CN110909081A - Back-end data fusion rendering service method - Google Patents
Back-end data fusion rendering service method Download PDFInfo
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- CN110909081A CN110909081A CN201911211153.XA CN201911211153A CN110909081A CN 110909081 A CN110909081 A CN 110909081A CN 201911211153 A CN201911211153 A CN 201911211153A CN 110909081 A CN110909081 A CN 110909081A
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- 238000009877 rendering Methods 0.000 title claims abstract description 78
- 238000000034 method Methods 0.000 title claims abstract description 18
- 230000004927 fusion Effects 0.000 title claims abstract description 10
- 238000012544 monitoring process Methods 0.000 claims abstract description 4
- 238000004364 calculation method Methods 0.000 claims description 30
- 241001362551 Samba Species 0.000 claims description 6
- 230000007175 bidirectional communication Effects 0.000 claims description 3
- 238000013079 data visualisation Methods 0.000 claims description 3
- 230000003993 interaction Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000013500 data storage Methods 0.000 abstract description 5
- 230000009286 beneficial effect Effects 0.000 description 1
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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
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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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
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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
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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Abstract
The invention discloses a back-end data fusion rendering service method, relates to the technical field of computers, and provides the following scheme aiming at the problem that a super computer, cloud computing and big data storage cannot be fused, wherein the scheme comprises the following steps: a user initiates a rendering resource request through a user browser; the authentication server authenticates the validity of the request; after the authentication is successful, the rendering server starts a rendering instance and feeds back Websocket monitoring information to the user browser through the Web server; a user browser requests a Websocket connection from a rendering server; the authentication server authenticates the validity of the request; after the authentication is successful, establishing Websocket connection between the rendering server and the user browser; the user browser converts the monitored user operation behavior into an operation instruction and sends the operation instruction to the rendering server through the Websocket; and the rendering server drives the graphics to be rendered and sends the rendered graphics data to the user browser for the user to view. The invention realizes the sharing access of the cloud platform to the files of the storage system of the super computer.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a service method for fusion rendering of back-end data.
Background
In the case of back-end rendering of HTML, the browser will receive the final HTML string presented to the user directly after computation by the server, where computation is done by the server parsing the template file stored at the server side, in which case the browser only performs the parsing of the HTML and displays the image represented by the HTML on the display to the user through a system call provided by the operating system to manipulate the display content of the display.
However, how to construct a service environment in which a supercomputer is integrated with cloud computing and big data storage and how to realize shared access of a cloud platform virtual host to supercomputer storage system files is not reported at present.
Disclosure of Invention
In order to achieve the purpose, the invention adopts the following technical scheme:
a back-end data fusion rendering service method comprises the following steps:
step one, a user initiates a resource rendering request through a user browser;
authenticating the validity of a rendering resource request initiated by a user by accessing an authentication server in the cloud platform;
step three, after the authentication is successful, a rendering instance is started by a rendering server in the cloud platform, and Websocket monitoring information is fed back to a user browser through a Web server;
fourthly, the platform front end in the user browser requests a Websocket connection to a rendering server;
step five, the authentication server in the cloud platform authenticates the effectiveness of the request Websocket connection;
step six, after the authentication is successful, establishing Websocket connection between a rendering server in the cloud platform and a platform front end in a user browser;
step seven, the platform front end in the user browser converts the monitored user operation behavior into an operation instruction and sends the operation instruction to a rendering server in the cloud platform through Websocket;
step eight, a rendering server in the cloud platform drives graphics to render;
and step nine, the rendering server in the cloud platform sends the rendered graphic data to the front end of the platform in the user browser for the user to view.
Preferably, the rendering resource in the rendering resource request is a calculation result stored in a storage node module in the super computer.
Preferably, the storage node module stores the calculation result obtained by the calculation node module, and the calculation result is obtained by the calculation node module in the super computer.
Preferably, in the sixth step, after the authentication is successful, the rendering server establishes a Websocket long connection with the platform front end in the user browser by starting the command processing service.
Preferably, in the ninth step, the rendering server sends the rendered graphic data to a platform front end in a user browser through Websocket for a user to view.
Another object of the present invention is to provide a method for sharing access to a supercomputer storage system file by a cloud platform, comprising:
the super computer stores a calculation result obtained by a calculation node module in the super computer in a storage node module in the super computer, a cloud platform accesses the storage node module through Samba service and directly reads the calculation result in the storage node module, so that a bottom layer accesses a WEB server of the cloud platform through an Http protocol when a user accesses the cloud platform through a user browser, when the user needs to perform data visualization on the calculation result in the storage node module of the super computer, the user initiates a data rendering request to the WEB server in the cloud platform through a user browser and authenticates the validity of the data rendering request through an authentication server, after the authentication is successful, a bidirectional communication channel is established between the user browser and the rendering server based on a Websocket protocol to realize the synchronization of a user graphic interaction instruction and the rendering operation of the rendering server, and meanwhile, the rendering server reads the calculation result stored in the storage node module through the Samba service to perform data rendering.
