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Real-time video processing oriented load-aware cloud calculation system

A load-aware, real-time video technology, applied in the field of video processing, cloud computing and big data, can solve the problems of large resource consumption and large data volume, and achieve the effect of maximizing utilization

Active Publication Date: 2015-11-11
CHINA UNIV OF PETROLEUM (EAST CHINA)
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of large resource consumption and large data volume caused by intelligent information mining between real-time video streams in the cloud environment, the present invention proposes a real-time video processing-oriented load based on cloud computing and big data platforms. Perceived cloud computing system can maximize the use of cloud node resources and improve computing speed

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  • Real-time video processing oriented load-aware cloud calculation system
  • Real-time video processing oriented load-aware cloud calculation system
  • Real-time video processing oriented load-aware cloud calculation system

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Embodiment Construction

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0025] Such as figure 1 As shown, the load-aware cloud computing system for real-time video processing of the present invention includes: Storm cluster, video stream generator, stream server, load checker, parameter controller, video processor and protocol provider.

[0026] As the core component of the present invention, the Storm cluster is used to provide infrastructure services.

[0027] The video stream generator is responsible for generating, receiving ...

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Abstract

The invention provides a real-time video processing oriented load-aware cloud calculation system. The system comprises a Storm cluster used for providing infrastructure service, a video streaming generator used for generating, receiving, and sending video streaming, a streaming server used for caching video data, providing a unified message interface, and reducing the coupling between assemblies, a load detector, a parameter controller used for performance analysis and evaluation of the cluster, a video processor used for respectively providing interfaces based on CPU and GPU processing, and a protocol supplier used for providing various protocols, the load detector binds a load awareness algorism to aware the calculating load of a task and notifies the Storm cluster to select the needed processor type via the analysis of CPU, GPU, and memory usage conditions of a node of the task, and the parameter controller interacts with the Storm cluster via the protocol supplier so that message exchange under different protocols is realized, and the coupling between modules is removed.

Description

technical field [0001] The invention relates to the fields of cloud computing big data and video processing, in particular to a load-aware cloud computing system oriented to real-time video processing. Background technique [0002] With the vigorous development of business models and research directions such as the Internet, mobile devices, smart homes, and intelligent transportation, massive real-time data needs to be effectively utilized, and video data is particularly important due to its high real-time performance and large data volume. International Data Corporation's latest report "The Digital Universe in 2020" pointed out that in 2012, half of the global big data was video data, and by 2015, the proportion will reach 65%. [0003] Compared with the CPU, using the GPU to process video can greatly improve the calculation speed. However, the disadvantage of current GPU processing platforms is that although GPU-based tasks consume less CPU, they consume a lot of memory. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08G06F9/50
CPCG06F9/5077H04L43/0876H04L43/0882H04L67/1097
Inventor 张卫山段鹏程卢清华宫文娟李忠伟
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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