CN105681392A - Cloud computing intelligent data resource scheduling computing management platform - Google Patents
Cloud computing intelligent data resource scheduling computing management platform Download PDFInfo
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- CN105681392A CN105681392A CN201511014533.6A CN201511014533A CN105681392A CN 105681392 A CN105681392 A CN 105681392A CN 201511014533 A CN201511014533 A CN 201511014533A CN 105681392 A CN105681392 A CN 105681392A
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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
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
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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]
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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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- Computer Networks & Wireless Communication (AREA)
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- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a cloud computing intelligent data resource scheduling computing management platform. Through setting an APP server, an app load balancer, a database master and database slaves, the services of the Google app engine are realized by simulation; through a GAE interface, the high extensible infrastructure similar to the Google can be obtained; according to the cloud computing intelligent data resource scheduling computing management platform provided by the invention, the GAE function is imitated; the open API of the Google app engine is realized; the infrastructure and distributed application program tools comprising EC2 and eucalyptus are provided; moreover, the platform is in benign butt joint with the existing cloud facility and Web service technique construction; therefore, the new applications, such as cloud application service, database service and scheduling strategy are liable to be developed and extended; and the existing GAE application program becomes the user available cluster resource.
Description
Technical field
The present invention relates to the technical field of cloud computing resources scheduling, it is that a kind of cloud computing intelligent data resource scheduling calculates 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 (grade of service agreement), and can be bonded to existing infrastructure mode rapidly. After Amazon network center creates this " cloud " technology, this is based on operating system virtualization (as: Xen, VMware etc.), all having had considerable progress in the function of cloud technology 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 kind of height provides a large amount of operated extended functionalitys. Most importantly, which simplify large-scale distributed system required workload and work difficulty when management and configuration deployment, the more transparent adaptive management operating method with automatization so that any one user likely carries out this originally can not completing of task. So far, developer can be absorbed in the innovation of utilisation 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, it is difficult to use due to these systems, so the time grown may be needed very much just to apply to commercial applications.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of cloud computing intelligent data resource scheduling and calculates management platform.
The present invention is the technical scheme that the technical problem existed in solution known technology is taked:
The cloud computing intelligent data resource scheduling of the present invention calculates management platform, comprises application executive module AppServer, load balancing assembly AppLoadBalancer, database access assembly DatabaseMaster and database purchase assembly DatabaseSlaves;Wherein applying and communicated to connect between two by application controller AppController between executive module AppServer, load balancing assembly AppLoadBalancer, database access assembly DatabaseMaster, database access assembly DatabaseMaster and database purchase assembly DatabaseSlaves is interconnected.
The present invention can also adopt following technical measures:
The application program one_to_one corresponding of application executive module AppServer and execution, the corresponding application program of each application executive module AppServer.
Load balancing assembly AppLoadBalancer distributes the initial request from user, is each application program delivery applications executive module AppServer.
Database access assembly DatabaseMaster is the primary interface of data warehouse, it provides the access to the various data available warehouse of Oracle, MySQL, Cassandra, Voldemort, MongoDB, HBase and HyperTable.
Database purchase assembly DatabaseSlaves comprises multiple database.
The advantage that the present invention has and positively effect be:
The cloud computing intelligent data resource scheduling of the present invention calculates in management platform, by arranging application executive module AppServer, load balancing assembly AppLoadBalancer, database access assembly DatabaseMaster and database purchase assembly DatabaseSlaves; The simulated implementation service of Google AppEngine. By GAE interface, the height that can obtain similar Google can spread footing facility. The cloud computing intelligent data resource scheduling of the present invention calculates management platform, has copied GAE function, it is achieved that the API that Google AppEngine is open, and has provided infrastructures and Distributed Application program means, has 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 the cloud computing intelligent data resource scheduling calculating management platform of the present invention.
Embodiment
Below by way of the drawings and specific embodiments, the technical scheme of the present invention is described in detail.
As shown in Figure 1, the cloud computing intelligent data resource scheduling of the present invention calculates management platform, comprises application executive module AppServer, load balancing assembly AppLoadBalancer, database access assembly DatabaseMaster and database purchase assembly DatabaseSlaves; Wherein applying and communicated to connect between two by application controller AppController between executive module AppServer, load balancing assembly AppLoadBalancer, database access assembly DatabaseMaster, database access assembly DatabaseMaster and database purchase assembly DatabaseSlaves is interconnected.
The application program one_to_one corresponding of application executive module AppServer and execution, it is an expansion to GoogleAppEngineSDK in order to this locality execution AppEngine application program. The corresponding application program of each application executive module AppServer, multiple application program, it is possible to add multiple AppServer.
Load balancing assembly is responsible for distributing the initial request from user. After user successfully logs in, Request routing will be given suitable AppServer to be this application program actual treatment request by load balancing device.Hereafter, load balancing device just no longer participates in, and user is routed to suitable AppServer. From this kind of meaning, it has a little different from traditional load balancing device. Load balancing device is a RubyonRails application program.
