CN115202853A - Virtual reality video cloud computing service method - Google Patents
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
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Abstract
The invention discloses a virtual reality video cloud computing service method which comprises a network interconnection module, a host virtualization module, a calculation force storage module, a calculation force calling module, a central management module and a user service module. The invention realizes the cluster virtualization of physical hosts with different configurations through the network interconnection module and the host virtualization module, creates a cloud computing power resource library with huge capacity through the computing power storage module, can fetch a proper amount of computing power resources from the computing power storage module for use according to specific task requirements through the computing power fetching module, and can connect a user demand end and a supply end of the computing power resources together through the central management module, so that a user can fully utilize the computing power on a server without excessively depending on a physical entity machine, thereby greatly reducing the deployment time and the use cost of the whole physical host and professional software, and simultaneously greatly improving the working efficiency.
Description
Technical Field
The invention relates to a cloud computing service method, in particular to a virtual reality video cloud computing service method, and belongs to the technical field of virtual reality.
Background
The virtual reality technology is a computer simulation system capable of creating and experiencing a virtual world, a simulation environment is generated by a computer, a user is immersed in the environment, the virtual reality technology relates to various image graphic processing services and decoding services, strong computing power is required to be used as support, and along with the development of the virtual reality technology, the quality requirements and speed requirements of a series of services such as splicing, broadcasting, dynamic effects, sound mixing, clipping and the like are higher and higher.
However, in the current professional graphic image rendering and high definition video encoding and decoding services of virtual reality, an independent entity host and a display card are required to process, that is, a high specification physical machine is required to be provided and professional software is provided to operate, so that the processing efficiency is low, the cost is high, the overall deployment time is too long, and the requirement of market development is difficult to adapt.
Disclosure of Invention
The invention mainly aims to provide a method for virtual reality video cloud computing service, and solves the problem that image rendering and encoding and decoding depend on a physical host too much.
The purpose of the invention can be achieved by adopting the following technical scheme:
a virtual reality video cloud computing service method comprises a network interconnection module, a host virtualization module, a calculation force storage module, a calculation force calling module, a central management module and a user service module;
a network interconnection module: the system comprises a switch, a plurality of physical hosts and a plurality of network servers, wherein the switch is used for connecting the physical hosts through the network;
a host virtualization module: the system comprises a physical host with a display card, a customized virtualization software and a plurality of small virtual servers, wherein the physical host with the display card is virtualized through the customized virtualization software to form the small virtual servers;
the calculation force storage module: the virtual machine is used for reasonably storing the computing resources on the virtual machine;
the calculation force calling module: the computing resource management system is used for calling the stored computing resources according to the requirements;
the central management module: the system is used for connecting a user demand end and a computing resource supply end, connecting each module and supervising and managing the whole system;
a user service module: an interface for providing access to a user.
Preferably, the calculation power storage module mainly comprises a calculation power calculation module, a calculation power adaptation module, a calculation power early warning module and a storage pool module;
a calculation force calculation module: the computing resource is used for computing the computing power resource which can be called by the virtual host;
and a calculation force adaptation module: the system comprises a plurality of virtual servers, a server and a server, wherein the virtual servers are used for allocating limited computing resources to the virtual servers according to requirements;
the calculation early warning module: the method is used for reasonably planning limited computational power resources;
a storage pool module: for storing the computing resources for recall.
Preferably, the computing power calculating module mainly comprises a CPU calculating module, a memory calculating module, a network card calculating module and a display card calculating module;
a CPU calculation module: the CPU is used for calculating and quantifying the operation processing capacity of the CPU;
a memory calculation module: the server storage space is used for calculation and quantification;
the network card calculation module: the system is used for calculating and quantifying the running capacity and speed of the network card;
the display card calculation module: the method is used for calculating and quantifying the operation processing capacity of the display card.
Preferably, the calculation early warning module mainly comprises a threshold setting module and an alarm module;
a threshold setting module: the system is used for setting a threshold value for limited computational power resources to prevent the machine from running overload;
an alarm module: and the system is used for prompting and warning when the computing power resource reaches a threshold value.
Preferably, the calculation power calling module mainly comprises a resource allocation module and a resource distribution module;
a resource allocation module: the system comprises a computing power storage pool module, a task execution module and a task execution module, wherein the computing power storage pool module is used for storing computing power resources required by tasks to be executed and distributing the computing power resources;
the resource distribution module: the system is used for distributing the computing resources called out from the storage pool to specific tasks.
