A massive information super display platform based on cloud computing

Abstract

The invention relates to an intelligent massive information super display platform based on cloud computing, including an information display splicing screen, a computer cluster distributed parallel computing display system, a computer network and a cloud computing information source interface; the computer cluster distributed parallel computing display system includes a master node, Sub-node computers; in the main node and sub-node computers, the intelligent scheduling module reads and intelligently schedules the cloud information content in an orderly manner, displays and outputs cloud information through the information rendering and display module, and performs intelligent layout, tiling, and cascading of information sources , moving and zooming; the management control module receives user instructions, loads management information sources and sends control commands to complete the control of display information by each sub-node computer; the invention uses cluster parallel ultra-high resolution display technology to divide information sources into texture objects and then Merge the whole texture and bind it to the display window, and display it through the CPU and GPU joint high-speed processing information display and rendering module.

Description

technical field [0001] The invention relates to mass information visualization and ultra-high resolution display technology, in particular to a cloud computing-based mass information super display platform. Background technique [0002] Cloud computing (Cloud Computing) is a computer network-based supercomputing model. In a narrow sense, it is a comprehensive development of distributed processing, parallel processing and grid computing technology, a new computing model, and a new method of sharing infrastructure. In a broad sense, it is an Internet-based computing method, through which shared hardware and software resources and information can be provided to computers and other devices for internal and external services on demand. [0003] With the rapid development and wide application of cloud computing technology, the amount of information and data provided by cloud computing infrastructure has shown explosive growth. All kinds of new types of information emerge in endl...

AI Technical Summary

Problems solved by technology

[0006] With the construction of the high-resolution observation satellite system, the cloud computing infrastructure will provide a large amount of satellite mass information, and the image information data will reach more than 1 billion pixels. However, due to the limitation of the display unit size and computer processing power, the current market information The display system can only display partial information of massive images, and cannot support ultra-high resolution display of massive image data

[0007] (2) Bottleneck 2: Information display and processing speed is slow;

[0008] Restricted by CPU processing power and memory size, it is difficult for the current computer system to support the rapid processing and display of massive data information. Even just reading 10GB of data information will take tens of minutes, while smart cities and intelligent traffic emergency Command and others have very high requirements on the response time of information display, so it is necessary to provide a high-speed real-time massive information display system

[0009] (3) Bottleneck 3: The display platform is difficult to expand;

[0010] Since the display unit is controlled by a centralized control method, the decoding and rendering of the entire large-screen display image are concentrated in the image splicer, and the expansion of the display platform is limited by the processing capabilities of the image splicer, image processing matrix and other equipment. expand

[0011] (4) Bottleneck 4: display information is difficult to schedule;

[0012] The display information source scheduling depends on the image processing matrix. When the system scale increases, multiple image processing matrices have to be configured. The information source scheduling between the matrices is difficult to achieve, which affects users' arbitrary scheduling of display information according to their needs.

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