Database access assembly DatabaseMaster is the primary interface of data warehouse, it provides the access to the various data available warehouse of Oracle, MySQL, Cassandra, Voldemort, MongoDB, HBase and HyperTable.
Database purchase assembly DatabaseSlaves comprises multiple database, it provides distributed, scalable fault-tolerant data managing capacity.
Above-mentioned each assembly can use AppController and other component communications, and AppController controls the setting owning (ControlCenterYunbaba) management platform examples in deployed environment, initialize and dismounting. AppController is also responsible for deployment and the authentication of AppEngine application program.
The cloud computing intelligent data resource scheduling of the present invention calculates in management platform, by arranging application executive module AppServer, load balancing assembly AppLoadBalancer, database access assembly DatabaseMaster and database purchase assembly DatabaseSlaves; The simulated implementation service of Google AppEngine. By GAE interface, the height that can obtain similar Google can spread footing facility. The cloud computing intelligent data resource scheduling of the present invention calculates management platform, has copied GAE function, it is achieved that the API that Google AppEngine is open, and has provided infrastructures and Distributed Application program means, has 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.
The above, it it is only the better embodiment of the present invention, not the present invention is done any restriction in form, although the present invention is with better 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 embodiment of equivalent variations, in every case it is the content not departing from technical solution of the present invention, the any simple modification above embodiment done according to the technical spirit of the present invention, equivalent variations and modification, all belong in the scope of technical solution of the present invention.
Claims (5)
1. a cloud computing intelligent data resource scheduling calculates management platform, it is characterised in that: comprise application executive module AppServer, load balancing assembly AppLoadBalancer, database access assembly DatabaseMaster and database purchase assembly DatabaseSlaves; Wherein applying and communicated to connect between two by application controller AppController between executive module AppServer, load balancing assembly AppLoadBalancer, database access assembly DatabaseMaster, database access assembly DatabaseMaster and database purchase assembly DatabaseSlaves is interconnected.
2. cloud computing intelligent data resource according to claim 1 scheduling calculates management platform, it is characterised in that: the application program one_to_one corresponding of application executive module AppServer and execution, the corresponding application program of each application executive module AppServer.
3. cloud computing intelligent data resource according to claim 2 scheduling calculates management platform, it is characterized in that: load balancing assembly AppLoadBalancer distributes the initial request from user, is each application program delivery applications executive module AppServer.
4. cloud computing intelligent data resource according to claim 3 scheduling calculates management platform, it is characterized in that: database access assembly DatabaseMaster is the primary interface of data warehouse, it provides the access to the various data available warehouse of Oracle, MySQL, Cassandra, Voldemort, MongoDB, HBase and HyperTable.
5. cloud computing intelligent data resource according to claim 4 scheduling calculates management platform, it is characterised in that: database purchase assembly DatabaseSlaves comprises multiple database.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201511014533.6A CN105681392A (en) | 2015-12-31 | 2015-12-31 | Cloud computing intelligent data resource scheduling computing management platform |
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| CN201511014533.6A CN105681392A (en) | 2015-12-31 | 2015-12-31 | Cloud computing intelligent data resource scheduling computing management platform |
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Citations (4)
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|---|---|---|---|---|
| CN102123054A (en) * | 2011-04-19 | 2011-07-13 | 北京神州数码思特奇信息技术股份有限公司 | System for managing and controlling cloud computing network technology |
| CN102170474A (en) * | 2011-04-22 | 2011-08-31 | 广州杰赛科技股份有限公司 | Method and system for dynamic scheduling of virtual resources in cloud computing network |
| US20140019638A1 (en) * | 2012-07-11 | 2014-01-16 | Empire Technology Development Llc | Network congestion reduction |
| CN104111874A (en) * | 2014-02-13 | 2014-10-22 | 西安未来国际信息股份有限公司 | High-concurrence high-reliability load balance software architecture design of virtual mainframe in cloud computing environment |
-
2015
- 2015-12-31 CN CN201511014533.6A patent/CN105681392A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102123054A (en) * | 2011-04-19 | 2011-07-13 | 北京神州数码思特奇信息技术股份有限公司 | System for managing and controlling cloud computing network technology |
| CN102170474A (en) * | 2011-04-22 | 2011-08-31 | 广州杰赛科技股份有限公司 | Method and system for dynamic scheduling of virtual resources in cloud computing network |
| US20140019638A1 (en) * | 2012-07-11 | 2014-01-16 | Empire Technology Development Llc | Network congestion reduction |
| CN104111874A (en) * | 2014-02-13 | 2014-10-22 | 西安未来国际信息股份有限公司 | High-concurrence high-reliability load balance software architecture design of virtual mainframe in cloud computing environment |
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| 刘晓刚: "基于开源云计算的远程教育系统的设计与实现", 《中国教育信息化（建设_软件开发）》 * |
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