Preferably, the central management module mainly comprises an instruction receiving module, an auditing module, a transmission module, a task library module, a resource releasing module and a monitoring module;
an instruction receiving module: the system comprises a video processing module, a video processing module and a video processing module, wherein the video processing module is used for receiving instructions of a user such as directing, cloud rendering, transcoding, splicing and video production;
an auditing module: the system is used for auditing the requirements of the user and the flow required by the requirements to be completed;
a transmission module: the system is used for transmitting the allocated computing resources from the storage pool module to the task side;
the task library module comprises: for providing space for tasks waiting to be processed, and tasks being processed;
a resource release module: the computing resources used for completing the task are released back to the storage pool module;
a monitoring module: for monitoring system and user behavior.
Preferably, the monitoring module mainly comprises a user behavior monitoring module and a system internal monitoring module;
the user behavior monitoring module: the system is used for monitoring the behavior of the user and mainly checking the attack behavior which may appear outside;
the system internal monitoring module: the method is used for monitoring the operation condition inside the system.
Preferably, the task library module mainly comprises a task decomposition module, a task processing module and a task combination module;
a task decomposition module: the system is used for decomposing and packaging tasks submitted by a user;
a task processing module: the system is used for processing the sub-packaged tasks;
and a task combination module: for grouping together the parts for which the packetization process is completed.
Preferably, the user service module mainly comprises an access module, an instruction sending module and a service receiving module;
an access module: the interface is used for providing the user with access to the server;
the instruction sending module: the human-computer interaction window is used for providing services such as broadcasting guide, cloud rendering, transcoding, splicing and video production for a user;
a service receiving module: a window for enabling a user to receive a service effort.
The invention has the beneficial technical effects that:
the virtual reality video cloud computing service method provided by the invention realizes the cluster virtualization of physical hosts with different configurations through the network interconnection module and the host virtualization module, creates a cloud computing power resource library with huge capacity through the computing power storage module, so that resources on the cluster hosts can be fully utilized, a proper amount of computing power resources can be called from the computing power storage module for use through the computing power calling module according to specific task requirements, and a user demand end and a supply end of the computing power resources can be connected together through the central management module, so that a user can fully utilize computing power on a server without excessively depending on a physical entity machine, especially when the user performs operations with high requirements such as broadcasting guidance, cloud rendering, transcoding, splicing, video production and the like, the deployment time of the whole physical host and professional software can be greatly reduced by using the cloud resource library, the use cost is greatly reduced, the working efficiency is greatly improved, the computing power resources are reasonably distributed, and the user can enter and use the cloud resources through the user service module.
Drawings
Fig. 1 is a system diagram of a preferred embodiment of a method of virtual reality video cloud computing services in accordance with the present invention;
FIG. 2 is a diagram of a computational power storage system in accordance with a preferred embodiment of a method of virtual reality video cloud computing services in accordance with the present invention;
fig. 3 is a diagram of a computing power early warning system according to a preferred embodiment of a method of a virtual reality video cloud computing service according to the present invention;
FIG. 4 is a diagram of a computing power retrieval system in accordance with a preferred embodiment of a method of a virtual reality video cloud computing service in accordance with the present invention;
FIG. 5 is a diagram of a central management system of a preferred embodiment of a method of virtual reality video cloud computing services in accordance with the present invention;
FIG. 6 is a diagram of a task library system in accordance with a preferred embodiment of a method of virtual reality video cloud computing services in accordance with the present invention;
FIG. 7 is a user service system diagram of a preferred embodiment of a method of virtual reality video cloud computing services in accordance with the present invention;
fig. 8 is a service structure diagram of a method for virtual reality video cloud computing service according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention more clear and definite for those skilled in the art, the present invention is further described in detail below with reference to the examples and the accompanying drawings, but the embodiments of the present invention are not limited thereto.
In this embodiment, as shown in fig. 1, the method for virtual reality video cloud computing service provided in this embodiment includes a network interconnection module, a host virtualization module, an effort storage module, an effort retrieval module, a central management module, and a user service module; a network interconnection module: the system comprises a switch, a plurality of physical hosts and a plurality of network servers, wherein the switch is used for connecting the physical hosts through the network; a host virtualization module: the system comprises a physical host with a video card, a customized virtualization software and a plurality of small virtual servers, wherein the physical host with the video card is virtualized through the customized virtualization software to form the small virtual servers; the calculation force storage module: the system is used for reasonably storing computing power resources on the virtual host; the calculation force calling module: the computing resource management system is used for calling the stored computing resources according to the requirements; the central management module: the system is used for connecting a user demand end and a computing resource supply end, connecting each module and supervising and managing the whole system; a user service module: an interface for providing access to a user.
In this embodiment, as shown in fig. 2, the calculation power storage module mainly includes a calculation power calculation module, a calculation power adaptation module, a calculation power early warning module, and a storage pool module; a calculation force calculation module: the virtual machine is used for calculating the computing power resource which can be called by the virtual machine; the calculation force adaptation module: the system comprises a plurality of virtual servers, a server and a server, wherein the virtual servers are used for allocating limited computing resources to the virtual servers according to requirements; the calculation early warning module: the method is used for reasonably planning limited computational power resources; a storage pool module: for storing the computing resources for recall.
