resource is usually restarted again, and after the completion of restarting, which starts and can be normal
Operation.
The example during running, executing subsequent data analysis business, service management module 10 by batch processing,
A variety of data analysis service works such as stream process, MPP (Massively Parallel Processor, MPP)
Tool, manages, monitors the example operation conditions, to which data analysis service is managed and be controlled.
The above-mentioned cloud data analysis service that disclosure embodiment provides manages system, and service management module can pass through money
Source control module 11 is scheduled physical host resource and fictitious host computer resource, so that needed for host resource and establishment example
Host performance requires to match；In which, the deployment way of cloud data analysis service is more flexible, makes high performance data point
Analysis service can also realize that meeting the high in the clouds deployment of the data analysis service of different host performance requirements needs by cloud computing
It asks.
By the above embodiment it is found that service management module 10 is as opposite core in cloud data analysis service management system
Module have the function of coordinating, other modules in commander's system in the establishment and operational process of example；In order to preferably
Understand the above embodiment provide cloud data analysis service management system, below the function to the service management module 10 and
The operational process of system is described in detail.
When creating example for user, the storage resource and computing resource in platform are occupied；Therefore, present embodiment
In, user is referred to as the tenant on the platform.As shown in Fig. 2, above-mentioned service management module 10 includes API component 20, appoints
Business component 21 and Agent components 22.
Wherein, API (Application Programming Interface, application programming interface) component 20 is used
In providing interactive interface to tenant, the request to create of the cloud data analysis service example of tenant is received by interactive interface；Task
Component 21 is used for through 11 dispatching host machine resource of resource management module, and controls resource management module to mirror image management module 12
Image file is obtained, image file is stored in host resource；Agent (agency) component 22 is for installing image file, to peace
Image file after dress carries out initialization process, obtains the example of cloud data analysis service.
Above-mentioned API component 20 is mainly used for providing the external service towards tenant, can be with the terminal equipment in communication of tenant
Connection；API component 20 in the system can specifically pass through WSGI (Web Server Gateway Interface, Web service
Device gateway interface) it realizes, WSGI is the universal interface standard between Web server and web application or between frame；Together
When, the realization of RESTFUL frameworks may be used in the design of the API component 20, which needs to meet REST
(Representational State Transfer, declarative state transfer) principle.
When providing service to tenant, the application program installed on the user terminal of tenant may use to be removed API component 20
Other frameworks other than RESTFUL frameworks are realized；The application program and RESTFUL frameworks of various frameworks can be realized in above-mentioned WSGI
Communication between the API component 20 of realization；API component 20 can ask access application by various RESTFUL, to obtain
The relevant information data of user, while receiving the data of application program transmission；The process can also be described as in API component 20,
RESTFUL asks the scheduling of resource between application program.
In creating example procedure, user sends out the request to create of example by application program, which can be
RESTFUL API requests, include different HTTP request type in the RESTFUL API requests, and API component 20 receives the wound
After building request, the preparations such as inspection quota, initialized cryptographic can be carried out, request to create is then passed through into RPC (Remote again
Procedure Call, remote procedure call) or the modes such as message be sent to task component 21.
Task component 21 is as the core component in service management module 10, the work with other assemblies in scheduler module
With the core work for completing cloud data analysis example；During creating example, task component 21 passes through API component
After 20 receive the request to create of example, task component 21 sends the request to create and corresponding master to resource management module 11
Machine performance requirement；Between task component 21 and resource management module 11 can by the API component 20 of resource management module 11 into
Row communication.
After resource management module 11 receives request, require to judge to create the specific host class needed for example according to host performance
Type；In general, can run more fictitious host computers in a physical host, the data processing resources of the physical host and storage provide
Source is shared by more fictitious host computers, and by the security isolation between each fictitious host computer of software realization；Therefore, physical host resource
Data-handling capacity, storage capacity and safety etc. are typically superior to fictitious host computer resource.If the host that user submits
Performance requirement needs a physical host or more physical hosts that could realize, for example, the storage capacity needed for service is two
The summation of physical host；At this point, being directly that user distribution physical host is no longer transported by the direct running example of the physical host
Row fictitious host computer.And if the host performance of user requires the resource that can be provided well below physical host, it is provided based on saving
The considerations of source, then distributes fictitious host computer for the user.
