CN105577807A - Cloud computing data resource scheduling WEB management platform - Google Patents
Cloud computing data resource scheduling WEB management platform Download PDFInfo
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- CN105577807A CN105577807A CN201511014536.XA CN201511014536A CN105577807A CN 105577807 A CN105577807 A CN 105577807A CN 201511014536 A CN201511014536 A CN 201511014536A CN 105577807 A CN105577807 A CN 105577807A
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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
- H04L67/104—Peer-to-peer [P2P] networks
- H04L67/1074—Peer-to-peer [P2P] networks for supporting data block transmission mechanisms
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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
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
Abstract
The invention discloses a cloud computing data resource scheduling WEB management platform, comprising a cloud controller, a storage management Walrus, a cluster controller, a node controller and a storage controller. According to the platform of the invention, the service of the Google App Engine is simulated and realized; and the highly scalable infrastructure similar to the Google can be obtained through a GAE interface. According to the cloud computing data resource scheduling WEB management platform of the invention, the GAE function is simulated; the API opened by the Google App Engine is realized; the infrastructure and a distributed application program tool are provided, comprising an EC2 and an Eucalyptus; moreover, the platform of the invention can be docked with the existing cloud facility and the WEB service technique construction, therefore, development and expansion of new applications are easy; the new applications comprise cloud application service, database service and scheduling strategies; and the existing GAE application program can become the user available cluster resource.
Description
Technical field
The present invention relates to the technical field of cloud computing resources scheduling, is a kind of cloud computing data resource scheduling WEB management platform specifically.
Background technology
Cloud computing is the emerging development concept of service-oriented device PC cluster service.It seems from the angle of user, it is a very effective calculating solution based on SLA (service-level agreement), and can be bonded to existing infrastructure mode rapidly.After Amazon center creates this " cloud " technology, this is based on operating system virtual (as: Xen, VMware etc.), all had considerable progress in the function of cloud and calculated performance isolation, cloud computing support is that each user or each application program can have by customization the service (comprising any high-level language, interface routine and Web service) being more applicable for oneself.
The customize services mode of this height provides a large amount of operated expanded functions.Most importantly, which simplify large-scale distributed system required workload and work difficulty when management and configuration deployment, the adaptive management mode of operation of more transparent and automation, makes any one user all likely carry out this original impossible mission.So far, developer can be absorbed in the innovation of application technology more.
But current existing cloud computing product limits the development of cloud itself, it is more beneficial in the application interface of privately owned infrastructure construction at present.Although there is the small-sized cloud computing product that some are a small amount of, because these systems are difficult to use, so long time may be needed just to apply to business application.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of cloud computing data resource scheduling WEB management platform.
The technical scheme that the present invention takes for the technical problem existed in solution known technology is:
Cloud computing data resource scheduling WEB management platform of the present invention, comprises cloud controller CloudController, storage administration assembly Walrus, cluster controller ClusterController, Node Controller NodeController and storage control StorageController.
The present invention can also adopt following technical measures:
Described cloud controller CloudController is the entrance that all users and keeper enter Eucalyptus management platform, All Clients is only communicated with cloud controller CloudController by the API based on SOAP or REST, and it to be responsible for request forwarding to correct assembly, to collect them and the response from these assemblies is sent back to corresponding client computer.
Described cluster controller ClusterController manages whole virtual instance network, and each request is sent to cluster controller by the interface based on SOAP or REST; Cluster controller safeguards the full detail about operating in intrasystem NodeController, and is responsible for the life cycle controlling these examples; Cluster controller opens the Request routing of virtual instance to the Node Controller NodeController with available resources.
Described Node Controller NodeController main control system operating system and corresponding hypervisor.
Described request is by being passed to storage administration assembly Walrus based on the interface of SOAP or REST.
Described storage control StorageController and storage administration assembly Walrus associated working, store and accesses virtual machine reflection, kernel reflection, RAM disk image and user data.
The advantage that described the present invention has and good effect are:
In cloud computing data resource scheduling WEB management platform of the present invention, comprise cloud controller CloudController, storage administration assembly Walrus, cluster controller ClusterController, Node Controller NodeController and storage control StorageController; The simulated implementation of the present invention service of Google AppEngine, by GAE interface, can obtain the height easily extensible infrastructure of similar Google.Cloud computing data resource scheduling WEB management platform of the present invention, has copied GAE function, has achieved the API that Google AppEngine is open, and provided infrastructures and distributed application program instrument, comprised EC2 and Eucalyptus.In addition, the present invention can carry out optimum docking with existing cloud facility and Web service technology construction, and this is highly susceptible to exploitation and the expansion of new opplication, as: cloud application service, database service and scheduling strategy etc., this makes existing GAE application program become user can utilize cluster resource.
Accompanying drawing explanation
Fig. 1 is the configuration diagram of cloud computing data resource of the present invention scheduling WEB management platform.
Embodiment
Below by way of the drawings and specific embodiments, technical scheme of the present invention is described in detail.
As shown in Figure 1, cloud computing data resource scheduling WEB management platform of the present invention, comprises cloud controller CloudController, storage administration assembly Walrus, cluster controller ClusterController, Node Controller NodeController and storage control StorageController.
