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Cloud rendering platform task scheduling system and method based on probability model

A probabilistic model and task scheduling technology, applied in the field of cloud rendering management, which can solve problems such as easy to fall into local optimal solution, insufficient local search ability of particle swarm algorithm, slow convergence speed, etc.

Active Publication Date: 2016-11-09
SHANGHAI SHANGDA HAIRUN INFORMATION SYST +1
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

However, the particle swarm optimization algorithm has the disadvantages of insufficient local search ability, slow convergence speed, and easy to fall into the local optimal solution in the later stage.

Method used

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  • Cloud rendering platform task scheduling system and method based on probability model
  • Cloud rendering platform task scheduling system and method based on probability model
  • Cloud rendering platform task scheduling system and method based on probability model

Examples

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Embodiment

[0104] The present invention provides a cloud rendering platform task management system and method based on a probability model, which can enable the scene construction or production of renderings in software such as 3DMax, Photoshop, and Maya, through the cloud rendering task management based on a probability model of the present invention The system can schedule tasks, complete tasks in the shortest time and feedback relevant results to users.

[0105] Such as figure 1 As shown, a cloud rendering task management system based on a probability model is used for local scene construction and editing, and the present invention feeds back related results to users through cloud rendering. It includes cloud rendering user management equipment, cloud rendering task management equipment, and cloud rendering system management equipment. The cloud rendering system management equipment is connected to the cloud rendering user management equipment and cloud rendering task management equip...

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Abstract

The invention relates to a cloud rendering platform task scheduling system and method based on a probability model, for carrying out real-time tracking, monitoring and correction on a cloud rendering cluster. The system comprises a cloud rendering user management device, a cloud rendering task management device and a cloud rendering system management device, wherein the cloud rendering system management device is separately connected with the cloud rendering user management device and the cloud rendering task management device, and the cloud rendering user management device is connected with the cloud rendering task management device. Compared with the prior art, the system provided by the invention has the advantages of high task efficiency, cost saving, high instantaneity, predictability, etc.

Description

technical field [0001] The present invention relates to the field of cloud rendering management, in particular to a cloud rendering platform task scheduling system and method based on a probability model. Background technique [0002] Cloud computing is a new product of the development of traditional computers and grid computing. Cloud computing has inherent computing advantages that other models do not have. In a cloud computing environment, users can use services or infrastructure provided by cloud providers according to their own needs. For some large-scale tasks, users can submit task requests, and the task scheduling center of cloud computing can dynamically allocate resources to them according to the user's request. With the continuous development of cloud computing, people not only pursue the fastest completion time of cloud computing tasks but also hope to take into account the cost of machine operation. The goal of cloud computing task scheduling is to schedule ta...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08G06F9/50
CPCH04L67/10G06F9/5038H04L67/61
Inventor 李睿智任琴张培承卞敏捷高洪皓
Owner SHANGHAI SHANGDA HAIRUN INFORMATION SYST
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