If the example needs physical host, resource management module 11 to be found by internal scheduling component currently available
Physical host, and the physical host is started by relevant computation module；If the example needs fictitious host computer, can pass through
The Hypervisor (being referred to as virtual machine manager) of virtualization is created and is started corresponding fictitious host computer.
After physical host or fictitious host computer start completion, resource management module 11 obtains the section of physical host or fictitious host computer
Point information carries out network of relation configuration, for example, distributing address for physical host or fictitious host computer according to the nodal information to host
Mark；For not running fictitious host computer, the physical host of direct running example then distributes unique address label for the physical host
Know；If operation has multiple fictitious host computers on physical host, corresponding address mark is distributed for each fictitious host computer, no longer for
The physical host distributes address mark.Cloud management platform realizes physical host and virtual master by management address above mentioned mark
The unified management and distribution of machine.Certainly, for other administrative purposes, for example, the management of pure hardware view, operation has fictitious host computer
Physical host corresponding address mark can also be set.
The resource management module 11 is also responsible for downloading the image file needed for example from mirror image management module 12, by the mirror
As some Agent information and configuration information of file and example are injected into the physical host or fictitious host computer of startup.Extremely
This, creates host resource and relevant file needed for example and prepares successfully.
In addition, above-mentioned task component 21 is additionally operable to be managed the whole life cycle of example, including above-mentioned created
Journey, further include example operation monitoring, example destruction, tenant's account management etc..
In data analysis service example operational process, if receiving the service request of example, pass through above-mentioned resource pipe
Module 11 is managed it is also an option that the corresponding container computing resource of service request, big data is carried out using container computing resource to example
Analyzing processing.The container computing resource can be selected from container resource pool, when carrying out analyzing processing, can be asked according to service
The specific business asked further selects suitable big data processing frame to complete data analysis, and it is usual which handles frame
Including Hadoop, Spark, Storm, Solr, MPP etc..
Before example establishment, the corresponding Agent components of example 22 are stored in the related image file of the example；It creates
After host resource needed for example starts, above-mentioned Agent components 22 start automatically, to the image file being stored on host resource
It is installed；After receiving the initialization requests of the transmission of task component 21, the image file after installation is carried out at initialization
Reason, the example created at this time are updated to operating status.In general, Agent components 22 and the service type of example correspond, service
Type is different, and Agent components 22 are also different；In example operational process, Agent components 22 are responsible for executing specific data analysis
The inter-related task of service, for example, the data transmission between example and service management module 10, carries out data analysis service itself
Operation.
In another embodiment, above-mentioned service management module 10 has more perfect functional structure, such as Fig. 3 institutes
Show, on the basis of shown in Fig. 2, which further includes aft-end assembly 23, which can be logical by MQ
Road (or bus) is connect with Agent assembly communications；Above-mentioned Agent components 22 are additionally operable in example operational process, acquire example
Status information；The aft-end assembly 23 is used to status information preserving database corresponding to tenant；Specifically, the reality created
After example is updated to operating status, which is sent to aft-end assembly 23 by Agent components 22, and aft-end assembly 23 corresponds to the state
Conditional code be updated in database.
Aft-end assembly 23 can be understood as the interface module of Agent components 22 and database；It can be seen from the above, Agent groups
Part 22 is corresponded with example, and therefore, also there are Agent components 22 itself multiple types, different types of Agent components 22 to visit
Ask the mode of database, and there may be variations for the type for the database being able to access that；If again according to Agent components 22
The type or access mode of database are set, example can be caused to create cost and increased.Aft-end assembly 23 can be different
Agent components 22 provide a unified interface for accessing database, even if there was only a kind of database, different Agent in platform
Component 22 can also smoothly access database by the aft-end assembly 23, improve the convenience of system data storage.