The present invention can also adopt following technical measures:
Cloud controller CloudController, be called for short CLC, for all users and keeper enter the entrance of Eucalyptus management platform, All Clients is only communicated with cloud controller CloudController by the API based on SOAP or REST, and it to be responsible for request forwarding to correct assembly, to collect them and the response from these assemblies is sent back to corresponding client computer.
Cluster controller ClusterController, is called for short CC, manages whole virtual instance network, and each request is sent to cluster controller by the interface based on SOAP or REST; Cluster controller safeguards the full detail about operating in intrasystem NodeController, and is responsible for the life cycle controlling these examples; Cluster controller opens the Request routing of virtual instance to the Node Controller NodeController with available resources.
Node Controller NodeController, is called for short NC, main control system operating system and corresponding hypervisor.
Request is by being passed to storage administration assembly Walrus based on the interface of SOAP or REST.
Storage control StorageController, is called for short SC, with storage administration assembly Walrus associated working, stores and accesses virtual machine reflection, kernel reflection, RAM disk image and user data.
Above-mentioned cloud controller CLC and Walrus is the assembly of highest level.Cloud controller is a java applet, the SOAP of the EC2 compatibility that it provides and " inquiry " interface, and a web interface outwardly.Except processing the request of importing into, cloud controller carries out high-level scheduling of resource and the accounting of system.Walrus, writes with Java, and it is expanded by the cloud of SOAP and the REST interface of the compatibility of outside and inner EC2, S3, KVM/XEN/BIND/APACHE/DOCKER/.Top layer assembly can from multiple total resources of trooping, and the shared network segment node namely collected, may after fire compartment wall.Each needs one of trooping are trooped level scheduling and network control and " " the block-based of the style of EBS stores the cluster control unit CC's of SC to storage control.Two level assemblies of trooping are deployed in first cluster node usually.Finally, each node administration program is by needs node control hypervisor controller digital-control.CC and NC writes on C and ApacheWeb service as On-premise; SC Java write.Communication between these assemblies is local by SOAP and WS-fail safe.Many instructions in the technical program, refer to single installation of trooping, and wherein except numerical control all component all coexists in a machine, we are referred to as front position.Other machines all, only run NCs, will be called as node.In more advanced configuration, as many CCS or dispose separately with Walrus, front end is with reference to the CLC that just machine runs.
The above, it is only preferred embodiment of the present invention, not any pro forma restriction is done to the present invention, although the present invention with preferred embodiment openly as above, but, and be not used to limit the present invention, any those skilled in the art, do not departing within the scope of technical solution of the present invention, certainly the technology contents of announcement can be utilized to make a little change or modification, become the Equivalent embodiments of equivalent variations, in every case be the content not departing from technical solution of the present invention, according to any simple modification that technical spirit of the present invention is done above embodiment, equivalent variations and modification, all belong in the scope of technical solution of the present invention.
Claims (6)
1. a cloud computing data resource scheduling WEB management platform, is characterized in that: comprise cloud controller CloudController, storage administration assembly Walrus, cluster controller ClusterController, Node Controller NodeController and storage control StorageController.
2. cloud computing data resource scheduling WEB management platform according to claim 1, it is characterized in that: cloud controller CloudController is the entrance that all users and keeper enter Eucalyptus management platform, All Clients is only communicated with cloud controller CloudController by the API based on SOAP or REST, and it to be responsible for request forwarding to correct assembly, to collect them and the response from these assemblies is sent back to corresponding client computer.
3. cloud computing data resource scheduling WEB management platform according to claim 2, it is characterized in that: cluster controller ClusterController manages whole virtual instance network, each request is sent to cluster controller by the interface based on SOAP or REST; Cluster controller safeguards the full detail about operating in intrasystem NodeController, and is responsible for the life cycle controlling these examples; Cluster controller opens the Request routing of virtual instance to the Node Controller NodeController with available resources.
4. cloud computing data resource scheduling WEB management platform according to claim 3, is characterized in that: Node Controller NodeController main control system operating system and corresponding hypervisor.
5. cloud computing data resource scheduling WEB management platform according to claim 4, is characterized in that: ask by being passed to storage administration assembly Walrus based on the interface of SOAP or REST.
6. cloud computing data resource scheduling WEB management platform according to claim 5, it is characterized in that: storage control StorageController and storage administration assembly Walrus associated working, store and accesses virtual machine reflection, kernel reflection, RAM disk image and user data.
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| CN107329799A (en) * | 2017-05-22 | 2017-11-07 | 国网安徽省电力公司信息通信分公司 | A kind of fusion Docker containers and the system of KVM virtualization technology |
| CN114219114A (en) * | 2021-12-24 | 2022-03-22 | 南京莫愁智慧信息科技有限公司 | Reservation big data-based tourism passenger flow management and control method and cloud service platform |
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| CN114219114A (en) * | 2021-12-24 | 2022-03-22 | 南京莫愁智慧信息科技有限公司 | Reservation big data-based tourism passenger flow management and control method and cloud service platform |
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Application publication date: 20160511 |