Compared with the prior art, the invention has the beneficial effects that:
the method constructs a service environment integrating the supercomputer, cloud computing and big data storage, and realizes the shared access of the cloud platform to the supercomputer storage system file.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a flowchart illustrating sharing access of a cloud platform to a supercomputer storage system file in a service environment constructed by the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-2, how to construct a service environment in which a supercomputer is integrated with cloud computing and big data storage can be realized by the following method, including the following steps:
step one, a user initiates a resource rendering request through a user browser;
secondly, the WEB server authenticates the effectiveness of the rendering resource request initiated by the user through accessing the authentication server;
step three, after the authentication is successful, the WEB server informs the rendering server to start a rendering instance, and the Websocket monitoring information is fed back to the user browser through the Web server;
fourthly, the platform front end in the user browser requests a Websocket connection to a rendering server;
step five, the rendering server authenticates the effectiveness of the request Websocket connection through accessing the authentication server;
after the authentication is successful, the rendering server establishes Websocket long connection with a platform front end in a user browser through starting a command processing service;
step seven, the platform front end in the user browser converts the monitored user operation behavior into an operation instruction and sends the operation instruction to the rendering server through the Websocket;
step eight, the rendering server drives the graphics rendering;
step nine, the rendering server sends the rendered graphic data to the front end of a platform in a user browser through Websocket for a user to view;
rendering resources in the rendering resource request are calculation results stored in a storage node module in the super computer, the storage node module stores the calculation results obtained by the calculation node module, and the calculation results are obtained by the calculation node module in the super computer.
Under the service environment that the supercomputer constructed based on the method is fused with cloud computing and big data storage, the cloud platform carries out shared access on the supercomputer storage system file, and the specific process is as follows:
the super computer stores a calculation result obtained by a calculation node module in the super computer in a storage node module in the super computer, a cloud platform accesses the storage node module through Samba service and directly reads the calculation result in the storage node module, so that a bottom layer accesses a WEB server of the cloud platform through an Http protocol when a user accesses the cloud platform through a user browser, when the user needs to perform data visualization on the calculation result in the storage node module of the super computer, the user initiates a data rendering request to the WEB server in the cloud platform through a user browser and authenticates the validity of the data rendering request through an authentication server, after the authentication is successful, a bidirectional communication channel is established between the user browser and the rendering server based on a Websocket protocol to realize the synchronization of a user graphic interaction instruction and the rendering operation of the rendering server, and meanwhile, the rendering server reads the calculation result stored in the storage node module through the Samba service to perform data rendering.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. A back-end data fusion rendering service method is characterized by comprising the following steps:
step one, a user initiates a resource rendering request through a user browser;
authenticating the validity of a rendering resource request initiated by a user by accessing an authentication server in the cloud platform;
step three, after the authentication is successful, a rendering instance is started by a rendering server in the cloud platform, and Websocket monitoring information is fed back to a user browser through a Web server;
fourthly, the platform front end in the user browser requests a Websocket connection to a rendering server;
step five, the authentication server in the cloud platform authenticates the effectiveness of the request Websocket connection;
step six, after the authentication is successful, establishing Websocket connection between a rendering server in the cloud platform and a platform front end in a user browser;
step seven, the platform front end in the user browser converts the monitored user operation behavior into an operation instruction and sends the operation instruction to a rendering server in the cloud platform through Websocket;
step eight, a rendering server in the cloud platform drives graphics to render;
and step nine, the rendering server in the cloud platform sends the rendered graphic data to the front end of the platform in the user browser for the user to view.
2. The backend data fusion rendering service method according to claim 1, wherein the rendering resource in the rendering resource request is a calculation result stored in a storage node module in the super computer.
3. The backend data fusion rendering service method according to claim 2, wherein the storage node module stores the calculation result obtained by the calculation node module, and the calculation result is obtained by the calculation node module in the super computer.
4. The backend data fusion rendering service method according to claim 1, wherein in step six, the rendering server establishes a Websocket long connection with a platform front end in a user browser by starting a command processing service.
5. The backend data fusion rendering service method according to claim 1, wherein in step nine, the rendering server sends the rendered graphic data to a platform front end in a user browser through a Websocket for viewing by a user.
6. A method of sharing access to supercomputer storage system files by a cloud platform based on the method of any of claims 1 to 5, comprising:
the super computer stores a calculation result obtained by a calculation node module in the super computer in a storage node module in the super computer, a cloud platform accesses the storage node module through Samba service and directly reads the calculation result in the storage node module, so that a bottom layer accesses a WEB server of the cloud platform through an Http protocol when a user accesses the cloud platform through a user browser, when the user needs to perform data visualization on the calculation result in the storage node module of the super computer, the user initiates a data rendering request to the WEB server in the cloud platform through a user browser and authenticates the validity of the data rendering request through an authentication server, after the authentication is successful, a bidirectional communication channel is established between the user browser and the rendering server based on a Websocket protocol to realize the synchronization of a user graphic interaction instruction and the rendering operation of the rendering server, and meanwhile, the rendering server reads the calculation result stored in the storage node module through the Samba service to perform data rendering.
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| CN201911211153.XA CN110909081A (en) | 2019-12-02 | 2019-12-02 | Back-end data fusion rendering service method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112882851A (en) * | 2021-03-24 | 2021-06-01 | 国家超级计算天津中心 | Cloud interaction system based on supercomputer |
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