In the process of running, the same time may handle the wound of multiple tenants to above-mentioned cloud data analysis service management system
Build request, it is also possible to while the operating status of multiple examples is managed, at this point, the nucleus module as system, service management mould
Block 10 is likely to the processing condition data for high concurrent occur, network blockage caused by being transmitted in order to avoid mass data instruction,
Pass through MQ (Message Queue, message queue) tunneling traffic between various components in service management module 10.The channels MQ can
To realize the asynchronous transmission of data between each component, to alleviate the data transmission pressure in service management module 10.
When cloud data analysis service management system manages, runs the example of multiple tenants at the same time, not only need to consider number
According to the performance issue of Analysis Service, it is also necessary to consider the safety issue of data；Based on this, provided in disclosure embodiment
In another cloud data analysis service management system, network management module 13 and authentication management module 14 are further comprised；Network pipe
Module 13 and authentication management module 14 is managed to communicate to connect with above-mentioned service management module respectively；As shown in figure 4, the network management mould
Block 13 is used for the multi-tenant mutually isolated corresponding host resource of way to manage admin instance, container computing resource and data
Library, to realize the security isolation between different tenant's corresponding instances.Wherein, the mutually isolated way to manage of multi-tenant includes to rent
Family configures the hardware or software resource exclusively enjoyed, avoids other tenants from using these resources, you can to accomplish the isolation between tenant.Together
When, network management module 13 is also responsible for ensureing the connectivity of multi-tenant way to manage lower network, with the resource occupied to multi-tenant
Carry out unified coordination arrangement.
The management mode of this multi-tenant can be that each tenant disposes and manage a set of relatively independent big data analysis
Cluster；Fig. 5 show the configuration diagram that cloud data analysis service is disposed using multi-tenant form；In Fig. 5, based on cloud platform
Virtualization pool and physical resource pool (physical resource pool is referred to as bare metal resource pool) can be that each tenant establishes
One VPC (Virtual Private Cloud, virtual private cloud), in each VPC operation have respective big data processing frame
(such as Hadoop), database (such as HBase) and MPP device.
Using VPC as the data analysis service service network of tenant, security isolation and the visit of multi-tenant can be effectively realized
Ask limitation.In the VPC of each tenant, specific requirements unrestricted choice fictitious host computer that can be according to data analysis service or physics master
Machine, to dispose the big data analysis cluster of the tenant, the configuration (such as CPU, memory, storage) of each host and node rule in cluster
Lattice can also change according to the portfolio of subsequent data analysis service carries out dynamic expansion.
In general, the bottom of cloud platform in multiple hardwares resource is deployed in a distributed manner, these hardware resources are taken out by hardware
As layer hides the various interface details of hardware resource, by hardware abstraction, it is convenient for the management of bottom hardware resource；Tenant is in platform
When the example of upper establishment and operation cloud data analysis service, the hardware management mode of this abstract allows tenant to think that the example is transported
Row can not perceive the example actual capabilities and operate on more physical hosts or fictitious host computer on single server.
The above-mentioned management mode with multi-tenant creates and management cloud data analysis service, can make the number of various performance requirements
It is deployed in cloud platform according to Analysis Service, by the isomery cloud resource infrastructure of cloud platform, can effectively carry user's
Data analysis and persistence task.
With continued reference to Fig. 4, above system further includes authentication management module 14, for carrying out authentication and access to tenant
Rights management.Specifically, the authentication management module 14 to tenant carry out authentication when, can check the tenant account,
Password and the identification card number etc. of submission；When tenant logs in, the tenant resource clothes that can be accessed can be provided on the page
Business catalogue；System would generally create an access token, the SID (Security returned comprising logon process in the token
Identifiers, secure identifier) and distribute to the privilege list of the tenant.Authentication management module 14 can be visited by managing
It asks token, controls the data area that the tenant can access, and executable operation etc..The authentication management module 14 can be into
One step improves the safety of system.
It should be noted that the embodiment of above-mentioned each system is described in a progressive manner, each embodiment weight
Point explanation is all difference with other embodiment, and identical similar part is mutually referring to i.e. between each embodiment
It can.
System is managed based on above-mentioned cloud data analysis service, embodiment further provides a kind of cloud data analyses to take for the disclosure
The creation method of pragmatic example, this method comprises the following steps：
Step (1), API component 20 receive the request to create of cloud data analysis service, carry out inspection quota, initialized cryptographic
Etc. preparations, then request to create is sent to task component 21 by RPC.