In this embodiment, as shown in fig. 2, the computing power calculating module mainly includes a CPU calculating module, a memory calculating module, a network card calculating module, and a display card calculating module; a CPU calculation module: the CPU is used for calculating and quantifying the operation processing capacity of the CPU; a memory calculation module: the system is used for calculating and quantifying the storage space of the server; the network card calculation module: the system is used for calculating and quantifying the running capacity and speed of the network card; the display card calculation module: the method is used for calculating and quantifying the running processing capacity of the display card.
In this embodiment, as shown in fig. 3, the computing power early warning module mainly includes a threshold setting module and an alarm module; a threshold setting module: the system is used for setting a threshold value for limited computational power resources to prevent the machine from running overload; an alarm module: and the system is used for prompting and warning when the computing power resource reaches a threshold value.
In this embodiment, as shown in fig. 4, the calculation power retrieving module mainly includes a resource allocation module and a resource distribution module; a resource allocation module: the system comprises a computing power storage pool module, a task execution module and a task execution module, wherein the computing power storage pool module is used for storing computing power resources required by tasks to be executed and distributing the computing power resources; the resource distribution module: the system is used for distributing the computing resources called out from the storage pool to specific tasks.
In this embodiment, as shown in fig. 5, the central management module mainly includes an instruction receiving module, an auditing module, a transmission module, a task library module, a resource releasing module, and a monitoring module; an instruction receiving module: the system comprises a video processing module, a video processing module and a video processing module, wherein the video processing module is used for receiving instructions of a user such as directing, cloud rendering, transcoding, splicing and video production; an auditing module: the system is used for auditing the requirements of the user and the flow required for the requirements to be completed; a transmission module: the system is used for transmitting the allocated computing resources from the storage pool module to the task side; the task library module comprises: for providing space for tasks waiting to be processed, and tasks being processed; a resource release module: the computing resources used for completing the task are released back to the storage pool module; a monitoring module: for monitoring system and user behavior.
In this embodiment, as shown in fig. 5, the monitoring module mainly includes a user behavior monitoring module and a system internal monitoring module; the user behavior monitoring module: the system is used for monitoring the behavior of the user and mainly checking the attack behavior which may appear outside; the system internal monitoring module: the method is used for monitoring the operation condition inside the system.
In this embodiment, as shown in fig. 6, the task library module mainly includes a task decomposition module, a task processing module, and a task combination module; a task decomposition module: the system is used for decomposing and packaging tasks submitted by a user; a task processing module: the system is used for processing the sub-packaged tasks; and a task combination module: for grouping together the parts for which the packetization process is completed.
In this embodiment, as shown in fig. 7, the user service module mainly includes an access module, an instruction sending module, and a service receiving module; an access module: the interface is used for providing the user with access to the server; the instruction sending module: the human-computer interaction window is used for providing services of obtaining a program guide, cloud rendering, transcoding, splicing, video production and the like for a user; a service receiving module: a window for enabling a user to receive a service effort.
In summary, in this embodiment, a cloud computing resource library with a large capacity is created through a network interconnection module and a host virtualization module, so that resources on a clustered host can be fully utilized, a computing power retrieval module can retrieve a proper amount of computing power resources from the computing power storage module according to specific task requirements for use, and a central management module can connect a user demand end and a supply end of the computing power resources together, so that a user can fully utilize computing power on a server without excessively depending on a physical entity machine, especially when the user performs operations with high configuration requirements such as director, cloud rendering, transcoding, splicing, video production, and the like, the deployment time of the whole physical host and professional software can be greatly reduced by using the cloud resource library, the use cost is greatly reduced, the working efficiency is greatly improved, the computing power resources are reasonably allocated, and the user can enter and use a window of the cloud computing resources through the user service module, and the purpose of the cloud computing power resources used by the user is achieved.
The above description is only for the purpose of illustrating the present invention and is not intended to limit the scope of the present invention, and any person skilled in the art can substitute or change the technical solution of the present invention and its conception within the scope of the present invention.
Claims (9)
1. A method for virtual reality video cloud computing service is characterized in that: the system comprises a network interconnection module, a host virtualization module, a calculation force storage module, a calculation force calling module, a central management module and a user service module;
a network interconnection module: the system comprises a switch, a plurality of physical hosts and a plurality of data processing units, wherein the physical hosts are used for network connection through the switch;
a host virtualization module: the system comprises a physical host with a video card, a customized virtualization software and a plurality of small virtual servers, wherein the physical host with the video card is virtualized through the customized virtualization software to form the small virtual servers;
the calculation force storage module: the virtual machine is used for reasonably storing the computing resources on the virtual machine;
the calculation force calling module: the computing resource management system is used for calling the stored computing resources according to the requirements;
the central management module: the system is used for connecting a user demand end and a computing resource supply end, connecting each module and supervising and managing the whole system;
a user service module: an interface for providing access to a user.