Step (2), task component 21 sends the request to create to resource management module 11 and corresponding host performance is wanted
It asks.
Step (3) after resource management module 11 receives request, requires to judge to create the tool needed for example according to host performance
Body Host Type；If the example needs physical host, currently available physical host is found by internal scheduling component,
And the physical host is started by relevant computation module；If the example needs fictitious host computer, pass through virtualization
Hypervisor is created and is started corresponding fictitious host computer.
After step (4), physical host or fictitious host computer start completion, resource management module 11 obtains physical host or virtual
The nodal information of host carries out network of relation configuration according to the nodal information to host.
Step (5), resource management module 11 downloads the image file needed for example from mirror image management module 12, by the mirror
As some Agent information and configuration information of file and example are injected into the physical host or fictitious host computer of startup.
Step (6), after host resource starts, above-mentioned Agent components 22 start automatically；Agent components 22 are to being stored in master
Image file in machine resource is installed；After receiving the initialization requests of task component transmission, Agent components 22 are to peace
Image file after dress carries out initialization process, and the example created at this time is updated to operating status.
The operating status is sent to aft-end assembly 23, rear end group by step (7), Agent components 22 by RPC message queues
The corresponding conditional code of the operating status is updated in database by part 23, and cloud data analysis service example creates successfully.
In aforesaid way, system can dispose data analysis clothes automatically, in batches on fictitious host computer, physical host
Business, and these data analysis services can be managed collectively, this data analysis service mixed deployment mode is more flexible.Meanwhile
The operating status and performance indicator that user is serviced by user terminal real time inspection, it is more transparent in service management.
Embodiment further provides a kind of cloud data analysis service management method, this method to be applied to above-mentioned cloud number for the disclosure
System is managed according to Analysis Service；As shown in fig. 6, this method comprises the following steps：
Step S602 receives the request to create of cloud data analysis service example, determines that example is corresponding according to request to create
Host performance requirement；
Step S604, scheduling require the host resource to match with host performance；Wherein, which includes：Physics
Host resource and fictitious host computer resource；
Step S606 obtains the image file needed for example；
Step S608 installs image file on host resource and generates example, operation and admin instance.
The above-mentioned cloud data analysis service management method that disclosure embodiment provides, service management module can pass through money
Source control module is scheduled physical host resource and fictitious host computer resource, so that host resource and the master needed for establishment example
Machine performance requirement matches；In which, the deployment way of cloud data analysis service is more flexible, makes high performance data analysis
Service can also be realized by cloud computing, meet the high in the clouds deployment requirements of the data analysis service of different host performance requirements.
The above method further includes：In example operational process, the status information of example is acquired；Status information is preserved to rent
The corresponding database in family.
The above method further includes：In example operational process, if receiving the service request of example, service request is selected
Corresponding container computing resource carries out big data analysis processing using container computing resource to example.
The above method further includes：With the mutually isolated corresponding host resource of way to manage admin instance of multi-tenant, container
Computing resource and database, to realize the security isolation between different tenant's corresponding instances.
The above method further includes：Authentication and access rights management are carried out to tenant.
Present embodiments provide for a kind of cloud servers corresponding with above system embodiment.Fig. 7 is the high in the clouds
The structural schematic diagram of server, as shown in fig. 7, the cloud server includes processor 701 and memory 702；Wherein, memory
702 for storing one or more computer instruction, and one or more computer instruction is executed by processor, to realize above-mentioned cloud
Data analysis service management method.
Cloud server shown in Fig. 7 further includes bus 703 and forwarding chip 704, processor 701,704 and of forwarding chip
Memory 702 is connected by bus 703.The cloud server can be network edge device.
Wherein, memory 702 may include high-speed random access memory (RAM, Random Access Memory),
May further include non-labile memory (non-volatile memory), for example, at least a magnetic disk storage.Bus
703 can be isa bus, pci bus or eisa bus etc..The bus can be divided into address bus, data/address bus, control always
Line etc..For ease of indicating, only indicated with a four-headed arrow in Fig. 7, it is not intended that an only bus or a type of
Bus.
Forwarding chip 704 will be sealed for being connect at least one user terminal and other network element by network interface
The IPv4 messages or IPv6 messages installed is sent to the user terminal by network interface.
Processor 701 may be a kind of IC chip, the processing capacity with signal.It is above-mentioned during realization
Each step of method can be completed by the integrated logic circuit of the hardware in processor 701 or the instruction of software form.On
The processor 701 stated can be general processor, including central processing unit (Central Processing Unit, abbreviation
CPU), network processing unit (Network Processor, abbreviation NP) etc.；It can also be digital signal processor (Digital
Signal Processing, abbreviation DSP), application-specific integrated circuit (Application Specific Integrated
Circuit, abbreviation ASIC), ready-made programmable gate array (Field-Programmable Gate Array, abbreviation FPGA) or
Person other programmable logic device, discrete gate or transistor logic, discrete hardware components.It may be implemented or execute sheet
Disclosed each method, step and logic diagram in invention embodiment.General processor can be microprocessor or this at
It can also be any conventional processor etc. to manage device.The step of method in conjunction with disclosed in embodiment of the present invention, can direct body
Be now that hardware decoding processor executes completion, or in decoding processor hardware and software module combine and execute completion.It is soft
Part module can be located at random access memory, and flash memory, read-only memory, programmable read only memory or electrically erasable programmable are deposited
In the storage medium of this fields such as reservoir, register maturation.The storage medium is located at memory 702, and processor 701 reads storage
Information in device 702, in conjunction with its hardware complete aforementioned embodiments method the step of.
Embodiment of the present invention additionally provides a kind of machine readable storage medium, and machine readable storage medium storage is organic
Device executable instruction, for the machine-executable instruction when being called and being executed by processor, machine-executable instruction promotes processor
Realize that above-mentioned cloud data analysis service management method, specific implementation can be found in method embodiment, details are not described herein.
The cloud data analysis service management method and cloud server that embodiment of the present invention is provided, realization principle and
The technique effect of generation is identical with aforementioned system embodiment, to briefly describe, method and cloud server embodiment part
Place is not referred to, can refer to corresponding contents in aforementioned system embodiment.
In several embodiments provided herein, it should be understood that disclosed device and method can also lead to
Other modes are crossed to realize.Device embodiments described above are only schematical, for example, the flow chart in attached drawing and
Block diagram show the device of multiple embodiments according to the present invention, method and computer program product system in the cards
Framework, function and operation.In this regard, each box in flowchart or block diagram can represent a module, program segment or generation
A part for code, the part of the module, section or code include one or more for realizing defined logic function
Executable instruction.It should also be noted that at some as in the realization method replaced, the function that is marked in box can also be with
Occur different from the sequence marked in attached drawing.For example, two continuous boxes can essentially be basically executed in parallel, they
Sometimes it can also execute in the opposite order, this is depended on the functions involved.It is also noted that block diagram and or flow chart
In each box and the box in block diagram and or flow chart combination, the special of function or action as defined in executing can be used
Hardware based system is realized, or can be realized using a combination of dedicated hardware and computer instructions.
In addition, each function module or unit in each embodiment of the present invention can integrate to form one solely
Vertical part can also be modules individualism, can also two or more modules be integrated to form one it is independent
Part.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer read/write memory medium.Based on this understanding, the technical solution of the disclosure is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be expressed in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be
People's computer, server or network equipment etc.) execute all or part of step of each embodiment the method for the disclosure
Suddenly.And storage medium above-mentioned includes：USB flash disk, read-only memory (ROM, Read-Only Memory), is deposited mobile hard disk at random
The various media that can store program code such as access to memory (RAM, Random Access Memory), magnetic disc or CD.
Finally it should be noted that：Embodiment described above, the only specific implementation mode of the disclosure, to illustrate this public affairs
The technical solution opened, rather than its limitations, the protection domain of the disclosure are not limited thereto, although with reference to aforementioned embodiments pair
The disclosure is described in detail, it will be understood by those of ordinary skill in the art that：Any technology for being familiar with the art
Personnel can still modify to the technical solution recorded in aforementioned embodiments in the technical scope that the disclosure discloses
Or variation or equivalent replacement of some of the technical features can be readily occurred in；And these modifications, variation or replacement,
The spirit and scope for disclosure embodiment technical solution that it does not separate the essence of the corresponding technical solution, should all cover in this public affairs
Within the protection domain opened.Therefore, the protection domain of the disclosure shall be subject to the protection scope of the claim.