2. The method of virtual reality video cloud computing service according to claim 1, wherein: the calculation power storage module mainly comprises a calculation power calculation module, a calculation power adaptation module, a calculation power early warning module and a storage pool module;
a calculation force calculation module: the computing resource is used for computing the computing power resource which can be called by the virtual host;
the calculation force adaptation module: the system comprises a plurality of virtual servers, a server and a server, wherein the virtual servers are used for allocating limited computing resources to the virtual servers according to requirements;
the calculation early warning module: the system is used for reasonably planning limited computational power resources;
a storage pool module: for storing the computing resources for recall.
3. The method of virtual reality video cloud computing service according to claim 1, wherein: the computing power computing module mainly comprises a CPU computing module, a memory computing module, a network card computing module and a display card computing module;
a CPU calculation module: the CPU is used for calculating and quantifying the operation processing capacity of the CPU;
a memory calculation module: the server storage space is used for calculation and quantification;
the network card calculation module: the system is used for calculating and quantifying the running capacity and speed of the network card;
the display card calculation module: the method is used for calculating and quantifying the operation processing capacity of the display card.
4. The method for virtual reality video cloud computing service according to claim 3, wherein: the computing power early warning module mainly comprises a threshold setting module and an alarm module;
a threshold setting module: the system is used for setting a threshold value for limited computational power resources to prevent the machine from running overload;
an alarm module: and the system is used for prompting and warning when the computing resources reach a threshold value.
5. The method of virtual reality video cloud computing service according to claim 1, wherein: the calculation power calling module mainly comprises a resource allocation module and a resource distribution module;
a resource allocation module: the computing power storage module is used for computing the tasks required to be executed and the required computing power resources and allocating the computing power resources from the computing power storage pool module;
the resource distribution module: the system is used for distributing the computing resources called out from the storage pool to specific tasks.
6. The method of virtual reality video cloud computing service according to claim 1, wherein: the central management module mainly comprises an instruction receiving module, an auditing module, a transmission module, a task library module, a resource releasing module and a monitoring module;
the instruction receiving module: the system comprises a video processing module, a video processing module and a video processing module, wherein the video processing module is used for receiving instructions of a user such as directing, cloud rendering, transcoding, splicing and video production;
an auditing module: the system is used for auditing the requirements of the user and the flow required by the requirements to be completed;
a transmission module: the system is used for transmitting the allocated computing resources from the storage pool module to the task side;
the task library module comprises: for providing space for tasks waiting to be processed, and tasks being processed;
a resource release module: a memory pool module for releasing computing resources to complete the task back to the memory pool;
a monitoring module: for monitoring system and user behavior.
7. The method of virtual reality video cloud computing service according to claim 6, wherein: the monitoring module mainly comprises a user behavior monitoring module and a system internal monitoring module;
the user behavior monitoring module: the system is used for monitoring the behavior of the user and mainly checking the attack behavior which may appear outside;
the system internal monitoring module: the method is used for monitoring the operation condition inside the system.
8. The method of virtual reality video cloud computing service according to claim 6, wherein: the task library module mainly comprises a task decomposition module, a task processing module and a task combination module;
a task decomposition module: the system is used for decomposing and packaging tasks submitted by a user;
a task processing module: the system is used for processing the sub-packaged tasks;
a task combination module: for grouping together the parts for which the packetization process is completed.
9. The method of virtual reality video cloud computing service according to claim 1, wherein: the user service module mainly comprises an access module, an instruction sending module and a service receiving module;
an access module: the interface is used for providing the user with access to the server;
an instruction sending module: the human-computer interaction window is used for providing services of obtaining a program guide, cloud rendering, transcoding, splicing, video production and the like for a user;
a service receiving module: a window for enabling a user to receive a service effort.
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| CN116610270A (en) * | 2023-07-21 | 2023-08-18 | 湖南马栏山视频先进技术研究院有限公司 | Video processing calculation and separation method and video calculation and separation system |
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| CN116610270A (en) * | 2023-07-21 | 2023-08-18 | 湖南马栏山视频先进技术研究院有限公司 | Video processing calculation and separation method and video calculation and separation system |
| CN116610270B (en) * | 2023-07-21 | 2023-10-03 | 湖南马栏山视频先进技术研究院有限公司 | Video processing calculation and separation method and video calculation and separation system |
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Application publication date: 20221018 |