Claims (13)
1. a kind of cloud data analysis service manages system, which is characterized in that the system comprises：
Service management module, the request to create for receiving cloud data analysis service example determine institute according to the request to create
State the corresponding host performance requirement of example；
Resource management module, for requiring the host to match to provide with the host performance for service management module scheduling
Source, and obtain the image file needed for the example；Wherein, the host resource includes：Physical host resource and virtual master
Machine resource；
Mirror image management module, for providing the image file needed for the example to the resource management module；
The service management module is additionally operable to install the image file generation example on the host resource, and operation is simultaneously
Manage the example.
2. system according to claim 1, which is characterized in that the service management module includes：
API component, for providing interactive interface to tenant, the cloud data analysis that the tenant is received by the interactive interface takes
The request to create of pragmatic example；
Task component, for dispatching the host resource, and the control resource management mould by the resource management module
Block obtains the image file to mirror image management module, and the image file is stored in the host resource；
Agent components are all connected with the API component and task component, for installing the image file, to the institute after installation
It states image file and carries out initialization process, obtain the example of the cloud data analysis service.
3. system according to claim 2, which is characterized in that the service management module further includes aft-end assembly；
The Agent components are additionally operable in the example operational process, acquire the status information of the example；
The aft-end assembly is connect with the Agent components, for the status information to be preserved number corresponding to the tenant
According to library.
4. system according to claim 3, which is characterized in that pass through between the various components in the service management module
MQ tunneling traffics.
5. system according to claim 1, which is characterized in that the service management module is additionally operable to：
In the example operational process, if receiving the service request of the example, selected by the resource management module
The corresponding container computing resource of the service request is selected, the example is carried out at big data analysis using container computing resource
Reason.
6. system according to claim 1, which is characterized in that the system also includes：Network management module, for more
The mutually isolated way to manage of tenant manages the corresponding host resource of the example, container computing resource and database, to realize
Security isolation between different tenant's corresponding instances.
7. system according to claim 1, which is characterized in that the system also includes：Authentication management module, for renting
Family carries out authentication and access rights management.
8. a kind of cloud data analysis service management method, which is characterized in that the method is applied to any one of claim 1 to 7
The system；The method includes：
The request to create for receiving cloud data analysis service example, the corresponding host of the example is determined according to the request to create
It can require；
Scheduling requires the host resource to match with the host performance；Wherein, the host resource includes：Physical host resource
With fictitious host computer resource；
Obtain the image file needed for the example；
The image file is installed on the host resource and generates the example, runs and manages the example.
9. according to the method described in claim 8, it is characterized in that, the method further includes：
In the example operational process, the status information of the example is acquired；
The status information is preserved into database corresponding to the tenant.
10. according to the method described in claim 8, it is characterized in that, the method further includes：
In the example operational process, if receiving the service request of the example, select the service request corresponding
Container computing resource carries out big data analysis processing using container computing resource to the example.
11. according to the method described in claim 8, it is characterized in that, the method further includes：
The corresponding host resource of the example, container computing resource and data are managed with the mutually isolated way to manage of multi-tenant
Library, to realize the security isolation between different tenant's corresponding instances.
12. according to the method described in claim 8, it is characterized in that, the method further includes：To tenant carry out authentication and
Access rights management.
13. a kind of cloud server, which is characterized in that including memory and processor, wherein the memory is for storing one
Item or a plurality of computer instruction, one or more computer instruction are executed by the processor, with realize claim 8 to
12 any one of them methods.
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| CN113900892A (en) * | 2021-09-30 | 2022-01-07 | 北京青云科技股份有限公司 | Cloud firewall system facing cloud platform and protection method |
| CN114780228A (en) * | 2022-06-23 | 2022-07-22 | 浙江九州云信息科技有限公司 | Hybrid cloud resource creation method and system |
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